Hi, I'm Hooman ππ», and I help teams turn their data ambitions into real results, building machine learning systems and AI agents that enable confident decisions, automate workflows, and create meaningful business impact ππ
I focus on practical, customer-centric solutions that are validated with data and built to work reliably in production. With a background in Data Science and Product Management, I bridge strategy and execution so AI is not just impressive, but useful, scalable, and aligned with real business goals.
My background includes a Master of Data Science from UBC, an IT Engineering (similar to Computer Science), Business, and eMBA from BCIT, etc. This diverse background has helped me balance strong engineering execution with strategic, business-focused thinking.
What I Work On:
π€ Machine Learning & AI Agents: Build reliable, scalable ML systems and intelligent agentic solutions
βοΈ Automation: Turn slow, manual workflows into efficient, automated processes
π§ Practical AI Execution: Transform AI ideas into real, deployable, production-ready systems
π Evidence-Driven Decisions: Use research, data, and A/B testing to guide confident decisions
π§ Product Strategy: Connect technology to business goals, prioritize impact, and ensure meaningful outcomes
Always happy to connect and chat about data π, AI/ML π€, product π, or grab a coffee βοΈ. If youβre into hiking π₯Ύ, running πββοΈ, tennis πΎ, or skiing β·οΈ, even better π


