Tushar Jadhav
@tusharjadhav1
I build production agentic AI, hybrid RAG, and low-latency LLM applications.
What I'm looking for
I've built production AI systems at Vishleshan AI Solutions, including LangGraph supervisor agents, hybrid RAG enterprise search, embedded website chatbots, and an ultra-low-latency voice agent. My systems handle 10K+ daily queries with sub-400ms retrieval latency and use grounded responses, structured outputs, guardrails, and multilingual support.
Previously at JSW GBS, I delivered document intelligence, BERT NER, RAG-powered email automation, and resume parsing for enterprise workflows. I build across Python, FastAPI, Qdrant, PostgreSQL, Redis, AWS, LangGraph, and modern LLM platforms while pursuing an M.Tech in AI & Data Science at IIT Patna.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer
Vishleshan AI Solutions
Jan 2026 - Present (8 months)
Built LangGraph Supervisor Agent orchestrating RAG and web search agents for dynamic multi-step query resolution. Designed production hybrid RAG pipeline with Qdrant and Reciprocal Rank Fusion, achieving sub-400ms latency.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology, Patna
Master of Technology, AI & Data Science
2026 -
Pursuing M.Tech in AI & Data Science as part of the Working Professional Programme.
Mumbai University
Bachelor of Engineering, Computer Science
2019 - 2023
Grade: 8.6/10
Completed Bachelor of Engineering in Computer Science with a GPA of 8.6/10.
Tech stack
Software and tools used professionally
GitHub
GitHub Actions
MySQL
PostgreSQL
MongoDB
Next.js
EasyOCR
OpenCV
Redis
JavaScript
HTML5
ES6
FastAPI
SQLAlchemy
Gemini
Vercel
Netlify
navi
GuardRails
s3-lambda
Hugging Face
Supabase
Qdrant
LangChain
ChromaDB
Auth.js
CrewAI
Cursor
Clerk
Groq
Unstructured.io
Ragas
pgvector
Agentic
Faiss
LangGraph
Claude Code
ERPNext
Sentence Transformers
Availability
Location
Authorized to work in
Job categories
Skills
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