Shlok Chauhan
@shlokchauhan
I build fault-tolerant AI backends, LLM automation, and distributed systems in Python.
IndiaWhat I'm looking for
At AirDawg Labs, I architect fault-tolerant distributed evaluation backends and automate multi-stage LLM scoring workflows with deterministic validation.
I've built production-oriented AI systems across IBM and InternPro, including an offline ticket-triage pipeline using LangChain and BM25 retrieval, plus scalable REST API integrations for personalized career guidance.
I solo-architected CareerOS, coordinating five parallel AI agents for resume analysis and mock interviews, and DistroCache, a fault-tolerant distributed key-value store across a five-node cluster.
I'm focused on Python, LLM automation, retrieval-augmented pipelines, asynchronous execution graphs, and resilient backend deployments.
Experience
Work history, roles, and key accomplishments
AI & Backend Software Engineer
AirDawg Labs
Dec 2025 - Present (8 months)
Architected a fault-tolerant distributed evaluation backend (Project Terminus) in Python across Dockerized environments, accelerating production deployments. Automated multi-stage LLM scoring workflows (Project Marlin) via orchestrated HTTP requests and deterministic validation, reducing production defects and raising test coverage by ~40%.
Education
Degrees, certifications, and relevant coursework
Dr. A.P.J. Abdul Kalam Technical University
Bachelor of Technology, Computer Science and Engineering (AI & ML)
2022 -
Grade: 8.17/10.0 CGPA
Pursuing a Bachelor of Technology in Computer Science and Engineering with a focus on AI and ML, maintaining an overall CGPA of 8.17/10.0.
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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