Priyank

Agrawal

AI Engineer · Production LLM Agents & Backend Systems

I ship production agents. And keep them honest.

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email
codeLangGraph
codeAWS Bedrock
codeLangChain
codePython
codeNode.js
codeMongoDB
codeLangGraph
codeAWS Bedrock
codeLangChain
codePython
codeNode.js
codeMongoDB
41%
of commits on a 240K-LOC ESG platform — largest of 8 contributors
100%
of KarbonIQ — 130 of 130 commits, sole author end to end
3s → under 1s
ESG dashboard query time, after a write-time rewrite of the read path
21
typed tools in a single production agent, scoped per user role

CURRENTLY AT

Planet Sustech

PREVIOUSLY AT

Antino Labs
auto_awesomeFeatured Work

Selected Projects

Building production AI systems with multi-agent workflows, RAG pipelines, and full-stack applications.

psychology
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NextRole

7-agent AI system for job search automation with intelligent CV parsing, job matching, cover letter generation, and mock interview prep. Built with FastAPI, LangGraph, LangChain, OpenAI GPT-4o, and Next.js. Deployed on AWS Lambda + Amplify.

PythonFastAPILangGraph+5
psychology
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YojanaKhoj

AI-powered government benefits discovery platform for India. A conversational quiz matches user profiles against 101 central and state schemes across 14 states using three-valued rule logic (true / false / cannot-evaluate), then the LLM explains each verdict — it never decides eligibility. UI in 10 languages, scheme content in Hindi and English. WhatsApp bot built, pending BSP approval.

Next.js 14Node.jsMongoDB+4
psychology
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AI Job Finder Agent

Intelligent job search automation that sweeps 35 configured career boards (Greenhouse, Lever and Ashby pages) plus the major aggregators daily, scores each listing against your resume using a Claude → Gemini → OpenAI fallback chain, and delivers the best matches to your email and WhatsApp. Features smart deduplication via MongoDB and LinkedIn HR email extraction for cold outreach.

Node.jsClaude APIGemini+4
psychology
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ESG Agent

An ESG agent that queries company sustainability data, builds dashboards on the fly, produces Excel and PDF exports, and covers framework reporting. Deliberately single-agent rather than multi-agent: 21 typed tools bound per request against the caller's role, with every figure derived server-side so the model routes and explains but never computes a regulated number. Cuts manual ESG analysis time by roughly 70%.

AWS BedrockLangGraphLangChain+3
code
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Making a slow ESG dashboard load instantly

A dashboard query took over three seconds. It now returns in under one. I rewrote the read path to denormalise at write time, moving unit conversion and date bucketing to write time — removing 22 join and expansion stages (14 $lookup, 8 $unwind) and cutting documents scanned per query 12×, from ~38K to ~3.2K — added the compound indexes the queries actually needed, and made the backfill resumable so it could be re-run against production safely.

MongoDBNode.jsAggregation Pipelines+2
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Connect With Me

Find me on these platforms. Always happy to connect with fellow engineers, discuss AI/ML topics, or explore collaboration opportunities.

Looking for my next AI engineering challenge

I bring production LLM agent experience — tool design, role-scoped authorisation, and grounding figures so a model cannot invent one — plus the backend engineering to make it fast. Let's talk about how I can help your team ship agents that hold up.

Get in TouchView Resume