Sunil AI Lab

About

AI-First Software Engineer.

Building knowledge graphs, GraphRAG systems, agent architectures, developer tooling, and intelligent software systems at the intersection of AI and engineering practice.

Sunil CJAI-First Software EngineerInfosysChennai, India

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01 · Who I Am

Engineer, not evangelist.

I'm a software engineer focused on the intersection of AI and software systems. My work spans knowledge graphs, GraphRAG retrieval, multi-agent architectures, and developer tooling — the layer between raw data and the reasoning an engineer can trust.

I build production systems, not demos. Each project in the Lab starts with a research hypothesis, graduates to a working prototype, and ships when the architecture earns the right to be used by other engineers.

02 · Current Focus

Five areas of investment.

  • Knowledge Graphs

    Connected representations of software systems — services, APIs, databases, teams, decisions — that capture both structure and intent.

  • GraphRAG

    Retrieval that combines semantic similarity with structural traversal. The layer where most agent systems either earn their answers or fail silently.

  • Agent Systems

    Coordinated agents for engineering workflows — code navigation, architecture reasoning, documentation discovery, PR review — that share retrieval but specialize in reasoning.

  • Developer Tooling

    Surfaces, interfaces, and APIs that put architectural context in front of engineers at the moment they need it.

  • Intelligent Architectures

    End-to-end pipelines from raw data (source code, documentation, telemetry) to grounded, inspectable answers.

03 · Engineering Philosophy

Principles I work by.

04 · Technology Stack

Tools in active rotation.

Languages
TypeScriptPythonC#
AI / ML
ClaudeGraphRAGEmbeddingsMulti-Agent orchestration
Data
PostgreSQLpgvectorNeo4j
Frameworks
Next.js.NETFastAPI
Tooling
GitDockerComfyUIFFmpegElevenLabs

05 · Career Timeline

The path that led here.

  1. 2026

    Architecture-first AI engineering

    Designing and shipping Repo Intelligence Platform. Architecting Unified Knowledge Graph and Multi-Agent PR Review System.

  2. 2025

    AI engineering transition

    Moved focus to AI engineering. Built and shipped the AI Video Factory pipeline end-to-end — script generation, voice synthesis, video assembly, publishing.

  3. Earlier

    Software engineering foundation

    Backend systems, infrastructure, and developer tooling. The path that made the AI work possible — production discipline, observability, and the habit of shipping.