About
Backend & GenAI Engineer with 4+ years of experience building scalable backend systems and production-grade LLM applications using Python, FastAPI, Django, PostgreSQL, and AWS. Experienced in developing AI-powered recommendation systems, semantic search platforms, and intelligent APIs using Amazon Bedrock, Claude Sonnet 4, and Model Context Protocol (MCP).
Experience3
Software Engineer
Feb 2026 — PresentProgramming.com
Developed AI-powered mobile e-commerce application "Fitted4Me" with FastAPI REST APIs integrating Amazon Bedrock services for personalized product recommendations and semantic search using pgvector, enhancing user experience through advanced AI features.
Associate Software Engineer
Oct 2024 — Feb 2026Iota Analytics
Architected AI talent intelligence platform Real Legal Hire using Django and Model Context Protocol for semantic search and candidate discovery. Designed scalable web scraping pipelines and optimized backend services, improving hiring workflow performance and data relevance.
Junior Software Developer
Apr 2022 — Oct 2024Appiness Interactive
Developed backend services with Django REST Framework for healthcare platform supporting 30+ hospitals. Implemented appointment booking, payment integrations, and optimized PostgreSQL queries to enhance scalability and performance of healthcare applications under production load.
Projects3
Fitted4Me
An AI-powered mobile e-commerce application enabling users to discover and purchase fashion, footwear, beauty, skincare, haircare, and accessories through natural-language conversations. Developed production-grade FastAPI REST APIs integrating Amazon Nova Pro and Claude Sonnet 4 for intent understanding, intelligent query expansion, and personalized recommendation workflows.
- Python
- FastAPI
- PostgreSQL
- pgvector
- Amazon Bedrock
- Amazon Nova Pro
- Claude Sonnet 4
Real Legal Hire
An AI-powered talent intelligence platform enabling intelligent candidate discovery and semantic search for legal recruitment. Designed scalable web scraping pipelines collecting data from 7,000+ company websites and built AI-assisted candidate discovery workflows (Chatbot named Lexi) using Model Context Protocol (MCP).
- Python
- Django
- Django REST Framework
- PostgreSQL
- Scrapy
- Playwright
- Docker
- Model Context Protocol (MCP)
LifesOnManipal Healthcare Platform Backend
Developed backend services supporting appointment booking, healthcare packages, and hospital management for 30+ hospitals. Implemented REST APIs, payment integrations, and region-aware backend modules to handle multi-location healthcare operations.
- Python
- Django
- Django REST Framework
- PostgreSQL
Education2
Bachelor of Technology
2018 — 2021Punjab Technical University
Computer Science Engineering
Diploma
2015 — 2018Haryana State Board of Technical Education
Computer Engineering