17+ years across BFSI and FinTech, building intelligent systems that solve complex, real-world business challenges — LLM & agentic AI platforms for compliance, screening, behavioural intelligence and regulated finance.
My bet The next five years of fintech will be won by the team that makes AI auditable — not the team that makes it smarter.
I'm a Founder and Chief Technology Officer working at the intersection of artificial intelligence, scalable system architecture and enterprise software — with a strong builder mindset and deep technical curiosity.
Over the last 1.5 years I've led the ground-up build of an AI compliance & intelligence suite — AML Compliance Copilot, AI/ML Name Screening Engine, Behavioural Intelligence Platform and AI-driven KYC & EDD tooling — now used by compliance teams across financial institutions.
Alongside product, I drive adoption of AI-native development tools — Claude Code and Cursor — across engineering, architecture, design and testing.
A continuous learner at heart. Building apps and solutions for complex challenges using new technologies is genuinely my hobby — I learn by shipping, and the same loop runs every week: learn, improve, create, repeat.
The foundation: language, reasoning and explainability.
AI applied where it counts — investigation, screening, risk.
17+ years shipping production systems across BFSI.
The substrate — storage, search, streaming, scale.
AI-powered copilot for Anti-Money Laundering workflows. Enables 50+ analysts to investigate, summarize and act on alerts through natural-language interfaces — cutting average investigation time by 60%.
NLP + entity resolution matching customers against global sanctions and watchlists, architected for accuracy under noise.
AI/ML-powered behavioural analytics for BFSI — real-time detection of anomalous financial activity and risk patterns across customer transaction profiles.
AI-driven Know Your Customer and Enhanced Due Diligence tooling — automating risk scoring, document analysis and insight generation for onboarding and ongoing monitoring.
Drove full-team adoption of Claude Code and Cursor across engineering, UI/UX design and testing — accelerating delivery cycles and lifting output quality across the SDLC.
LLM-driven engine that drafts and recommends transaction-monitoring rules from typology descriptions, historical alerts and regulator guidance — with explainable backtests before deployment.
AI agent for the business team — autonomously sources qualified leads, enriches them with market context, and assembles research briefs ready for first outreach.
Local-model voice cloning for life-like support-agent personas — latency-bound and privacy-first, running on-device so caller audio never leaves the perimeter.
Retrieval-augmented chatbot grounded in a Qdrant vector store — semantic search over enterprise docs, with citation-anchored answers and reranking.
Vector-embedding-based RAG engine that turns scattered enterprise knowledge bases into a single, queryable substrate — with chunking, hybrid search and freshness controls.
A rotating set of experiments lives in the Lab — some graduate into products, most teach me what doesn’t work. Always happy to compare notes.
Get in touchFrom VB6 in Chennai (2009) → .NET payments teams across Dubai & the GCC (2011–23) → AI compliance products in Kochi (2023–present). Each step roughly doubled scope — the work moved from feature to product to platform to portfolio.
I keep a personal R&D track — active exploration of emerging AI architectures, intelligent automation and next-generation enterprise systems. The loop is unchanged: learn by shipping, then move it into the product when it earns its place.
Currently open to: CTO mandates at Series B+ fintechs scaling AI into regulated workflows, advisory engagements with banks and RegTech leadership teams adopting agents, and strategic AI reviews. The more regulated the problem, the better.