
Abhishek Srivastava
@abhisheksrivastava10
I build production LLM, RAG, and multi-agent systems at scale.
What I'm looking for
I've built production LLM, RAG, and multi-agent systems for Arivihan Technologies, serving 120K+ students monthly. I replaced manual doubt resolution with a six-agent tutoring system that reduced human escalations from 18% to 6%.
I design retrieval, evaluation, deployment, and monitoring end to end. At Arivihan, I built memory and serving systems with FastAPI, Redis, DynamoDB, and SQS that sustained 1.2K requests per second at p99 850ms.
Previously at InfraDock AI and UnifyApps, I built document-ingestion, Graph RAG, and enterprise search systems across PDFs, Excel files, images, and 20+ connectors. My work improved retrieval accuracy, reduced query latency, and made over 100K enterprise documents searchable.
I'm also interested in reliable agentic workflows, having built a LangGraph question generator with a 96% valid-plan rate and deployed vision-based terrain navigation for a Unitree Go2 at IIT Kanpur.
Experience
Work history, roles, and key accomplishments
Junior Machine Learning Engineer
Arivihan Technologies Pvt. Ltd.
Mar 2026 - Sep 2026 (6 months)
Built a six-agent LLM tutoring system on hybrid RAG with 30+ tools, reducing human escalations from 18% to 6% for 120K+ monthly students. Architected AI serving layer on FastAPI, Redis, DynamoDB, and SQS, sustaining 1.2K req/s at p99 850ms.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Kanpur
Bachelor of Technology, Mechanical Engineering
2022 -
Activities and societies: Minor in Machine Learning & Applications; Coursework: Machine Learning, Statistical Natural Language Processing, Data Structures & Algorithms, Probability & Statistics
Pursuing a B.Tech in Mechanical Engineering with a minor in Machine Learning and Applications. Achieved AIR 2889 in JEE Advanced 2022 among 1.02M candidates and AIR 122 in NEST 2022.
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