● Upgraded an existing project to the latest Django version, improving performance, security, and compatibility with modern libraries and tools. ● Maintained and updated existing Flask and FastAPI projects to ensure stability and improve performance. ● Skilled in OOP concepts and applying SOLID principles to build clean, maintainable code. ● Optimized database interactions by enhancing SQL queries through SQLAlchemy ORM. ● Build event driven architecture using distributed message brokers such as Apache Kafka, AWS SQS/SNS, RabbitMQ and Redis Streams.

● Migrated a legacy PHP project to Python, enhancing performance, maintainability, and reducing load times by 30%. ● Built and maintained ETL processes using Airfolw and Kafka. ● Developed and maintained the CI/CD pipeline as part of the DevOps using GitHub and Docker, including automated linting and testing with unit tests and integration tests. ● Updated and maintained API documentation using OpenAPI/Swagger, ensuring clear and comprehensive guidelines for both internal and external developers interacting with the system. ● Built basic interactive user interfaces using React and Vue, focusing on creating responsive layouts and improving user experience. ● Integrated APIs with React and Vue applications, enabling real-time data display and seamless interaction with backend services. ● Experienced in Infrastructure as Code (IaC) using tools like Terraform.

● Built a Python backend application with Service-Oriented Architecture (SOA) principles, maintaining compatibility with existing Flask and Django RESTful APIs. ● Enhanced modularity, reducing maintenance issues by 15%. ● Optimized performance-critical modules using Cython, reducing runtime by 80% for key processes. ● Streamlined SQL queries with SQLAlchemy ORM, cutting database query times by 50%. ● Designed Generative AI features tailored to business needs, increasing user engagement by 20%. ● Implemented a Retrieval-Augmented Generation (RAG) model using Qdrant and OpenAI embeddings to improve content accuracy by 30%. ● Deployed serverless solutions on AWS Lambda and Azure Functions, reducing infrastructure costs by 25%. ● Partnered with DevOps to containerize and orchestrate applications via Docker and Kubernetes, and automated infrastructure provisioning with Terraform, cutting deployment time by 60%.

● Developed and maintained Python scripts for automating data collection and processing tasks, reducing data preparation time by 30% for the data analytics team. ● Created automated web scraping scripts with BeautifulSoup and Requests libraries, gathering competitor and pricing data for market analysis. ● Gained exposure to Django and assisted in building templates for frontend development, contributing to small-scale web applications. ● Assisted in optimizing SQL queries for database interactions, reducing query execution time by up to 40% for high-traffic endpoints. ● Wrote unit tests for critical components of applications to ensure code quality and reduce the likelihood of bugs in production, increasing test coverage by 20%. ● Collaborated with senior developers in a team-oriented Git environment, implementing version control best practices and resolving merge conflicts.