09/11/2026 updated
100 % available
Software Development Engineer | Full-Stack & Cloud | AI/MLOps
Mumbai, India
Worldwide
Master of Science in Computer ScienceAbout me
Product-focused software engineer with 4+ years in React, Node.js, APIs, AI, automation, and analytics. At Media.net, I built email tools, personalization features, and dynamic content. I enjoy testing ideas quickly and using data to improve products and growth.
RAGLLMJavaScriptPython (Programming Language)MySQLNode.jsTypeScriptReact.js
Cloud & DevOps Engineering
Extensive experience with AWS services including EventBridge, ECS, ECR, CloudWatch, S3, and SQS, as well as Azure and GCP. Deployment of containerized applications using Docker, CI/CD pipelines with Jenkins and GitHub Actions, and infrastructure monitoring with Grafana and Prometheus.
Backend Development & Databases
Strong background in building RESTful APIs and backend services using Node.js, FastAPI, Spring Boot, and NestJS. Proficiency with relational and NoSQL databases including MySQL, MongoDB, and ChromaDB, as well as OAuth and JWT-based authentication systems.
AI & MLOps
Hands-on experience with LLM-powered pipelines using LangChain, RAG, Claude AI, and Amazon Bedrock. Development and evaluation of machine-learning models with TensorFlow, Keras, Scikit-learn, and NumPy, including automated MLOps lifecycle management with MLflow.
Frontend Development
Building scalable and responsive user interfaces using React.js, Redux, HTML, and CSS. Experience with testing frameworks such as Selenium and Jest, and TypeScript for type-safe frontend development.
Programming Languages
Proficiency in multiple programming languages including Python, Java, SQL, C, JavaScript, and TypeScript, applied across backend, frontend, and data engineering contexts.
Data Security & Compliance
Implementation of data security measures using AWS KMS and blockchain-based key management, enforcing patient-level access control for medical records in compliance with healthcare regulations.
Test Automation & Quality Assurance
Deployment of Selenium-based test automation on AWS, REST API testing with Postman, and delivery of Jest test suites. Experience improving PR cycle times and integrating AI-powered templates into DevOps pipelines.
Developer Tools & Version Control
Proficient use of Git, Maven, Jenkins, Docker, CI/CD pipelines, Grafana, Streamlit, Prometheus, and SonarQube for code quality, release management, and observability.
Experience
Professional experience0 - 5 years
Freelancer since2026
Languages
EnglishNative speaker
Project history
Owned data security using AWS KMS and blockchain-based key management for medical records. Built an LLM-powered RAG pipeline using Claude AI on Amazon Bedrock for clinical summarization and semantic search. Optimized MySQL indexing on 5M+ records, deployed Selenium test automation on AWS ECS/ECR, and engineered a drag-and-drop patient portal for medical file uploads serving 4k+ users.
Developed an MCP server with LLM agents to automate load testing of 10K+ concurrent uploads. Tested and debugged REST APIs using Postman and improved PR cycle time by 35% by expanding test coverage and integrating AI-powered templates into the DevOps pipeline.
Built a Spring Boot Java ingestion API processing 10K+ records with 95% under 1.5 seconds as the data layer for the MLOps pipeline. Developed and evaluated machine-learning models using TensorFlow, Keras, Scikit-learn, and NumPy. Automated the MLOps lifecycle including model retraining, versioning, and deployment on Azure with Docker and GitHub Actions.