12/27/2024 updated
100 % available
valiant codecraft wizard | Senior Full Stack Developer
San Antonio, USA
Only remote
Bachelor's Degree In Computer ScienceFlutterASP.NETJava (Programming Language)JavaScriptPHPApplication Programming Interfaces (APIs)Agile MethodologyArtificial IntelligenceApache AirflowAmazon Web ServicesAmazon CloudfrontAmazon Elastic Compute CloudAmazon S3Data AnalysisApache HTTP Server
.NET Core, ASP.Net, AWS Glue, Agile methodologies, Apache Airflow, CloudFront, DynamoDB, EC2, Redshift, RDS, S3, AWS, AWS services, Angular, Ansible, Flink, Apache, Hadoop, Kafka, Apache NiFi, Apache Spark, Apache Tomcat, Yarn, API Gateway, API, Artificial Intelligence, AI, automated testing, Auto-Scaling, Azure Data Factory, Azure Data Lake, Bash, Bash scripting, large data sets, large datasets, big data, BigQuery, Bitbucket, Blockchain, Bootstrap, C#, C++, CSS, Cassandra, CircleCI, Cloud, cloud infrastructure, Cloud Services, Cloud Storage, Cloudwatch, code reviews, CLI, complex network, CI/CD, CouchDB, CORS, Cypress, Dart, analytics, data analysis, data ingestion, data integration, data pipelines, data processing, data manipulation, data storage, data visualization tools, data visualization, data visualizations, database queries, Databases, database, Databricks, Datadog, DevOps, diagnostic tools, distributed computing, Django, Python Django, Docker, Docker Compose, Dynatrace, ElasticSearch, Express.js, ETL, ETL development, FastAPI, Firebase, Flask, Flutter, front-end, Git, Github, Gitlab, GitlabCI, GCP, Google Cloud Platform, GCP(Google Cloud Platform), GraphQL, gRPC, HTML5, HubSpot, HuggingFace, IBM DataStage, IAM, Computer Science, Jira, JSON, JWT, Java, JDBC, JMS, JPA, J2EE, JavaScript, Jest, Jenkins, K Means, Keras, Kubernetes, Laravel, Linear regression, Linux/Unix, load balancing, log analysis, Logistic regression, Machine Learning, Material UI, Matplotlib, MERN, message brokers, MQTT, Microservice, microservices, backend services, microservices architecture, Azure, Azure services, Azure cloud services, basic data, Microsoft SQL Server, SQL Server, Mocha, MVC, MVVM, MongoDB, system monitoring, MySQL, NLP, Natural Language processing, Nest.js, servers, Next.js, Nginx, NoSQL, Node.js, Node, NPM, Numpy, CUDA, OAUTH, Oracle, Oracle Data Integrator, PHP, PL/SQL, paired programming, Pandas, parallel computing, Playwright, PostgreSQL, Postman, Power BI, PySpark, Pytest, Python, PyTorch, RabbitMQ, React Native, React, React.js, real-time data, Redis, regular expressions, Regex, reinforcement learning, Rest APIs, REST API, REST, Restful API, reverse proxy, Ruby, Ruby on Rails, SQL, SQL Queries, SQL Database, SSIS, Stored Procedures, Scala, SciKit-Learn, SciKit Learn, Scrum, Selenium, serverless, shell scripting, SOAP, Snowflake, application deployment, software development lifecycle, code quality, Splunk, Spring Data, Java Spring, Springboot, Spring MVC, SVN, Support vector machines, Swagger, SDLC, Tableau, Tailwind CSS, Talend, TFS, TensorFlow, Terraform, TypeScript, unstructured data, Vue, Vue.js, Web API, web applications, web apps, WCAG 2.0, Web services, WebRTC, WebSocket, Webpack, WCF, PowerShell, YAML
Experience
Professional experience10+ years
Freelancer since2014
Languages
EnglishNative speaker
Project history
* Lead a team of Data Scientists and Engineers to develop various versions of Machine Learning
and Natural Language processing (NLP) models in novel microservices of batch scoring and
real-time API serving of predictions.
