After leading engineering for GreenFi and Lejit AI, I started WebsiNova Technologies to bring the same architecture, RAG and AI systems, and full-stack experience directly to clients, from initial scoping and estimation through to delivery.

I started as a Python developer on GreenFi, grew into a full-stack role, and became Tech Lead managing both GreenFi and Lejit AI for the same founder. I took over both codebases after the previous vendor left with no knowledge transfer, reverse-engineered the systems, and onboarded the team without missing client deadlines. On GreenFi, I maintained and extended a multi-module ESG platform covering carbon emission tracking, ESG ratings, sustainability reporting, media monitoring, and regulatory compliance, and built the RAG pipeline for ESG document Q&A using LLMs and Milvus, served through FastAPI, across a serverless AWS Lambda and EC2 backend with an Express 5 API and MySQL. On Lejit AI, I architected a legal tech SaaS from scratch with separate flows for lawyers, citizens, corporates, law students, and law enforcement, built RAG-based legal AI features for document Q&A, drafting, case comparison, and legal opinions, designed a multi-tenant law enforcement module with department hierarchy and role-based access, and integrated Razorpay payments, Twilio OTP authentication, and i18n support for 16 languages.

As a ML Engineer Intern, I had the invaluable opportunity to make a significant impact by revamping and enhancing more than three ML models using Tensorflow, showcasing my expertise in the field of machine learning and AI. I played a pivotal role in the development process by deploying these models, enabling seamless integration with other models, thereby enhancing the overall functionality of these models.

During my tenure as a Backend Developer Intern, I had the privilege of spearheading the development of the company's CRM website and various portals. I had developed backend logic for a CRM system using Django. I have also designed and implemented data models, database schemas, and handled URL routes, ensuring robust backend infrastructure.