---
title: "Chahat Gupta - Artificial Intelligence Engineer in Agra | Tal"
description: "Meet Chahat Gupta, AI Engineer @ Dwell Properties | Agentic AI RAG & Backend Systems | LangGraph · FastMCP · Node.js · TypeScript | Ex-Yellow.ai (Series E) 🇮🇳 based in Agra. AI stack includes codex, cursor, and opencode."
image: "https://tal.club/meet/chahat-gupta-1/share-image"
---

# Chahat Gupta on Tal

## Headline

AI Engineer @ Dwell Properties \| Agentic AI RAG & Backend Systems \| LangGraph · FastMCP · Node\.js · TypeScript \| Ex\-Yellow\.ai \(Series E\) 🇮🇳

## About

An AI agent that demos well is easy to build\. One that works in production — routing decisions, calling tools, recovering from failures — is a systems problem\. That's the work I do\. Software Engineer at Yellow\.ai \(Series E\) — 1\.5 years building backend infrastructure and agentic AI systems inside a high\-velocity enterprise SaaS environment\. ▸ TicketOps LangGraph \+ Azure OpenAI \+ RAG \+ custom FastMCP tool server — built from scratch\. Classifies IT tickets, calls diagnostic APIs, maintains workflow state, auto\-generates structured resolutions\. Full agentic pipeline\. No prior template\. No hand\-holding\. ▸ Edith Slack automation engine\. Zero direction\. Zero template\. 12\+ workflows · 1,000\+ requests/month — approval routing, incident escalation, plan upgrades, ops automation\. Built during my internship\. Became the team's primary automation platform before I was promoted\. ▸ The Incident Google Chat down for 10,000\+ Royal Enfield enterprise users\. No docs\. Live production\. Clock running\. Built the recovery\. It held\. Beyond the headline work: → YmLogger — Pino \+ AsyncLocalStorage; resolved K8s pod\-restart log loss, enabled distributed tracing across async chains → Work Portal — REST APIs, S3 flows, auth for 500\+ daily users; AI feedback tracking 400\+ users and 300\+ monthly AI responses → GPT\-4o RCA pipeline — automated validation of external RCA reports against compliance rules before sharing; cut manual review effort → GPT\-4o semantic dedup — Slack \+ Google Sheets pipeline cutting duplicate feedback by 40% → 10\+ RESTful APIs with x\-api\-key auth, RBAC, and per\-route rate limiting Node\.js · TypeScript · Python · PostgreSQL · Redis · LangGraph · FastMCP · RAG · Azure OpenAI · LangChain · Docker · Kubernetes → Backend engineering for APIs, workflows, and internal platforms → Agentic AI pipelines — tool use, memory, routing, and guardrails → Systems that hold at 3am, not just in demos MCA · NIT Bhopal · NIMCET AIR 360 · CGPA 8\.9 Open to: Software Engineer · Backend Engineer · AI/Agentic AI Engineer Remote · Bengaluru · Gurugram · Noida · Hyderabad · Pune 📩 chahatgupta009@gmail\.com · DMs open

## Location

Agra

## AI stack

codex

cursor

opencode

## Work experience

Artificial Intelligence Engineer at Dwell Properties, Jul 2026 \- Present · 2 mos, Noida

Artificial Intelligence Engineer at Daten Technology Solutions, Jul 2026 \- Present · 2 mos, Noida

Software Engineer at Yellow\.ai, Sep 2025 \- Jul 2026 · 11 mos, ▸ Architected TicketOps — a LangGraph multi\-agent pipeline integrating Azure OpenAI, RAG with contextual memory, and a custom FastMCP tool server; enables autonomous IT ticket classification, prerequisite checking, diagnostic tool calls, and structured resolution generation at enterprise scale ▸ Built the FastMCP Tool Server from scratch — exposing 10\+ internal capabilities \(OpenSearch log analysis, voice RAG, bot config APIs\) so AI agents can safely act on enterprise systems instead of only generating text responses ▸ Led emergency incident resolution for a Google Chat outage affecting 10,000\+ Royal Enfield enterprise users — diagnosed schema compatibility failures, migrated Cards v1 to CardsV2, and restored service within one business day with zero handoff documentation ▸ Built GPT\-4o semantic deduplication pipeline \(Slack \+ Google Sheets integration\) cutting duplicate feedback by 40%; separately built GPT\-4o RCA validation pipeline auto\-verifying external RCA reports against compliance rules before team sharing ▸ Implemented YmLogger \(Pino \+ AsyncLocalStorage\) — resolved critical log\-loss on Kubernetes pod restarts and enabled reliable distributed tracing across async chains in production ▸ Designed Work Portal features for 500\+ daily users; built thumbs\-up/down AI feedback system tracking quality signals across 400\+ users and 300\+ monthly AI responses — adopted as primary feedback mechanism across all support teams ▸ Architected 10\+ RESTful APIs with x\-api\-key auth, RBAC, and per\-route rate limiting; built AWS S3 presigned URL pipeline \(generate → upload → fetch\) with versioned v2 API for third\-party consumers; reduced authenticated DB lookups by 50% via NextAuth JWT embedding

