02/23/2024 updated
100 % available
Software Engineer
Rosemead, USA
Worldwide
Bsc in Computer ScienceHTMLJavaScriptApplication Programming Interfaces (APIs)Agile MethodologyArtificial IntelligenceApache AirflowAmazon Web ServicesAmazon Elastic Compute CloudAmazon S3Data AnalysisComputer VisionAtlassian JiraHTML5AuthenticationsTest Automation
AWS Lambda, Agile, agile methodologies, Apache Airflow, DynamoDB, EC2, Redshift, AWS Redshift, RDS, S3, AWS, AWS services, Angular, Kafka, API Gateway, API, APIs, Artificial Intelligence, AI, Automated testing, Auto-Scaling, Azure Data Factory, Azure Data Lake, Backend, large data sets, Bitbucket, blockchain, Bootstrap, CSS, CSS3, CircleCI, cloud infrastructure, cloud services, Cloud Storage, CloudWatch, code reviews, network traffic, computer vision, CI/CD, CORS, Cypress, analytics, data analysis, data pipelines, process data, data storage, data visualization, data visualization tools, data warehousing, database connection, database performance, Database, Databricks, deep learning, DevOps, Django, Django Rest Framework, Docker, Elastic Beanstalk, ElasticSearch, Figma, Flask, frontend, front-end, Generative AI, Git, GitHub, GitLab, GitlabCI, Google Calendar, GCP (Google Cloud Platform), GraphQL, gRPC, HTML, HTML5, IAM, Computer Science, Integration testing, Jira, JWT, JavaScript, Jest, Jenkins, K Means, Keras, knowledge management, Kubernetes, Linear regression, Linux, Linux/Unix, location-based services, Logistic regression, Machine Learning, Material UI, Matplotlib, MQTT, Microservice, micro-service, backend services, microservices, Microsoft Azure, Azure services, Azure, Azure cloud services, MongoDB, MySQL, NLP, Next.js, NoSQL, Node.js, Numpy, OAUTH, paired programming, Pandas, pixel-perfect, Plotly, PostgreSQL, Profilers, PySpark, PyTest, Python, PyTorch, Message Queue, RabbitMQ, React.js, React, Redis, reinforcement learning, responsive web, REST API, Restful APIs, SQL, SQL Database, SciPy, SciKit-Learn, Scrum, Selenium, serverless, shell scripting, SOAP, Debugging, Design Patterns, software development lifecycle, Version Control, Support vector machines, high availability, SDLC, Tableau, Tailwind CSS, TensorFlow, transaction processing, TypeScript, Unit testing, user authentication, Vue.js, Web Security, web service, WebSockets
Experience
Professional experience5 - 10 years
Freelancer since2014
Languages
EnglishFluent
Project history
Project: Healthcare Product
* Led the migration of a legacy monolithic healthcare system to a micro-service, resulting in improved scalability,
flexibility, and reduced operational costs.
* Collaborated with cross-functional teams, including architects and product managers, and other internal and
external developers, to understand project requirements and translate them into technical specifications.
* Implemented robust, scalable backend services using server-side technologies like Python, Node.js and also
implemented server-less computing using AWS Lambda, using Python for developing Lambda functions to process
data.
* Created and consumed Restful APIs to integrate by utilizing DRF (Django Rest Framework), Fast API, AWS
Lambda (Python or JavaScript), and implemented AWS API Gateway for creating RESTful APIs.
* Performed unit testing and debugging to ensure the quality and performance of applications by utilizing
frameworks like Pytest, Selenium, and automated testing .
* Designed and optimized database schemas, efficient data storage and retrieval by utilizing MySQL, PostgreSQL
and MongoDB as well as Elasticsearch.
* Utilized AWS Redshift and PySpark for data warehousing and analytics, managing and analyzing extensive
datasets including patient records, medical imaging, claims, and clinical trial data.
* Worked on libraries like NumPy, Pandas, SciKit-Learn, Matplotlib, Seaborn, Plotly and gRPC in microservices.
* Provided expert training and mentorship at OpenAI, sharing deep knowledge of OpenAI's development practices.
