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Arijeet ChakravartyAC
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Arijeet Chakravarty

@arijeetchakravarty

Applied-AI architect building reliable LLM agents with evals, cost control, and production discipline.

India
Message

What I'm looking for

I’m looking to build and ship reliable applied-AI/agent systems in production—backed by evals, deterministic-first workflows, and cost/latency guardrails—either as a senior IC or in engineering leadership (Director/Head/fractional) that values trust and reliability.

I’m an engineering leader and hands-on builder with 18 years across fintech, insurance, and regulated SaaS, equally comfortable owning an engineering org or shipping production AI myself. I treat production AI as a workflow, reliability, and trust problem—not just a model problem—and I’m happiest when I can replace brittle extraction with deterministic-first agent behavior.

Right now I solo-ship a GPT-5.1 document-intelligence agent that replaced regex with LLM matching and a “verify, don’t extract” loop: the model judges each finding and confirms or flags it with a reason. I back this with regression and determinism suites, per-call cost tracking, and robust-vs-fast trade-offs to meet real gateway limits. Before consulting, I led engineering at an insurtech—scaling the team 10 → 20+ and lifting delivery predictability 35%—while driving practical production discipline like caching, async fallbacks, and token-cost guardrails. I build my own tooling (commit orchestration, pre-commit hooks, internal CLIs) so agentic coding and quality controls match how the work actually runs.

Experience

Work history, roles, and key accomplishments

IC
Current

Applied-AI Architect

Independent Consultant

Jan 2026 - Present (6 months)

Built a production GPT-5.1 document-intelligence agent for regulated pharma (eCTD) submissions, replacing regex matching with LLM semantic verification. Engineered a “verify, don’t extract” self-check loop with regression evals and per-call cost tracking, and shipped end-to-end integrations (Salesforce, webhooks, auth) on Python/FastAPI and AWS within a 60s gateway limit.

RI

Engineering Lead (Applied AI)

Renegade Insurance

Nov 2021 - Dec 2025 (4 years 1 month)

Led production document-intelligence and VOIP-to-insight pipelines for non-technical users, cutting manual effort by 60%. Scaled engineering from 10 to 20+ and improved delivery predictability by 35%, while migrating EKS to ECS/Fargate to cut monthly AWS spend 77% (~$14K to ~$3.2K).

Education

Degrees, certifications, and relevant coursework

UU

Uttar Pradesh Technical University

B.Tech, Computer Science & Engineering

Earned a B.Tech in Computer Science & Engineering from Uttar Pradesh Technical University, completed in 2007.

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