A hands-on architect who invents entire new product lines — and grooms and drives the large engineering teams that scale them — across healthcare, telecom and energy. Lately: pushing enterprise learning loops to build narrow, sovereign AI.
Currently Chief Architect and on the executive leadership team at autonomize.ai — owning the architecture and engineering practice behind its healthcare Data & AI platform.
Founder of Apariva Systems — most recently architecting GEMOS, a gigawatt-scale energy optimization platform, while consulting full-time for Greenko's CEO office. Across a decade I've built the same thing in healthcare, telecom and energy: teams and platforms that turn data and ML into products that scale.
Chief Architect and a member of the executive leadership team. Architected the company's enterprise-grade multi-agent workflow platform for healthcare, pioneered its FHIR interoperability layers, and built the Context Graph — a knowledge graph of 9M+ healthcare & biomedical concepts plus payer guidelines — that grounds the agents in clinical and coverage truth.
Architected the Greenko Energy Management & Optimization System — the central platform that schedules and dispatches a gigawatt-scale renewables-plus-storage portfolio (wind, solar, pumped hydro, BESS, hydro, thermal, green ammonia) against supply contracts and spot markets, while enforcing IEGC 2023 grid-code compliance. Built as founder of Apariva Systems, consulting full-time for Greenko's CEO office.
Founded April 2025. First engagement: consulting full-time for Greenko's CEO office to build GEMOS. Advises businesses building Data and AI products from zero to scale.
Continued from CognitiveScale after Tecnotree acquired it — same Data & AI platform charter, expanded to lead engineering, product and customer delivery end to end for a global telecom software vendor, owning both what got built and how it landed with customers.
Led Engineering, QA and (briefly) SRE for the India division of an enterprise AI platform company. My team pioneered Trusted AI for enterprises — explainability, fairness, robustness and regulatory compliance via Cortex Certifai & Fabric, deployed across AWS / Azure / GCP / OpenShift. Grew from Sr. Software Engineer → Sr. Technical Lead → Director.
Built the entire software team (frontend, backend, mobile) and helped secure $140K+ in pre-orders for a hybrid smartwatch.
Built web apps, backend services, ML models and data pipelines for manufacturing/automotive IoT analytics during a 14-month founding stint.
Bachelor of Applied Science. International Undergraduate Scholarship, Faculty of Engineering. Earlier: diagnostics engineering intern at Arista Networks.
As a hands-on individual contributor, I invent and architect entire new product lines — from a blank page to shipped product — owning the hardest technical bets myself.
I push the envelope of enterprise learning loops to build narrow, sovereign AI — domain-owned models and feedback systems that sharpen every cycle, kept in-house and under the organisation's control.
I groom, mentor and drive large engineering teams in parallel — growing engineers and ICs while staying deep in the architecture and the code.
CI/CD, security, observability and cloud-native architecture — the disciplined foundation that makes invention durable, scalable and safe.
Explainability, fairness, robustness and regulatory compliance built into models from the start — the discipline my team pioneered for enterprises at CognitiveScale.
Multi-agent platforms grounded in domain knowledge graphs — FHIR interoperability and a 9M-concept Context Graph that keep agents anchored to real-world truth.
Large-scale dispatch, scheduling and constraint optimization under hard regulatory limits — the engine behind gigawatt-scale energy systems like GEMOS.
Founding and consulting — taking products from idea to revenue and advising CXO offices on where to place their Data and AI bets.