Technology leader, enterprise AI architect — building production systems that hold up under real load, not just demos.
Head of Technology, Anvesa · Board contributor · 13 yrs in practice
Plate № I
Ashok at the practice — Hyderabad, India. Photographed in the architect’s study, 2025.
Most people talk about AI. I build it — and then I run it in production for enterprise clients across the US, India, and Australia.
Over the past 13 years, I've gone from writing my first lines of .NET code at Cognizant to leading the full technology function at Anvesa — an AI-native, Azure-powered eDiscovery platform serving 15+ enterprise clients globally.
That journey wasn't linear. It was a decade of making hard architectural decisions, rebuilding systems under pressure, learning to lead cross-functional teams, and figuring out what it actually takes to ship intelligent products that work — not in demos, but in production.
On the AI side — I'm not experimenting. I'm building Agentic AI systems, RAG architectures, and LLM-powered workflows that are live, used daily, and delivering measurable outcomes for real businesses.
What drives me is the intersection of deep technical craft and real business impact. I care about unit economics, system reliability, and building things that last — not just what's trending.
AI · LLM · Reasoning systems
Cloud · Containers · IaC
Stack · Product · Leadership
Independent Entity · Hyderabad
Head of Technology
Leading AI innovation and enterprise product strategy for 15+ clients across the US, India, and Australia. Designing RAG pipelines, Agentic AI systems, and cloud-native architectures on Azure AKS that run in production daily.
→ Happiest Minds (acquisition)
Senior Software Engineer → Head of Technology
Joined as founding engineer on what became Anvesa. Built the platform from scratch across the full stack. Grew into leading the entire engineering function — architecture, R&D, QA, and production support. Led platform through the Aureus → Happiest Minds acquisition.
American Express · Global Decision Engine
Programmer Analyst → Associate
Started career as Batch Topper at Cognizant's Learning Academy. Worked on the American Express Global Decision Engine — led Mainframe-to-.NET migration delivering change requests across US, EMEA, APAC and other global markets. Awarded for delivery quality.
Enterprise AI Platform · eDiscovery
Built from zero to production over seven years. Now serves fifteen enterprise clients across three continents, processing millions of documents daily.
Architected AKS-based distributed systems, RAG pipelines, and Agentic AI workflows. Led every layer — from the cloud infrastructure that holds it up, to the product strategy that decides where it’s going next.
Available for select consulting and advisory engagements globally. Scope and rate are negotiated per engagement — let’s talk first.
Architecture & Build
Design and build production-grade RAG pipelines, Agentic AI workflows, and LLM-powered enterprise applications on Azure. From architecture to deployment — the whole stack, hand-led.
Audit & Improvement
Audit, optimize, and scale existing AI infrastructure. Performance bottlenecks. Cost overruns. Reliability gaps. Brought from "works in demo" to "holds up under enterprise load."
Advisory
For CTOs and engineering leaders adopting enterprise AI — architecture reviews, team guidance, and roadmap planning. Pragmatic, board-aware, grounded in production reality.
Real lessons from building enterprise AI systems — not theory.
Open to consulting, advisory, and strategic conversations globally.
