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DEDSEC//BROADCAST · CH.07 · LIVE FROM BENGALURU

AI Software Engineer
Python · LLMs · RAG · MCP · React

Adhrit
Verma

Builds multi-agent systems that do real work — contract review, accessibility remediation, schema retrieval for agents — and ran a regulated airline platform solo for two years.

I buildAI systemsthat doreal work.

Multi-agent pipelines. Retrieval that has to actually retrieve. MCP servers that let agents touch a real database safely — each one tested, measured, and honest about its limits.

On the record

  • 3

    Years in production

    Since Sep 2023

  • 3

    Production AI systems

    Contrast · ClauseGuard · TableFox

  • 162

    Tests across those pipelines

    72 + 23 + 67, all passing

  • −29%

    Agent token usage cut

    TableFox vs. full-schema baseline

Featured files

Loadout

Six modules, 35 tools — chosen per problem, never per trend.

AI / ML / GenAI
Large Language Models, LangChain, LangGraph, RAG, Hybrid retrieval, MCP, AI agents, Multi-agent orchestration, Prompt engineering
Languages
Python, JavaScript, TypeScript, SQL
Backend
FastAPI, Node.js, Express.js, REST APIs, RBAC
Data & Vector
PostgreSQL, MongoDB, Redis, SQLite, Local embeddings (Ollama), Schema design, Query optimization
Frontend
React.js, Next.js, HTML5, CSS
Cloud & Delivery
AWS Lambda, S3, DynamoDB, Docker, GitLab CI/CD, Git

Open a channel

Agent pipelines, retrieval that has to actually retrieve, or a platform that has quietly become three platforms — send it over. Response time beats most CI pipelines.

Establish connection

Bengaluru, India · Open to remote