Software Engineer Intern at Yellow\.ai, Jan 2025 \- Aug 2025 · 8 mos, ▸ Proactively built Edith from scratch with no prior direction — a Slack automation engine running 12\+ enterprise workflows \(approval routing, incident escalation, plan upgrades, ops automation\); scaled to 1,000\+ requests/month and became the team's primary enterprise automation platform by end of internship ▸ Engineered end\-to\-end approval workflows using Slack API webhooks and event\-driven architecture; automated plan upgrades and subscription management, reducing manual intervention by 70% ▸ Built Slack Incident Manager with slash commands, multi\-step modals, formatted incident reports, and real\-time PostgreSQL sync — tracking 100\+ incidents across internal teams

Contributor at GirlScript Summer of Code, Oct 2024 \- Nov 2024 · 2 mos, ✔️ Made impactful contributions to open\-source projects, improving functionality and user experience\. ✔️ Collaborated with talented mentors and developers worldwide, enhancing my coding skills and knowledge\. ✔️ Worked with a diverse tech stack, including Postman, to streamline API testing and improve project efficiency\. ✔️ Gained hands\-on experience in problem\-solving, teamwork, and building scalable solutions\.

AI Software Developer at Soul AI, Jun 2024 \- Oct 2024 · 5 mos, Remote, ▸ Contributed to AI model quality evaluation and training data pipelines for LLM fine\-tuning workflows ▸ Structured and processed large\-scale datasets to improve training signal quality; applied data quality frameworks to reduce noise in annotation corpora ▸ Collaborated with cross\-functional AI teams on NLP model evaluation, conversational AI refinement, and task performance benchmarking

## Education

Master of Computer Applications \- MCA, Computer Science, Maulana Azad National Institute of Technology

Bachelor of Computer Application, Computer and Information Sciences and Support Services, Dr\. B\. R\. Ambedkar University, Agra

[View the original profile](https://tal.club/meet/chahat-gupta-1)

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Person",
      "@id": "https://tal.club/meet/chahat-gupta-1#person",
      "name": "Chahat Gupta",
      "url": "https://tal.club/meet/chahat-gupta-1",
      "image": "https://tal.club/meet/chahat-gupta-1/profile-photo.jpg",
      "description": "Meet Chahat Gupta, AI Engineer @ Dwell Properties | Agentic AI RAG & Backend Systems | LangGraph · FastMCP · Node.js · TypeScript | Ex-Yellow.ai (Series E) 🇮🇳 based in Agra. AI stack includes codex, cursor, and opencode.",
      "jobTitle": "Artificial Intelligence Engineer",
      "worksFor": {
        "@type": "Organization",
        "name": "Dwell Properties"
      },
      "hasOccupation": {
        "@type": "Occupation",
        "name": "Artificial Intelligence Engineer"
      },
      "homeLocation": {
        "@type": "Place",
        "name": "Agra"
      },
      "alumniOf": [
        {
          "@type": "EducationalOrganization",
          "name": "Maulana Azad National Institute of Technology"
        },
        {
          "@type": "EducationalOrganization",
          "name": "Dr. B. R. Ambedkar University, Agra"
        }
      ],
      "knowsAbout": [
        "codex",
        "cursor",
        "opencode"
      ],
      "mainEntityOfPage": {
        "@id": "https://tal.club/meet/chahat-gupta-1#webpage"
      }
    },
    {
      "@type": "ProfilePage",
      "@id": "https://tal.club/meet/chahat-gupta-1#webpage",
      "url": "https://tal.club/meet/chahat-gupta-1",
      "name": "Chahat Gupta on Tal",
      "description": "Meet Chahat Gupta, AI Engineer @ Dwell Properties | Agentic AI RAG & Backend Systems | LangGraph · FastMCP · Node.js · TypeScript | Ex-Yellow.ai (Series E) 🇮🇳 based in Agra. AI stack includes codex, cursor, and opencode.",
      "dateModified": "2026-08-02T00:01:12.633Z",
      "isPartOf": {
        "@id": "https://tal.club/#website"
      },
      "mainEntity": {
        "@id": "https://tal.club/meet/chahat-gupta-1#person"
      },
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "https://tal.club/meet/chahat-gupta-1/profile-photo.jpg",
        "contentUrl": "https://tal.club/meet/chahat-gupta-1/profile-photo.jpg",
        "caption": "Chahat Gupta profile photo on Tal"
      },
      "inLanguage": "en-IN"
    }
  ]
}
```