Currently a student at NYU’s Courant Institute of Mathematical Sciences, I am on track to earn a Bachelor’s degree in Mathematics and Computer Science with a minor in Economics in three years.
I am very interested in deep tech startups, more specifically Aerospace and Defense, Autonomous Vehicles, Brain-Machine interfaces, Renewable Energy, Additive Manufacturing, Blockchain Technologies, and Artificial Neural Networks. In order to achieve my dream of becoming a deep tech founder, I am actively building my skillset in Product Management, Entrepreneurship, and Venture Capital. My passion for deep tech stems from my love for problem-solving and my creative nature – I deeply enjoy learning and communicating hard engineering challenges, finding innovative commercial applications for frontier technologies, and ultimately creating economically viable products that solve real-world user painpoints.
Aside from my Product skills in User/Market Research, Product Roadmapping, KPI Definitions, and MVP Prototyping, I am also very familiar with Agile Dev. I am constantly looking for ways to implement Agile into deep tech Product Dev, shortening iteration cycles and overcoming scalability barriers of deep tech products. Having worked at several Seed/Series A startups, I am well versed in Customer Interviews, NDR, Churn/Retention, Break-Even Analyses, Inbound/Outbound Marketing Channels, Accounting/General Financials, and Eric Rie’s Lean Startup Method. With experience at Startup Accelerators and VC Firms, I’m also familiar with fundraising basics (Pre/Post Money Valuations, Convertible Notes, SAFE Notes, Cap Table Breakdown, etc.).