Senior Software Engineer at Bedy.AI

Designed and architected a dynamic microservices and micro-frontend infrastructure, delivering the initial MVP into production within 6 months while leading a team of 6 engineers. Built a highly scalable, performant full stack backend using Python, Flask, FastAPI, and Django, maintaining consistent P90 API latency under 500ms. Owned system infrastructure end-to-end using Kubernetes, Docker, AWS EKS, and PostgreSQL, supporting the transition of new features into production. Integrated open-source and commercial LLMs (LLaMA 3.1, GPT) into the backend application using LangChain and LangGraph to deliver AI-driven product functionality.

Senior Software Engineer at Unwind Finance

Developed a full stack application combining Python on the backend with Chart.js on the front end, delivering new features end-to-end. Designed data pipelines using Dexter and Pandas and built robust backend features using FastAPI. Improved automated test coverage by 85%, strengthening quality assurance and reducing regressions. Followed structured Agile delivery processes applying software engineering best practices and design patterns.

Tech Lead at Code Genesis

Led a team of around 8 engineers, working with cross-functional managers and stakeholders to define requirements and deliver solutions. Improved backend CI/CD pipelines with GitHub Actions and introduced automated E2E and Playwright tests. Raised overall test coverage from 35% to 85% and improved application performance by 50% through Django ORM optimisation and caching with Redis. Delivered full SDLC ownership for top clients using AWS (EC2, load balancers, Lambda, Fargate, EventBridge, CloudWatch, RDS) to build fault-tolerant systems. Conducted code reviews and mentored junior developers.

Software Engineer at Elsewhen

Developed RESTful APIs using Django REST Framework and Flask and architected the product’s PostgreSQL database. Built scalable PostgreSQL infrastructure using materialized views, indexing, and partitioning to support 100,000+ daily active users. Collaborated across cross-functional teams to deliver product features and improved pre-existing data pipelines using Python, Pandas, Celery, and Dagster.