For 18+ years, I’ve engineered software. For the last 9, I’ve lived in the trenches of ML, MLOps, and GenAI—not for academic credit, but for business impact. My work begins where the flashy demo ends.
I’ve seen too many AI projects fail because they were built for a conference, not a customer. My focus is on the gritty, complex work that turns a prototype into a profitable, scalable product. This blog is my collection of **battle-tested blueprints** from the field. No hype. Just what works.
Work experience
Oct 2024 – Present
Architected and led the company-wide adoption of the AWS SageMaker ecosystem. Owned the full lifecycle of key GenAI products, including the enterprise chatbot and the central LLM evaluation framework.
Sept 2023 – Nov 2024
Led the end-to-end development of a no-code AI platform, cutting model deployment time from 12+ months to under 3. My hands-on work resulted in an 8x reduction in development costs for clients.
Apr 2022 – Oct 2023
Designed and implemented AI-powered marketing automation solutions for enterprise clients, translating complex business needs into scalable architectures that drove customer engagement.
Sept 2020 – Mar 2022
Built the company’s AI practice from the ground up. Defined the entire AI service offering, architected client solutions, and led the delivery teams, establishing a successful new business unit.
Dec 2018 – Aug 2020
Nov 2017 – Feb 2020
2008 – 2017
Developed my software architecture and ML skills. Started from core software engineering in 2008 and moved to AI in 2017.
