Cornell Tech Break Through Tech AI Fellowship
A competitive AI fellowship focused on applied machine learning, technical mentorship, industry-aligned AI Studio preparation, and responsible AI practice.
- ↗ A competitive AI fellowship focused on applied machine learning, technical mentorship, industry-aligned AI Studio preparation, and responsible AI practice.
Overview
The Break Through Tech AI Fellowship adds a structured, industry-aligned AI learning track to my broader work building applied AI products. The program focuses on machine learning fundamentals, hands-on labs, technical mentorship, responsible AI, and preparation for industry-based AI Studio projects.
Why it matters
A lot of AI work breaks down when builders know tools but not evaluation, data discipline, stakeholder communication, or responsible deployment. This fellowship strengthens the technical and product foundation behind the AI systems I am already building across PathWise, education tools, and workflow automation.
My role
As an AI/ML Fellow, I am developing practical skills in Python, machine learning, data analysis, model evaluation, and responsible AI while preparing for collaborative industry projects.
What I am building from it
The goal is not just to complete coursework. The goal is to bring better rigor into products: clearer evaluation, stronger AI workflows, better data reasoning, and more responsible product decisions.
PM / APM interview story
Situation: I was already building applied AI systems, but wanted stronger ML rigor and industry-aligned practice.
Task: Strengthen my applied AI foundation through a structured fellowship.
Action: I joined Break Through Tech AI, focusing on ML labs, model evaluation, responsible AI, and industry project preparation.
Result: The fellowship strengthens the technical depth behind my AI product work and improves how I translate AI concepts into practical use cases.