Arinjoy Banerjee
@arinjoybanerjee
Full-stack engineer building production-grade agentic AI systems with Python and React/Next.js.
IndiaWhat I'm looking for
I’m a full-stack engineer with 4+ years building production-grade AI applications on Large Language Models, focusing on agentic workflows with function calling, tool orchestration, and multi-step reasoning. I design autonomous agents that reason, retrieve, and execute enterprise tasks through REST APIs.
At HERE Technologies, I shipped end-to-end AI and product features—prompt engineering to system-prompt design, retrieval (RAG/embeddings), and LLM API integrations. I built agentic AI workflows orchestrating MCP servers (Jira, Design Systems, GitLab) and improved developer efficiency by 30%.
Performance and delivery are part of my day-to-day: I built real-time AI interaction UIs (React + TypeScript) with WebSocket→HTTP streaming and cut latency by ~90%. I also used CI/CD (GitLab), Nx monorepos, and Cypress to reduce pipeline runtime by 50%, while leveraging AI dev tools like Copilot, Cursor, and Claude Code.
I’ve also owned user-facing product surfaces—React/TypeScript dashboards and SDK/CLI pages—improving discoverability and lifting account upgrade rates by 25%. Earlier, I contributed enterprise API integrations and usability improvements (customer-reported usability issues down 75%), and I accelerated incident troubleshooting by 100% via a Splunk logger-proxy PoC.
Experience
Work history, roles, and key accomplishments
Built production-grade LLM applications with multistage pipelines (LangChain, Langfuse) and LLM API integrations, driving an 8% increase in platform revenue. Designed agentic workflows orchestrating MCP servers via function calling and tool orchestration, improving developer efficiency by 30%, and shipped real-time AI UIs with WebSocket-to-HTTP streaming that reduced latency by 90%.
Owned React/TypeScript product pages and usage-alert dashboards for SDK/CLI products, improving discoverability and increasing account upgrade rates by 25%. Modernized legacy frontends to a TypeScript component architecture and built a logger-proxy to route client errors to Splunk, accelerating incident troubleshooting by 100%.
Implemented a Node.js events module exposing REST endpoints that integrated registration and order workflows for enterprise use. Built React notification and support components, reducing customer-reported usability issues by 75%.
Front End Developer Intern
Bitpastel
Jun 2021 - Nov 2021 (5 months)
Designed and implemented the brand website frontend using a modern component framework, growing the customer base by 15%. Developed an automated test framework for the existing codebase, increasing testing efficiency by 50%.
Education
Degrees, certifications, and relevant coursework
Bennett University
Bachelor of Technology, Computer Science and Engineering
Grade: 8.9 / 10
B.Tech in Computer Science and Engineering from Bennett University, completed May 2023 (GPA 8.9/10).
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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