• GPA: 3.7; SAT: 1530 (790M, 740RW)
• Relevant Coursework: Data Structures, Theory of Algorithms, Discrete Mathematics, Systems Programming, Financial Accounting
• Activities: Economics Research with James Heckman (Nobel Laureate), Chabad (Board Member), Chess Club, Sailing Team, Phi Delta Theta

Founded Gatsby, a consumer robotics startup: made U.S. history and international news for the first humanoid-robot home cleaning. Raised $250K pre-seed from Entrepreneurs First; backed by NVIDIA.

• Deployment: Ran the first-ever consumer humanoid cleaning (May 2026), delivering the robot to a randomly selected SF waitlist customer; negotiated and closed a partnership in Mexico for remote-teleoperation; backed by Entrepreneurs First ($250K pre-seed) & NVIDIA
• Robotics: Built a humanoid teleoperation stack from scratch by integrating frontier research from NVIDIA, Amazon and Stanford; engineered a hybrid stack with manual teleoperation and trained autonomy to execute real tasks end-to-end
• Product: Solo-built and shipped the full consumer stack: published iOS app, web platform, booking system and the robot-agnostic distribution layer on top of third-party humanoid hardware
• Traction: Grew an early waitlist through guerrilla marketing (walking the robot through Salesforce Park at peak lunch hour, placing intriguing sidewalk decals all throughout SF), then converted the first-in-U.S. deployment into international press (Fox News, Times of India, and more), driving a surge in nationwide demand

• Prototyped an AI analytics platform overnight after the idea came up in a client meeting; presented it to the CEO the next morning, who pulled me off all other work to build it full-time for the rest of the summer
• Shipped a natural-language query layer (React, Python/Flask, Perplexity API) that let non-technical users analyze internal client datasets without exposing data externally; iterated on feedback from the team and PE clients
• Presented at the company's quarterly board meeting; the system is now integrated into Teragonia's flagship Astradis platform

• Covered semiconductors and global EV output, building financial models to project cash flows and company valuations
• Engaged with sell-side analysts and industry experts to refine equity research and enhance market perspectives
• Select project experience:
  • Developed an AI program to automate data scraping, significantly improving efficiency and accuracy by compiling extensive historical and projected xEV model data
  • Assembled a 15-year, bottom-up operating model and DCF analysis for a large semiconductor company; issued a ‘Buy’ rating due to projected growth in plug-in hybrid electric vehicle (PHEV) units and demand for AI semiconductors

OpenCV, Raspberry Pi, Python, CAD, 3D Printing

• Led a 5-person team to take a WALL-E-inspired cleaning robot from concept to a working autonomous demo in a 47-hour hackathon, owning both hardware and software end-to-end, placing 2nd of 30+ teams
• Designed every part in CAD and 3D-printed a custom embodiment on-site (iterating, fitting and finishing parts mid-event) on top of a wheeled mobile base with a Raspberry Pi running the full software stack
• Built and fine-tuned an OpenCV vision system that reliably detects floor messes across varying floor types and lighting, then drives the robot to autonomously locate, approach and clean them, wrapped in a layer of expressive character

Python, RST, YAML

• Created, published, and maintained Chess-Analytica, a Python package for automating chess game data extraction and analysis that has become a go-to tool for developers
• Engineered the library to be highly modular and extensible, allowing users to easily add new analysis features and data sources, contributing to its growing popularity
• Achieved over 50,000 installs as of 2026, establishing it as one of the top Python libraries for chess analysis and demonstrating significant real-world impact and adoption