---
title: "Shreyas Pandey - AI Engineer Intern in Greater Delhi Area | Tal"
description: "Meet Shreyas Pandey, Building AI x Growth Systems · LLM agents, RAG & Applied AI · GTM based in Greater Delhi Area. AI stack includes antigravity, codex, and claudecode. Explore public work links including github."
image: "https://tal.club/meet/shreyas-pandey/share-image"
---

# Shreyas Pandey on Tal

## Headline

Building AI x Growth Systems · LLM agents, RAG & Applied AI · GTM

## About

I'm 21\. Shipped production AI at 4 early\-stage startups as the sole engineer\. Not "contributed to" \- shipped\. Last year I shipped agentic platforms, RAG pipelines, custom MCP servers, multi\-agent systems at scale\. Real products\. Real on\-call moments\. All solo\. I build with Claude Code like a co\-founder \- and I write about it publicly\. 1,200 technical followers on X and growing\. Best engineers understand distribution, not just architecture\. Working on both\. Stack: LangGraph, LangChain, PostgreSQL, FastAPI, PyTorch, AWS, Pinecone\. Looking for founding engineer, AI engineer, devrel, or GTM roles where decisions actually ship\. 🔗 shreyaspandey\.me

## Location

Greater Delhi Area

## AI stack

antigravity

codex

claudecode

## Work experience

AI Engineer Intern at Cellyn, Feb 2026 \- Apr 2026 · 3 mos, Remote, Sole engineer\. Built a full enterprise AI platform from zero to production\. • Shipped an agentic Excel add\-in with LLM tool\-calling \- analysts can query, model, and reason over live financial data in natural language • Built a multi\-tenant secure Data Room: encrypted document storage, room\-based RBAC, audit logging, real\-time notifications, and AI\-powered Q&A on top • Implemented context\-aware memory management, sandboxed code execution, automated PPT generation, and web search integration • Owned all cloud infra on Scaleway \- CI/CD, deployment workflows, automated testing, production releases Stack: LangGraph · FastAPI · PostgreSQL · Docker · Scaleway · GitHub Actions

AI Engineer Intern at Fills Ai, Nov 2025 \- Feb 2026 · 4 mos, Remote, Shipped 4 production systems in 3 months\. • Built a semantic RAG pipeline over 30M\+ PubMed papers \- 92% citation accuracy in scientific contexts\. Most teams don't get past 70% • Engineered a real\-time collaborative scientific editor \(Docs meets AI co\-author\) \- LangChain \+ Gemini \+ Tiptap \+ Y\.js with automated version control and cloud sync • Built custom MCP servers for agentic orchestration across separately hosted services • Developed a multi\-agent pipeline for end\-to\-end research automation: literature search, synthesis, and citation\-accurate writing Stack: LangChain · Gemini · PGVector · AWS · React\.js · Next\.js

AI Engineer Intern at Stealth AI Startup, Sep 2025 \- Nov 2025 · 3 mos, Remote, Sole AI engineer\. Owned the full stack on a real\-time voice AI support system \- from model integration to production deployment\. • Built the end\-to\-end STT → LLM → TTS pipeline for real\-time conversational AI in customer support • Pushed system latency down to 36ms through parallel audio buffering and pipeline optimization \(for reference: human reaction time is \~250ms\) • Owned all inference infrastructure and DevOps on Scaleway \- model serving, real\-time audio streaming, scalable deployment • Implemented async processing and parallel audio buffering to handle concurrent voice sessions without degradation Stack: Python · Scaleway · STT/TTS APIs · FastAPI · Docker

AI Engineer Intern at 21 Spheres, Apr 2025 \- Sep 2025 · 6 mos, Remote, First real taste of production agentic AI \- built multi\-agent systems across 5 client deployments\. • Built 5 multi\-agent ReAct systems handling 1,000\+ daily queries with 88% autonomous resolution rate \- meaning the agent figured it out without human fallback 9 in 10 times • Architected a multi\-agent ReAct framework for autonomous task completion, cutting client processing time by 60% • Led a 3\-person engineering team end\-to\-end \- architecture decisions, code reviews, delivery timelines • Designed agent memory, tool\-use, and fallback logic for edge cases that would otherwise require human intervention Stack: LangChain · LangGraph · FastAPI · PostgreSQL

## Education

Bachelor of Technology, Computer Science, kiet group of institutions

Bachelor of Science, Data Science and Applications, Indian Institute of Technology, Madras

## Public links

- github: https://github\.com/Shreyas\-prog108

[View the original profile](https://tal.club/meet/shreyas-pandey)

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