* Developed Healthcare app using Python Django, Flask & React.js, E-Commerce project using C#,
ASP.Net & Angular.
* Built Blockchain Defi & Dex apps using Java Springboot & React.js, built Restful API servers
using Node.js/Express.js.
* Extensive experience in using PySpark for data processing tasks, including data ingestion,
transformation, and analysis, leveraging its powerful distributed computing capabilities.
* Proficient in handling large-scale datasets using PySpark, performing complex analytics
operations such as aggregations, joins, and window functions to derive meaningful insights from
structured and unstructured data sources.
* Built Splunk apps & dashboards to analyze large data sets, conducted data analysis using
Splunk's powerful search.
* Monitored EDI env using tools like Splunk, Dynatrace, implemented Datadog for monitoring system
performance.
* Integrated FastAPI with various data storage systems, including MySQL, PostgreSQL, RabbitMQ and
MongoDB as NoSQL DB, Redis and MQTT to persist and retrieve data from within the microservices.
* Managed large datasets using Hadoop and Snowflake, Databricks, developed Bash scripts automated
routine tasks.
* Administered Linux/Unix, performed shell scripting for automating tasks, applied regular
expressions (Regex).
* Managed ETL pipelines using Oracle Data Integrator(ODI), Informatica, Microsoft SQL Server
Integration Service (SSIS), IBM DataStage, Apache NiFi, Talend, Phetaho, integrated Llama for
efficient large-scale data analysis.
* Utilized Pandas and integrated machine learning capabilities using Python and frameworks -
Keras & PyTorch.
* Pioneered the adoption of TinyML for on-device ML apps, utilized CUDA & ROCm for parallel
computing in DL tasks.
* Worked on libraries like NumPy, Pandas, SciKit Learn, Matplot, Seaborn, psycopg2 and gRPC in
microservices.
* Provided expert training and mentorship at OpenAI, sharing deep knowledge of OpenAI's
development practices.
* Utilized Ansible, Terraform, Kubernetes for automating deployment and management of AI
applications.
* Managed IaC practices to manage infrastructure through code, integrated LangChain, SupplyChain
to automate NLP capabilities.
* Led the development of AI/ML models using Scala & Python, utilized the analytical solution
using Python and R.
* Used machine learning (ML) techniques supervised, unsupervised, reinforcement learning for
AI/ML use cases.
* Utilized Python & TensorFlow to develop AI models, leveraged Gen AI to augment Selenium and
utilized Vertex AI.
* Build GSHS Reports in Power BI from scratch, used various sources to pull data into Power BI
like SQL Server, oracle.
* Configured Nginx, Apache Tomcat for web applications, optimized existing RPC frameworks to
reduce latency.
* Optimized DAX formulas for performance and efficiency, ensuring fast loading times and
responsiveness of reports and dashboards.
* Applied DAX to perform time intelligence calculations, including year-over-year comparisons,
moving averages, and cumulative totals, to support decision-making processes.
* Collaborated with cross-functional teams to understand business requirements and translate them
into DAX-based solutions for data analysis and visualization.
* Designed web apps using Python on AWS with services - EC2, S3, Lambda, DynamoDB, ElasticSearch,
API Gateway, DMS, AWS Glue Catalog, Athena, Opensearch, Antiunity, AWS Kinesis DataStream's
CloudFront, AWS Cloudwatch.
* Automated various Azure tasks using Azure CLI, PowerShell, Azure Data Factory, ADLS2, Azure
Databricks, Synapse.
* Implemented GCP's (Google Cloud Platform) compute, storage, and database services - Compute
Engine, Cloud Storage, and Cloud SQL, utilized GCP's analytics and machine learning tools (like
BigQuery and AI Platform).
* Integrated CI/CD pipelines using Jenkins, CircleCI, Gitlab actions for automated testing and
deployment.
