3+ years of experience building and scaling production SaaS and web applications across the MERN and MEAN stacks. I work on high-throughput APIs, search systems, and AI-powered features such as RAG pipelines and LLM-based generation, collaborating end-to-end from architecture through deployment.
Currently at SeeBiz, I contribute to a B2B wholesale marketplace, an AI SaaS platform, and an AI product with RAG-based context-aware features.
- 🔧 End-to-end contribution — from data modeling to cloud deployment
- 🤖 AI feature work — LLM APIs, RAG pipelines, OpenAI integration
- ⚡ Performance-focused — Redis caching, Elasticsearch, scalable REST APIs
- 🌍 Remote collaboration with cross-functional teams
SeeBiz — B2B Wholesale Marketplace
Contributed to a supplier-buyer marketplace platform using Angular, Node.js, MongoDB, Redis, and Elasticsearch-powered search.
Angular Node.js MongoDB Redis Elasticsearch
Krub.ai — AI SaaS Platform
Helped build AI-driven community features using Next.js, Node.js, and TypeScript, with OpenAI API integration.
Next.js Node.js TypeScript OpenAI API
Turnfeat Ai — Intelligent SaaS Platform
Contributed to RAG pipeline and LLM integration work using React, Node.js, and PostgreSQL.
React Node.js PostgreSQL RAG
See Assist — Real-Time AI Call-Assist Platform (RAG)
Built real-time AI call assistance features including RAG pipeline, live speech-to-text, vector search, and multi-tenant architecture using Next.js, React, Express, PostgreSQL + pgvector, OpenAI, and Deepgram.
Next.js React TypeScript Express PostgreSQL pgvector OpenAI Deepgram Docker


