About

A dedicated MIT student and versatile engineer with real world experience working at the intersection of machine learning, electrical engineering, and robotics. He loves hand-on experimentation and making. In his free time, he enjoys espresso, biking, wake surfing, and everything outdoors.

---

Maker Projects

Check out some past and present projects!

---

Hobbies

Check out some of hobbies and interests!

---

Resume

Check out the most recent PDF resume!

---

Education

Massachussets Institute of Technology (Class of 2026)

• Candidate for Bachelor of Science in Electrical Engineering and Computer Science (GPA: 5.0/5.0)
• Accepted into Masters of Engineering (Expected 2026-2027)

Relevant Coursework

Design and Analysis of Algorithms | Digital Systems | Dynamics and Controls | Circuits | Software Construction | Probability | Statistics | Linear Algebra | Tiny ML and Efficient Deep Learning (Grad)| Sensorimotor Learning (Grad)

---

Work Experience

Co-Founder of KoolYard (January 2024 - Present)

Social event planning platform connecting event planners with vendors and caterers

• Develop and advise product strategy, business development, and technical architecture ensuring timely launch of MVP
• Identify applications for machine learning to increase user engagement and pinpoint inappropriate content
• Conduct student outreach and user testing to make rapid modifications and development

Ultra-Efficient Robotic Perception and Planning @ MIT LEAN

Researcher under Professor Vivienne Sze and Professor Sertac Karaman (May 2024 - Present)

• Reduce computation for motion planning and perception by designing selective and probabilistic dynamic map algorithms
• Achieved full native support for all dependencies and eliminated connectivity issues; modularized codebase leveraging Docker
• Developed remote compute and vision stack with TCP/IP, enabling intensive autonomy processes on ultra-low power robots
• Verified and documented systems; seamlessly integrated energy efficient motion planning, SLAM, and depth estimation

Machine Learning Teaching

MIT Intro ML Learning Assistant and Italian High School Teacher (January 2024 - Present)

• Tutor machine learning subjects for students from MIT, Harvard, and international schools individually and in groups
• Prepare, refine, and teach coursework individually and alongside professors, cultivating encouraging learning environments

RFID SAR Micro-Localization @ MIT Media Lab

Researcher under Professor Fadel Adib (Sep 2023 - May 2024)

• Increased scan speed by 40%; developed linear decoding algorithm and embedded controls for RFID Synthetic Aperture Radar
• Coordinated real-time interactions between RPi, synthesizers, ADCs, and other SPI hardware with STM32 and C/C++

3D Generative AI and Counterfactuals @ MIT MechE

Researcher under Professor Faez Ahmed (Feb 2023 - Sep 2023)

• Developed AI pipeline for ASME conference demo and paper with TensorFlow and YOLO CV to generate bike CAD designs
• Reduced CFD simulation runtime by 105 with 95% accuracy; trained, analyzed, and optimized 20+ architectures as surrogates
• Identified and integrated key ergonomic parameters from literature and experience to improve quality of generated designs

The Bike Connection (June 2020 - July 2020)

• Diagnosed and repaired issues full time with simple and state of the art electric bikes
• Provided customer service and demoed bikes for a bike shop with one million dollar yearly revenue

Interactive Lessons Tutor (Winter 2021 - Summer 2021)

• Self advertised service through Facebook, Craigslist, flyers, and word of mouth
• Cultivated stimulating lessons and experiments to grow students’ interest in math and science over zoom

---

Technical Projects

FPGA Driven Auto Calibrating LED Display (Fall 2024 - Present)

• Design custom modules for Spartan7 FPGA with SystemVerilog to drive WS2812B LEDs
• Verify hardware designs with cocoTB testbenches and Python scripts
• Implement automatic and memory efficient calibration algorithms on hardware

Club Lighting (Summer 2023 - Present)

• Designed and manufactured custom lighting system using ESP32, ESP8266, RaspberryPi, router, and addressable LEDs
• Enabled reliable wireless WIFI communication in high traffic settings via UDP with C/C++ libraries and open source software

Custom Processor (Summer 2023 - Winter 2023)

• Designed processor from scratch and reduced clock time by 50% experimentally and with pipelining
• Created ALU, shortened critical paths, and optimized memory accesses with Minispec HDL (VHDL inspired) and RISC-V

Electric vehicles and Lithium Batteries (Summer 2017 - Present)

• Design and construct electric vehicles and protected lithium battery packs with capacities from 1 Wh to multiple kWh
• Previous electric vehicles include: 2 Electric Skateboards, 2 Electric Bikes, 1 Motorized Cooler, 1 Reverse Engineered Scooter

3D Design, Arduino, and Manufacturing (Summer 2026 - Present)

• Use Fusion360, 3D printing, and other methods to model and manufacture single and multi-component assemblies
• Integrate and program Arduino boards into musical instruments, security systems, and IoT systems

---

Skills and Interests

Skills:

Robotics, Deep Learning, ROS, Verilog, FPGA, cocotb, Python, C, C++, Typescript, Git, Linux CLI, PyTorch, TensorFlow, Rapid Prototyping, Arduino, SPI, I2C, Soldering, Oscilloscopes, Logic Analyzers, CAD, Battery Systems, Mandarin

Interests:

Tutoring, Photography, Wake Surfing, Road Biking, Delta Tau Delta, Espresso