LLM Systems and Agentic Pipelines Consultant
Hybrid RAG and agentic risk monitoring for banking and proprietary trading clients, with production grade natural language interfaces over financial account data.
Fractional CTO and technical advisory for founders who need depth, not dashboards.
Four domains, with depth in each. Engagements are scoped against real production outcomes.
Vector search combined with knowledge graphs, agentic monitoring across long-running events, and natural language interfaces over financial data.
Ultra low latency platforms with NSE black-box certification, user-space networking, and infrastructure that goes beyond vendor stacks.
Production systems on Cloudflare Workers, AWS multi-region, and UPI rails, designed for high availability without server fleets.
StyleGAN based personalization, browser-native attention detection, and end-to-end ML lifecycle from data collection to deployment.
Commit log of the five most relevant engagements. Dates, scope, outcomes. Pulled from the record.
Hybrid RAG and agentic risk monitoring for banking and proprietary trading clients, with production grade natural language interfaces over financial account data.
Technology strategy and engineering delivery across enterprise engagements, including a payment orchestration platform on UPI rails and a Cloudflare based serverless stack.
Proprietary HFT platform with kernel bypass networking, NSE black-box certified deployment, and statistical arbitrage strategies running on a 100 trader desk.
Six region AWS video conferencing platform for a cross-border edtech, with browser-native AI inference for student attention detection and on-device processing for privacy.
Real time image personalization platform built on custom trained StyleGAN architectures, delivered end-to-end from data and training to production deployment.
No logo soup. The actual languages, frameworks, and primitives behind the work above.
Founder and CTO with 17 years building production systems across quantitative finance, computer vision, distributed infrastructure, and real-time platforms.
Deep expertise in training neural networks, low-latency systems, and production AI across regulated and high-availability environments. Track record of leading engineering delivery, building teams, and driving cross-functional execution across product, compliance, and business stakeholders.
Dual degree, B.Tech and M.Tech, IIT Delhi, 2008. Research at UCLA in 2006. Alchemist Accelerator Cohort XX in 2019. Operating from Bengaluru, India.