* Implemented TDD practices with Unittest, Pytest, Selenium, Hypothesis automated testing and
code quality.
* Led the MLOps transition from traditional deployment methods using Docker, Kubernetes, Apache
Airflow and architected Docker, Docker Compose and Kubernetes cluster to manage containerized
applications.
* Conducted code reviews and mentored junior developers, managed projects and lead a team through
the entire software development lifecycle (SDLC), incorporating Agile methodologies and paired
programming practices.
and Natural Language processing (NLP) models in novel microservices of batch scoring and
real-time API serving of predictions.
* Developed Healthcare app using Python Django, Flask & React.js, E-Commerce project using C#,
ASP.Net & Angular.
* Built Blockchain Defi & Dex apps using Java Springboot & React.js, built Restful API servers
using Node.js/Express.js.
* Extensive experience in using PySpark for data processing tasks, including data ingestion,
transformation, and analysis, leveraging its powerful distributed computing capabilities.
* Proficient in handling large-scale datasets using PySpark, performing complex analytics
operations such as aggregations, joins, and window functions to derive meaningful insights from
structured and unstructured data sources.
* Built Splunk apps & dashboards to analyze large data sets, conducted data analysis using
Splunk's powerful search.
* Monitored EDI env using tools like Splunk, Dynatrace, implemented Datadog for monitoring system
performance.
* Integrated FastAPI with various data storage systems, including MySQL, PostgreSQL, RabbitMQ and
MongoDB as NoSQL DB, Redis and MQTT to persist and retrieve data from within the microservices.
* Managed large datasets using Hadoop and Snowflake, Databricks, developed Bash scripts automated
routine tasks.
* Administered Linux/Unix, performed shell scripting for automating tasks, applied regular
expressions (Regex).
* Managed ETL pipelines using Oracle Data Integrator(ODI), Informatica, Microsoft SQL Server
Integration Service (SSIS), IBM DataStage, Apache NiFi, Talend, Phetaho, integrated Llama for
efficient large-scale data analysis.
* Utilized Pandas and integrated machine learning capabilities using Python and frameworks -
Keras & PyTorch.
* Pioneered the adoption of TinyML for on-device ML apps, utilized CUDA & ROCm for parallel
computing in DL tasks.
* Worked on libraries like NumPy, Pandas, SciKit Learn, Matplot, Seaborn, psycopg2 and gRPC in
microservices.
* Provided expert training and mentorship at OpenAI, sharing deep knowledge of OpenAI's
development practices.
* Utilized Ansible, Terraform, Kubernetes for automating deployment and management of AI
applications.
* Managed IaC practices to manage infrastructure through code, integrated LangChain, SupplyChain
to automate NLP capabilities.
* Led the development of AI/ML models using Scala & Python, utilized the analytical solution
using Python and R.
* Used machine learning (ML) techniques supervised, unsupervised, reinforcement learning for
AI/ML use cases.
* Utilized Python & TensorFlow to develop AI models, leveraged Gen AI to augment Selenium and
utilized Vertex AI.
* Build GSHS Reports in Power BI from scratch, used various sources to pull data into Power BI
like SQL Server, oracle.
* Configured Nginx, Apache Tomcat for web applications, optimized existing RPC frameworks to
reduce latency.
* Optimized DAX formulas for performance and efficiency, ensuring fast loading times and
responsiveness of reports and dashboards.
* Applied DAX to perform time intelligence calculations, including year-over-year comparisons,
moving averages, and cumulative totals, to support decision-making processes.
* Collaborated with cross-functional teams to understand business requirements and translate them
into DAX-based solutions for data analysis and visualization.
* Designed web apps using Python on AWS with services - EC2, S3, Lambda, DynamoDB, ElasticSearch,
API Gateway, DMS, AWS Glue Catalog, Athena, Opensearch, Antiunity, AWS Kinesis DataStream's
CloudFront, AWS Cloudwatch.
