AI Engineer • Agentic Systems • Realtime GenAI • DevOps
FastAPI | Agno | PyTorch | FFmpeg
"Building intelligent systems that scale, not just scripts that run."
CS Student @ KIIT (9.59 CGPA) | 5+ Years Java | Specializing in Agentic AI, RAG, and MCP. I design deterministic, multi-agent systems tailored for open science and complex data-driven research.
- Current Focus: Agentic Orchestration, Distributed AI Systems, and Model Context Protocol (MCP).
- Goal: Contributing to high-impact Open Source projects for GSoC '26 with a focus on Genomics Standards (GA4GH), Scientific Data Infrastructure (EMBL-EBI), and Developer Productivity (Jenkins).
- Core Competency: Python Performance Optimization, Enterprise Java Architecture, and Deterministic RAG Pipelines.
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AI & Agentic Systems |
Backend & Enterprise |
Languages & Core |
Autonomous Multi-Agent Market Research System
A sophisticated Tri-Agent Architecture focused on deterministic data retrieval and cross-verified research.
- Design Pattern: Hierarchical Agent Teams (Librarian -> Quant -> Journalist).
- Logic: Uses a RAG-based Librarian for semantic search, a Quant for numerical validation, and a Journalist for grounded synthesis to eliminate hallucinations.
- Stack: LangGraph, Python 3.11+, Yahoo Finance API, FAISS.
Structured Data Extraction & Deployment Pipeline
An enterprise-grade system that performs high-fidelity metadata extraction from resume data to orchestrate a generative pipeline for interactive websites.
- Architecture: Microservices (FastAPI) + Event-Driven Generation.
- Tech: Groq (LLM Inference), PostgreSQL (State Management), Next.js (SSR Frontend).
Temporal Consistency Research in Computer Vision
An AI-powered translation system using computer vision to recognize hand gestures in real time. Focused on improving accessibility through a gesture recognition pipeline that converts temporal sign sequences into readable text.
"I don't just write code; I design systems."