TalentPulse360
A production multi-agent generative-AI platform for HR, built on Gemini's Agent Development Kit — compressing seven-day review cycles into thirty minutes.
I'm Rajesh — a technology leader in Pune, India. For nearly two decades I've built AI/ML platforms, tuned mission-critical databases for global banks, and led engineering teams that deliver enterprise software with craft and accountability.
These days I lead AI/ML engineering at Kanaka Software, designing production generative-AI systems on Google Cloud. Before that: Honeywell, Tieto, Tata Consultancy Services, and ACI Worldwide — a path that runs from C++ and payment databases to multi-agent AI platforms.
I'm open to architect, product, and AI engineering leadership roles. The best way to reach me is email; I'm also on LinkedIn and GitHub.
A production multi-agent generative-AI platform for HR, built on Gemini's Agent Development Kit — compressing seven-day review cycles into thirty minutes.
Retrieval-augmented generation with pgvector and fine-tuned embeddings, orchestrated with LangGraph for stateful, low-latency agent workflows.
Release management and incident response for a nationwide property-valuation platform — a 30% reduction in production downtime.
2020 — now
Lead engineering teams of up to 25 building production generative-AI systems on Google Cloud — multi-agent platforms, RAG pipelines, and the data infrastructure beneath them.
Designed and shipped TalentPulse360; run release management for Opteon; deploy AI services on Cloud Run and Cloud SQL with full CI/CD and observability.
2017 — 2020
Directed delivery of enterprise automation for Saudi Aramco, Pertamina, and KOTC — improving operational efficiency by up to 30% — and negotiated a ten-year service contract with Pertamina in Jakarta.
2016 — 2017
Managed mission-critical banking databases for Westpac and Bank of America Merrill Lynch; improved application performance by 70% through SQL optimization and halved manual DBA work with automation.
2016
Led a team of 30 DBAs administering 1,000+ production IBM DB2 instances for Morgan Stanley.
2014 — 2016
Production database engineering for Westpac and BAML in regulated financial environments; earned a company award for a 70% application performance improvement.
2008 — 2014
Built SQL and data-processing logic for high-volume payment systems serving DBS Singapore, Standard Chartered, and KBank Thailand.
2005 — 2008
Backend services and database interfaces for industrial data-acquisition systems.
AI / ML
Generative AI, multi-agent systems, RAG, prompt engineering, LangGraph & LangChain, Vertex AI, Gemini ADK
Engineering
Python, C++, FastAPI, REST APIs, application architecture, CI/CD, observability
Data
SQL, PostgreSQL, DB2, pgvector, BigQuery, Dataflow, Pub/Sub
Cloud
Google Cloud, Cloud Run, Cloud SQL, Looker Studio, AIOps
Leadership
Team & stakeholder management, product management, Six Sigma Green Belt
2018
BITS Pilani — M.Tech, Computer Science
2004
Savitribai Phule Pune University — B.Tech, Computer Science & Engineering
Whether you're scaling an AI platform, modernizing a data backbone, or looking for a leader to anchor your engineering org — I'd love to hear what you're building.
+91 83908 20380 · Pune, India