* 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 (Generative AI) and utilized Vertex AI.
* Used Message Queue for asynchronous communication used in serverless and micro-service communications.
* Developed user-friendly, responsive web applications using the latest frontend technologies such as HTML5,
CSS, JavaScript, and modern frameworks like React, Next.js, Angular, or Vue.js, Nuxt.js.
* Implemented and Integrated AWS CloudWatch to monito and log system performance, resulting in a reduction in
downtime and ensuring high availability of critical services.
* Collaborated with AI engineer to design and develop machine learning models and algorithms that can process
and analyze large data sets to improve clinical trial design, patient recruitment, data analysis, etc.
* Experienced in mathematics, algorithm implementation, and utilized Python to build, train, and deploy AI models
using commonly used libraries such as TensorFlow, PyTorch, Keras, Numpy, SciPy, specializing in machine learning,
computer vision, deep learning, reinforcement learning, NLP, and data science.
* To optimize performance, utilized DevTools to analyze frontend network traffic, utilized Profilers to identify
backend bottlenecks, and optimized database performance.
* Utilized GCP for specific functionalities, including the Google Map API for location-based services, Google
Calendar and Cloud Storage for scalable object storage.
* Collaborated with other teams such as DevOps teams to set up CI/CD pipelines on AWS, Docker on Linux
system, facilitating automated deployments and enhancing the development workflow.
* 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.
* Led the migration of a legacy monolithic healthcare system to a micro-service, resulting in improved scalability,
flexibility, and reduced operational costs.
* Collaborated with cross-functional teams, including architects and product managers, and other internal and
external developers, to understand project requirements and translate them into technical specifications.
* Implemented robust, scalable backend services using server-side technologies like Python, Node.js and also
implemented server-less computing using AWS Lambda, using Python for developing Lambda functions to process
data.
* Created and consumed Restful APIs to integrate by utilizing DRF (Django Rest Framework), Fast API, AWS
Lambda (Python or JavaScript), and implemented AWS API Gateway for creating RESTful APIs.
* Performed unit testing and debugging to ensure the quality and performance of applications by utilizing
frameworks like Pytest, Selenium, and automated testing .
* Designed and optimized database schemas, efficient data storage and retrieval by utilizing MySQL, PostgreSQL
and MongoDB as well as Elasticsearch.
* Utilized AWS Redshift and PySpark for data warehousing and analytics, managing and analyzing extensive
datasets including patient records, medical imaging, claims, and clinical trial data.
* Worked on libraries like NumPy, Pandas, SciKit-Learn, Matplotlib, Seaborn, Plotly and gRPC in microservices.
* Provided expert training and mentorship at OpenAI, sharing deep knowledge of OpenAI's development practices.
* 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 (Generative AI) and utilized Vertex AI.
* Used Message Queue for asynchronous communication used in serverless and micro-service communications.
* Developed user-friendly, responsive web applications using the latest frontend technologies such as HTML5,
CSS, JavaScript, and modern frameworks like React, Next.js, Angular, or Vue.js, Nuxt.js.
* Implemented and Integrated AWS CloudWatch to monito and log system performance, resulting in a reduction in
downtime and ensuring high availability of critical services.
* Collaborated with AI engineer to design and develop machine learning models and algorithms that can process
and analyze large data sets to improve clinical trial design, patient recruitment, data analysis, etc.
* Experienced in mathematics, algorithm implementation, and utilized Python to build, train, and deploy AI models
using commonly used libraries such as TensorFlow, PyTorch, Keras, Numpy, SciPy, specializing in machine learning,
computer vision, deep learning, reinforcement learning, NLP, and data science.
* To optimize performance, utilized DevTools to analyze frontend network traffic, utilized Profilers to identify
backend bottlenecks, and optimized database performance.
* Utilized GCP for specific functionalities, including the Google Map API for location-based services, Google
Calendar and Cloud Storage for scalable object storage.
* Collaborated with other teams such as DevOps teams to set up CI/CD pipelines on AWS, Docker on Linux
system, facilitating automated deployments and enhancing the development workflow.
* 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.