* Automated various Azure tasks using Azure CLI, PowerShell, Azure Data Factory, ADLS2, Azure
Databricks, Synapse.
* Implemented GCP's (Google Cloud Platform) compute, storage, and database services - Compute
Engine, Cloud Storage, and Cloud SQL, utilized GCP's analytics and machine learning tools (like
BigQuery and AI Platform).
* Integrated CI/CD pipelines using Jenkins, CircleCI, Gitlab actions for automated testing and
deployment.
* Implemented TDD practices with Unittest, Pytest, Selenium, Hypothesis automated testing and
code quality.
* Led the MLOps transition from traditional deployment methods using Docker, Kubernetes, Apache
Airflow and architected Docker, Docker Compose and Kubernetes cluster to manage containerized
applications.
* Conducted code reviews and mentored junior developers, managed projects and lead a team through
the entire software development lifecycle (SDLC), incorporating Agile methodologies and paired
programming practices.
* Developed backend services using Django, Flask, Scala-centric architecture and front-end using
React, Next.js.
* Built Healthcare application using Java Springboot & Angular, E-commerce application using C#,
ASP.Net, Vue.
* Designed restful api server using Node.js/Express.js, Nest.js and MongoDB, PostgreSQL database.
* Implemented Splunk's MLToolkit to automate predictive analytics, involved in migration to
Splunk Enterprise 7.3.
* Utilized Splunk for real-time data monitoring and log analysis, contributing to improved system
performance.
* Implemented Restful API & GraphQL to optimize data fetching to reduce API requests by 30%
across 5 projects.
* Developed SQL Queries, Stored Procedures, used Oracle, SQL, PL/SQL, reversed proxies, NoSQL -
MongoDB.
* Handled ETL development, handling massive datasets (Terabytes) using Oracle Data Integrator
(ODI), Informaticaf.
* Utilized Datadog's APM tools to resolve bottlenecks, implemented secure com channels in the RPC
framework.
* Utilized PyTorch for data preprocessing and augmentation, implemented advanced NLP tasks using
HuggingFace.
* Utilized MLIR for optimizing ML models, integrated PyTorch models, developed search feature for
the company's main product using MeiliSearch, integrated CausalX for causal inference analysis in
marketing strategies.
* Developed various solution driven views and dashboards by developing different chart types
including Pie Charts, Bar Charts, Scatter Plots in Power BI, implemented Cohere in developing
predictive models for customer behavior.
* Created a system monitoring suite using Bash scripting, mastered the use of Regex leading to a
substantial increase.
* Implemented and fine-tuned Nginx for optimal performance, demonstrated expertise in PySpark,
SQL, & Python.
* Utilized Ansible, Terraform, Kubernetes for application deployment and applied IaC principles.
* Worked within Linux/Unix environments, utilizing shell scripting to automate tasks and
processes.
* Deployed ML models using scikit-learn, TensorFlow and implemented gRPC in microservices
architecture.
* Pioneered the use of Vertex AI, Gen AI for serverless machine learning models and improving
model training.
* Developed Machine Learning and NLP framework and models, build the infrastructure using SQL,
RabbitMQ, Redis, Tableau, MQTT, used data visualization tools (Pie, Histogram, Boxplot, ggplot2,
Barplot) to share insights.
* Applied Machine Learning methodologies with R and Python, solved several real-life problems
using K Means, K Nearest, Linear regression, Logistic regression, Support vector machines,
Decision Tree methods.
* Regularly monitored the performance of containerized applications in the Docker, Kubernetes,
Apache Airflow.
* Managed AWS services like EC2, S3, DynamoDB, RDS, EBS, ELB, Auto-Scaling, AMI, ElasticSearch,
Amplify, IAM, Console, DMS, Glue Catalog, Athena, Opensearch, Antiunity, AWS Kinesis DataStream's
and API Integration.
