Building intelligent software using AI, event-driven architectures, and scalable backend systems.
🎓 Information Technology undergraduate
🤖 Passionate about AI Systems, Backend Engineering and Distributed Architectures
⚡ Currently building production-style applications using FastAPI, Kafka, Docker and LLMs
🧠 Exploring
- Multi-Agent Systems
- Machine Learning
- Computer Vision
- System Design
- Retrieval-Augmented Generation (RAG)
🎯 Goal
Become an AI/Backend Software Engineer building products used by millions.
Distributed AI agent system built using FastAPI, Kafka, and Docker, where multiple specialized agents communicate asynchronously through an event-driven architecture.
Highlights
- Kafka Event Bus
- Microservices
- Multi-Agent Communication
- REST APIs
🛡️ FundTrace AI
AI-powered banking fraud detection platform combining Machine Learning, Graph Analytics, OCR and Explainable AI.
Highlights
- Fraud Detection
- Graph Analysis
- OCR Pipeline
- Explainable AI
🎙️ AwaazSetu
Voice-first AI assistant powered by Retrieval-Augmented Generation for multilingual knowledge retrieval.
Highlights
- RAG
- Vector Database
- Speech Recognition
- LLM Integration
KYC verification pipeline using InsightFace and MediaPipe.
Highlights
- Face Recognition
- Liveness Detection
- Duplicate Identity Detection
- Distributed Systems
- AI Agents
- LLM Orchestration
- Machine Learning
- System Design
- ✅ 200+ DSA Problems
- 🚀 Open Source Contributions
- 🤖 Build Production AI Systems
- 💼 Secure an AI/Backend Internship
- 📚 Learn Advanced Machine Learning
"Building software that solves real-world problems with AI."