• Building reusable automation systems with fastAPI,express.js and docker, developing user-friendly websites using Next.js, automating desktop applications and integrating with existing system architectures.

Responsible for developing various backend systems with a strong focus on web scraping and automation using Python.Worked extensively with technologies such as Next.js,Puppeteer,Selenium, FastAPI, PostgreSQL, and Docker.

Developed a distributed facial recognition and activity tracking attendance system.The system leverages Apache Kafka to stream video from multiple CCTV cameras, processes the data through a TensorFlow model, retrieves user information from SQLite

Initiated continuous improvement and efficiency gains by automating the filtering and processing of 75,000 business records, eliminating hours of manual work. The Business Directory API, built using FastAPI, Uvicorn, and JWT, resulted in improved data accuracy and company performance.

Contributed to building high-performance backend services for data annotation pipelines, focusing on optimizing database queries and API endpoints to efficiently handle large-scale data. Worked as a Backend Engineer using FastAPI, Django, and Flask, and developed NLP applications with Python and Julia. Gained experience in distributed systems and cloud environments.