* Maintained data pipelines using Azure Data Factory, utilized Azure services such as App
Service, SQL Database, Blob Storage. implemented innovative solutions using Azure Data Lake
Storage, Azure Databricks, Azure Synapse.
* Managed and optimized GCP(Google Cloud Platform) cloud resources, ensuring cost-effective
operation and compliance with security standards, enhanced site performance by integrating GCP
CDN & caching mechanisms.
React, Next.js.
* Built Healthcare application using Java Springboot & Angular, E-commerce application using C#,
ASP.Net, Vue.
* Designed restful api server using Node.js/Express.js, Nest.js and MongoDB, PostgreSQL database.
* Implemented Splunk's MLToolkit to automate predictive analytics, involved in migration to
Splunk Enterprise 7.3.
* Utilized Splunk for real-time data monitoring and log analysis, contributing to improved system
performance.
* Implemented Restful API & GraphQL to optimize data fetching to reduce API requests by 30%
across 5 projects.
* Developed SQL Queries, Stored Procedures, used Oracle, SQL, PL/SQL, reversed proxies, NoSQL -
MongoDB.
* Handled ETL development, handling massive datasets (Terabytes) using Oracle Data Integrator
(ODI), Informaticaf.
* Utilized Datadog's APM tools to resolve bottlenecks, implemented secure com channels in the RPC
framework.
* Utilized PyTorch for data preprocessing and augmentation, implemented advanced NLP tasks using
HuggingFace.
* Utilized MLIR for optimizing ML models, integrated PyTorch models, developed search feature for
the company's main product using MeiliSearch, integrated CausalX for causal inference analysis in
marketing strategies.
* Developed various solution driven views and dashboards by developing different chart types
including Pie Charts, Bar Charts, Scatter Plots in Power BI, implemented Cohere in developing
predictive models for customer behavior.
* Created a system monitoring suite using Bash scripting, mastered the use of Regex leading to a
substantial increase.
* Implemented and fine-tuned Nginx for optimal performance, demonstrated expertise in PySpark,
SQL, & Python.
* Utilized Ansible, Terraform, Kubernetes for application deployment and applied IaC principles.
* Worked within Linux/Unix environments, utilizing shell scripting to automate tasks and
processes.
* Deployed ML models using scikit-learn, TensorFlow and implemented gRPC in microservices
architecture.
* Pioneered the use of Vertex AI, Gen AI for serverless machine learning models and improving
model training.
* Developed Machine Learning and NLP framework and models, build the infrastructure using SQL,
RabbitMQ, Redis, Tableau, MQTT, used data visualization tools (Pie, Histogram, Boxplot, ggplot2,
Barplot) to share insights.
* Applied Machine Learning methodologies with R and Python, solved several real-life problems
using K Means, K Nearest, Linear regression, Logistic regression, Support vector machines,
Decision Tree methods.
* Regularly monitored the performance of containerized applications in the Docker, Kubernetes,
Apache Airflow.
* Managed AWS services like EC2, S3, DynamoDB, RDS, EBS, ELB, Auto-Scaling, AMI, ElasticSearch,
Amplify, IAM, Console, DMS, Glue Catalog, Athena, Opensearch, Antiunity, AWS Kinesis DataStream's
and API Integration.
* Maintained data pipelines using Azure Data Factory, utilized Azure services such as App
Service, SQL Database, Blob Storage. implemented innovative solutions using Azure Data Lake
Storage, Azure Databricks, Azure Synapse.
* Managed and optimized GCP(Google Cloud Platform) cloud resources, ensuring cost-effective
operation and compliance with security standards, enhanced site performance by integrating GCP
CDN & caching mechanisms.
* Developed E-Commerce app using Python Django Flask, and Vue.js. involved in Real-estate project
using C#, ASP.Net and React.js, take part in Healthcare app using Java Springboot, Angular,
restaurant app using Node, React.js(MERN).
* Developed a high-performance API using Python FastAPI, handling a large number of requests with
minimal latency.
* Continuous learning to stay updated with the latest Splunk features, assisted in the
maintenance of Splunk project.
