Transforming academic AI research into production-ready agentic workflows.
Orchestrating stateful LLM-powered agents using LangGraph & LangChain to reduce latency by 90% and achieve enterprise-grade reliability.
AI Researcher focused on translating cutting-edge research into scalable automation
I specialize in Agentic Workflows and Multi-Agent Systems. My background combines deep AI/ML fundamentals with practical experience orchestrating stateful LLM agents using LangGraph, LangChain, and advanced prompt engineering techniques.
I translate academic research (ReAct, Chain-of-Thought, RAG) into production-ready systems. I've designed multi-agent architectures that reduced process latency by 90%, handled complex state management, and achieved zero-cost inference optimization using Google Gemini.
I'm passionate about solving problems where traditional approaches fall short. I enjoy:
Mastery in agentic AI systems, LLM orchestration, and production deployment
Production-ready agentic systems deployed at scale
A LangGraph-based autonomous triage system that processes customer emails in real-time. Multi-agent architecture handles sentiment analysis, priority scoring, CRM enrichment, and policy-compliant response drafting via RAG.
Autonomous agentic ecosystem inspired by MetaGPT for institutional-grade equity research. 7 specialized agents orchestrate real-time market analysis, earnings forecasting, portfolio risk assessment, and intelligent stock selection across 460 global securities.
Smart India Hackathon Winner. Intelligent legal assistant system that understands natural language queries and provides accurate legal information with source citations. Implements advanced NLP and RAG for contextual legal knowledge retrieval.
Building credibility through impact and excellence
College Level β AI-Powered Legal Assistant System
AI/ML Specialization β BATU/DIEMS, Aurangabad
DeepLearning.AI Certification β crewAI & Agentic AI
ML Engineering Workshop β Trained 100+ Students (DIEMS 2024)
Deployed 5+ AI Systems at Scale with Enterprise Reliability
Generative AI β Project-Driven Technical Training (2025-2026)
I'm always interested in exploring new AI research opportunities, discussing agentic workflow architecture, or collaborating on production AI systems.
Whether you're building an AI-first product, researching advanced workflows, or scaling AI systemsβlet's connect.