
Data Engineer
I’m a data and AI professional focused on building practical, production-grade solutions at the intersection of analytics, engineering, and real-world operations. My work spans data engineering, business intelligence, and applied AI—helping organizations turn data into systems that drive measurable impact. I’ve delivered end-to-end AI and analytics solutions across industries including insurance, manufacturing, and product-based companies. My focus is on moving beyond prototypes—designing AI workflows that integrate seamlessly into business processes, from anomaly detection and forecasting to process optimization and decision support. I’m particularly interested in how AI systems scale in real environments, where reliability, integration, and adoption matter just as much as model performance. At a hackathon, I enjoy helping teams think through not just what to build—but how it can actually work in the real world.
Structured Session Types
Each session type has a defined format, duration, and expected output for your team.
30-45 min
Idea Validation
Get early feedback on your concept, scope, and feasibility before you build.
20-30 min
1:1 Check-ins
Private sessions to unblock your build, debug issues, and refine your approach.
45-60 min
Office Hours
Open group sessions for domain-specific help — AI, storytelling, UX, and more.
30-45 min
Pre-Demo Reviews
Polish your demo before submission with critique from experienced mentors.
Tools I Recommend
Resources will be added before office hours begin.
Request a Structured Session
Share your current stage and goals so mentors can align the session with a clear outcome.