Niresh Shankar
@nireshshankar
I build secure, production-ready multi-agent AI systems with rigorous evaluation.
IndiaWhat I'm looking for
I build autonomous AI systems that hold up beyond the demo stage. My work includes Plug & Play Reviewer, a GitHub App code-review agent with a hosted/local security boundary and an evaluation harness for precision, recall, false findings, and cost.
At YeahScene, I built FoodSpector's production LLM call layer with multi-provider fallback, rate limiting, caching, async job queues, tenant model tiering, and token-level cost tracking. Previously at TATA ELXSI, I developed MERN and Redis applications, led bug resolution and code reviews, and mentored junior engineers.
Experience
Work history, roles, and key accomplishments
Founding Engineer
YeahScene
Sep 2024 - Present (2 years)
Built the production LLM call layer with multi-provider fallback, retry with backoff, rate limiting, and response caching. Ran every AI call off the request path via an async job queue with per-tenant model tiering and token-level cost tracking.
Developed and maintained the Employee Status & History Portal using the MERN stack with Redis, and led bug resolution and code reviews. Mentored junior engineers on the team.
Education
Degrees, certifications, and relevant coursework
Saranathan College of Engineering
Bachelor of Engineering, Electrical and Electronics Engineering
2017 - 2021
Pursued a Bachelor of Engineering in Electrical and Electronics Engineering from 2017 to 2021.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Website
niresh.inSalary expectations
Job categories
Skills
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