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- π I'm a Software Developer passionate about building scalable backend systems and AI-powered platforms.
- β‘ I focus on developing clean, efficient code for distributed systems and AI ecosystems.
- π Pursuing M.Tech in Software Engineering at BITS Pilani.
- π€ I'm highly interested in System Design, Microservices, LLMs, and Open Source.
Languages: Java, Python
Frameworks: Spring Boot, Flask, Django
AI/ML: RAG, LLMs, Vector Search, Prompt Engineering, LangGraph, OpenTelemetry
Architecture/Design: System Design, Microservices, REST APIs, Distributed Systems, Event-Driven
Tools/DBs: Kubernetes, MongoDB, Maven, Git, Splunk, Prometheus
- AI-Dev-Kit - End-to-end AI developer pipeline orchestrating multi-agent workflows using LangGraph and MCP.
- RefugeeConnect AI - Multimodal AI platform using Google Gemini for displaced people, providing real-time advocacy.
- Pothole & Speed-Bump Detection - Deep learning system using YOLO architectures for road hazard detection (Published in Springer Nature).
- Adaptive Prompt Engineering - Chatbot combining sentiment analysis with GPT to adapt dynamic prompts.
- DevPilot - Developer assistant simplifying production-like debugging and reducing overhead.
- Real-Time Road Hazard Classification Using Object Detection with Deep Learning (Springer Nature)
- Crop Recommendation and Yield Prediction Using Ensemble Machine Learning Technique (IEEE DELCON 2025)
