Senior AI engineer in Pune. I build agents that do real work, and write down how they break.

In my own time I build open-source tools for agents and infrastructure: a shell that asks before it runs anything, backups you can trust, and cleaner input for AI decisions. By day I ship production GenAI at Equations Work.

Lately, from the commit log. It's in Pune.
  1. jevbrief docs: point documentation links to parthkomalwad.dev/projects/jevbrief
  2. Archon docs: point documentation links to parthkomalwad.dev/projects/archon
  3. VeritasChain docs: point documentation links to parthkomalwad.dev/projects/veritaschain
  4. Sable docs: point documentation links to parthkomalwad.dev/projects/sable
  5. Sable release: 1.0.0 (#109)
  6. Sable test: Phase 9 gate run, all seven lines pass; v1.0 complete (#108)

What I build

Writing

All writing

Day job

2025

Twelve agents that write workflows

One of India’s largest dealer management networks

Workflow creation went from 4 to 8 hours down to 2 minutes, and error rates from 30 to 40% down to under 10%.

2025

Defect analytics that refuses plausible wrong answers

A global electronics manufacturer

Found a hidden join fan-out that inflated every test event 3.5x, rebuilt the grain, and compressed 1.53M rows to 145K with no loss of detail.

2025

NL2SQL across a six-tier dealer hierarchy

The same dealer management network

Natural-language analytics over 65,000+ job cards per dealer per month, with row-level security at every tier.

How these were built, and four more client projects

Experience

  1. 2025 to now
    Senior Software Engineer, Equations Work, Pune
  2. 2023 to 2025
    Software Engineer, Equations Work, Pune
  3. 2023
    Internship Trainee, Maxima Consulting
  4. 2019 to 2023
    BE in Computer Engineering, Genba Sopanrao Moze College of Engineering. Led competitive programming at the CodeChef chapter.

Certified in Model Context Protocol, introduction and advanced topics, by Anthropic (August 2025), and a Neo4j Certified Professional. Second of 30+ developers at the Metron Security Code Jam (January 2025), building an Elastic ML security dashboard in six hours.

Agents and LLMs
Multi-agent orchestration, RAG, GraphRAG, NL2SQL, MCP, Llama 3 fine-tuning, LangChain
Data
Postgres, pgvector, DuckDB, Neo4j, Parquet, medallion and semantic layers
Cloud
Azure AI Foundry, Microsoft Fabric, OneLake, Azure Functions, AWS, Docker
Code
Python, FastAPI, TypeScript, React 19, WebAssembly

Say hello

The fastest way to reach me is pkomalwad@gmail.com. I usually reply within a day.