I'm a technical strategist with an engineering background and deep tech expertise, specializing in identifying and evaluating high-potential early-stage companies. With a proven track record in analyzing complex technical solutions, I deliver structured analysis and communicate with precision.
My extensive experience spans cross-functional collaboration, market intelligence, and building founder relationships. I'm passionate about deep tech innovations with a keen eye for venture-scale opportunities in transformational technology.
M.S. in Engineering Management
Teaching Assistantships: Python, Java, Deep Learning, Data Patterns, Algorithms, Financial Modelling and Valuation, Pricing Analysis.
B.E. in Computer Science
Leadership: Vice President and Head of R&D, Computer Science Department
Comprehensive financial modeling and technical due diligence on Tesla's EV technology platform.
Built and maintained a proprietary database of 70+ early-stage deep tech startups across US and Europe.
Developed a systematic framework for evaluating deep tech founders and technologies.
I've developed a systematic approach to identifying promising early-stage founders before they gain widespread attention, focusing on technical capability, market timing, and venture-scale potential.
I've built strong relationships with technical academics, research institutions, and emerging founders across multiple technology hubs.
Created and maintained detailed opportunity tracking systems that prioritize high-potential founders based on technical capability, market timing, and venture-scale potential.
Regular participant in deep tech meetups, accelerator demo days, and university innovation showcases to discover undiscovered talent.