* Designed and developed a decentralized social media platform utilizing blockchain technology and Python,
ensuring user privacy and data ownership.
* Designed and implemented core features such as user profiles, content feeds, commenting, and sharing
functionalities.
* Built Blockchain Defi & Dex apps using React.js, developed Restful APIs & GraphQL to enable smooth
communication between the backend, frontend, and blockchain smart contracts.
* Implemented smart contracts on the Ethereum blockchain to facilitate transparent and trustless interactions within
the social network.
* Engineered a content delivery system using IPFS for decentralized storage, enhancing data resilience and
availability.
* Integrated user authentication and authorization mechanisms using blockchain-based identity protocols, ensuring
secure user onboarding.
* Collaborated with UX/UI designers to enhance the user experience and implement responsive features on the
social media platform.
* Contributed to the development of a blockchain-based cryptocurrency wallet application, implementing secure
and efficient transaction processing.
* Implemented and optimized consensus algorithms for blockchain networks, enhancing the scalability and
performance of decentralized systems.
* Worked within Linux/Unix environments, utilizing shell scripting to automate tasks and processes.
* Deployed ML models using scikit-learn, TensorFlow and used Matplotlib, Seaborn for data visualization
application.
* Pioneered the use of Vertex AI, Gen AI (Generative AI) for serverless machine learning and training models.
* Developed Machine Learning and NLP framework and models, build the infrastructure using SQL, RabbitMQ,
Redis, Tableau, MQTT, used data visualization tools (Pie, Histogram, Boxplot, and 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, and 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,
ADLS.
* 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.
ensuring user privacy and data ownership.
* Designed and implemented core features such as user profiles, content feeds, commenting, and sharing
functionalities.
* Built Blockchain Defi & Dex apps using React.js, developed Restful APIs & GraphQL to enable smooth
communication between the backend, frontend, and blockchain smart contracts.
* Implemented smart contracts on the Ethereum blockchain to facilitate transparent and trustless interactions within
the social network.
* Engineered a content delivery system using IPFS for decentralized storage, enhancing data resilience and
availability.
* Integrated user authentication and authorization mechanisms using blockchain-based identity protocols, ensuring
secure user onboarding.
* Collaborated with UX/UI designers to enhance the user experience and implement responsive features on the
social media platform.
* Contributed to the development of a blockchain-based cryptocurrency wallet application, implementing secure
and efficient transaction processing.
* Implemented and optimized consensus algorithms for blockchain networks, enhancing the scalability and
performance of decentralized systems.
* Worked within Linux/Unix environments, utilizing shell scripting to automate tasks and processes.
* Deployed ML models using scikit-learn, TensorFlow and used Matplotlib, Seaborn for data visualization
application.
* Pioneered the use of Vertex AI, Gen AI (Generative AI) for serverless machine learning and training models.
* Developed Machine Learning and NLP framework and models, build the infrastructure using SQL, RabbitMQ,
Redis, Tableau, MQTT, used data visualization tools (Pie, Histogram, Boxplot, and 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, and 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,
ADLS.
* 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 content pages utilizing CSS3 layout and style markup presentations.
* Implemented JavaScript methods and properties to enhance user interactions.
* Utilized Bootstrap for responsive layout design.
* Translated Figma designs into pixel-perfect and responsive web pages.
* Maintained and updated the website according to specific Requirements.
* Initiated development of APIs and database connection for backend using Node.js for backend functionality.
* Wrote the effective JavaScript codes to improve performance for Server-Side.
* Regularly monitored the performance of containerized applications in the Docker, Kubernetes, and 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,
ADLS.
* 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.
* Implemented JavaScript methods and properties to enhance user interactions.
* Utilized Bootstrap for responsive layout design.
* Translated Figma designs into pixel-perfect and responsive web pages.
* Maintained and updated the website according to specific Requirements.
* Initiated development of APIs and database connection for backend using Node.js for backend functionality.
* Wrote the effective JavaScript codes to improve performance for Server-Side.
* Regularly monitored the performance of containerized applications in the Docker, Kubernetes, and 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,
ADLS.
* 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.