Professional Overview
Self-taught and endlessly curious, I’ve crafted a career that spans Data Engineering, AI Engineering, Product Management, and more. I’m fueled by persistence, a healthy dose of caffeine, and a few too many puns that often miss the mark. But when it comes to my work, there’s no punchline—just impactful results that truly matter. I’m also passionate about fostering a positive culture where every team member feels valued and empowered to contribute meaningfully.Throughout my journey, I’ve secured a few patents, spoken at industry conferences, and partnered with everyone from scrappy startups to Fortune 500 giants. Internally, I routinely work with product managers, sales teams, and developers, always focused on bridging the gap between business needs and technical execution. Some say I’m a bit of a Renaissance man, minus the painting skills and the fancy hats.
Areas of Expertise
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