* Utilized Bash scripting for data manipulation tasks (ETL), experienced with Azure Data Factory
& Talend/TMC.
* Involved in data integration projects, Talend for efficient ETL processes using Oracle Data
Integrator (ODI) & SSIS.
* Utilized Apache Spark, Hadoop, Flink for big data processing and integrating with TensorFlow &
PyTorch models.
* Used Vertex AI, Gen AI to enhance data visualization and reporting, revamped the contact
center's infrastructure, utilized Regex for basic data validation and formatting tasks,
contributing to improved data processing and accuracy.
* Troubleshot complex system issues using Datadog's diagnostic tools, developed cross-language
RPC interfaces.
* Created Power BI Reports using the Tabular SSAS models as source data in Power BI desktop.
* Specialized in automating complex network with Ansible, efficiently managing and provisioning
cloud infrastructure using Terraform, and scaling containerized applications with Docker and
Kubernetes.
* Designed elegant data visualizations with Tableau, configured Nginx server and reverse proxy
for load balancing.
* Developed efficient SQL queries for database like MySQL, PostgreSQL, RabbitMQ to retrieve,
update, and manage data, resulting in a 25% reduction in query response times and message brokers
like MQTT, Redis.
* Performed database queries using Python-MySQL connector and MySQL package to retrieve
information.
* Configured AWS cloud services like EC2, S3, DynamoDB, RDS, EBS, ELB, Auto-Scaling, AMI,
ElasticSearch, Amplify, IAM through Console, DMS, Glue Catalog, Athena, Opensearch, Antiunity,
Kinesis DataStream's and API Integration.
* Experienced in Azure cloud services, managing basic cloud infrastructure and application
deployments.
* Assisted in the deployment of applications on GCP(Google Cloud Platform), learning about
various GCP services.
using C#, ASP.Net and React.js, take part in Healthcare app using Java Springboot, Angular,
restaurant app using Node, React.js(MERN).
* Developed a high-performance API using Python FastAPI, handling a large number of requests with
minimal latency.
* Continuous learning to stay updated with the latest Splunk features, assisted in the
maintenance of Splunk project.
* Utilized Bash scripting for data manipulation tasks (ETL), experienced with Azure Data Factory
& Talend/TMC.
* Involved in data integration projects, Talend for efficient ETL processes using Oracle Data
Integrator (ODI) & SSIS.
* Utilized Apache Spark, Hadoop, Flink for big data processing and integrating with TensorFlow &
PyTorch models.
* Used Vertex AI, Gen AI to enhance data visualization and reporting, revamped the contact
center's infrastructure, utilized Regex for basic data validation and formatting tasks,
contributing to improved data processing and accuracy.
* Troubleshot complex system issues using Datadog's diagnostic tools, developed cross-language
RPC interfaces.
* Created Power BI Reports using the Tabular SSAS models as source data in Power BI desktop.
* Specialized in automating complex network with Ansible, efficiently managing and provisioning
cloud infrastructure using Terraform, and scaling containerized applications with Docker and
Kubernetes.
* Designed elegant data visualizations with Tableau, configured Nginx server and reverse proxy
for load balancing.
* Developed efficient SQL queries for database like MySQL, PostgreSQL, RabbitMQ to retrieve,
update, and manage data, resulting in a 25% reduction in query response times and message brokers
like MQTT, Redis.
* Performed database queries using Python-MySQL connector and MySQL package to retrieve
information.
* Configured AWS cloud services like EC2, S3, DynamoDB, RDS, EBS, ELB, Auto-Scaling, AMI,
ElasticSearch, Amplify, IAM through Console, DMS, Glue Catalog, Athena, Opensearch, Antiunity,
Kinesis DataStream's and API Integration.
* Experienced in Azure cloud services, managing basic cloud infrastructure and application
deployments.
* Assisted in the deployment of applications on GCP(Google Cloud Platform), learning about
various GCP services.