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.
Check out some past and present projects!
Check out some of hobbies and interests!
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 | Signal Processing | Dynamics and Controls | Circuits | Software Construction | Probability | Statistics | Linear Algebra | Tiny ML and Efficient Deep Learning (Grad)| Sensorimotor Learning (Grad)
Work Experience
Electrical Engineering Intern - Safety-Critical Hardware & Software
Joby Aviation (June 2025 - August 2025)
- Spearheaded full-cycle development of a safety-critical inflight wireless sensing system under urgent timeline
- Cut 2 weeks from project timeline through precise design and 100% yield manual PCB assembly
- Engineered real-time sensing and telemetry firmware; cut power by 93% while tripling range on sub-½ in² PCB
- Optimized part selection and schematic for noise rejection, AEC compliance, flexibility, and coin cell operation
- Characterized signal and power behavior of custom hardware to support FAA DO-254 and DO-160 compliance
Hardware-Software Co-Development - MIT LEAN
Researcher under Prof. Vivienne Sze and Prof. Sertac Karaman (May 2024 - May 2025)
- Deploying new perception algorithm, analyzing computation, and developing FPGA hardware accelerator to optimize energy consumption
- Enabling FPGA-in-the-loop framework for minature robotic car platform
Ultra-Efficient Robotic Perception and Planning - MIT LEAN
Researcher under Prof. Vivienne Sze and Prof. Sertac Karaman (May 2024 - May 2025)
- Developed key hardware and software for autonomous test vehicle and utilized platform to test custom algorithms
- Analyzed and presented Compute Energy Included Motion Planning platform at MIT CICS
- Enabled realtime vision DNN on < 3W system; optimized processing distribution and integrated hardware accelerators
- Achieved full native support for all dependencies and eliminated connectivity issues
- Bridged incompatible Linux systems and modularized codebase leveraging Docker
- Developed remote compute and vision stack with TCP/IP enabling hardware-in-the-loop development
- Verified and documented systems; seamlessly integrated energy efficient motion planning, SLAM, and depth estimation
Co-Founder
UniAve and KoolYard (January 2024 - Present)
- 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
Machine Learning Teaching
MIT Intro ML Learning Assistant and Italian High School Teacher (January 2024 - May 2025)
- Designed and taught ML curriculum for MIT and international students, adapted complex concepts to varied backgrounds
- Provided mentorship and one-on-one tutoring that improved student outcomes and fostered long-term interest in ML
Researcher under Prof. Fadel Adib (Sep 2023 - May 2024)
- Increased scan speed by 40%; developed online decoding algorithm and embedded C for RFID Synthetic Aperture Radar
- Interleaved time-sensitive setup and active times of SPI devices to maximize duty cycle using Raspberry Pi and STM32
3D Generative AI and Counterfactuals @ MIT DeCodE
Researcher under Prof. Faez Ahmed (Feb 2023 - Sep 2023)
- Developed computer vision pipeline for ASME conference demo and paper to generate optimized bike CAD designs
- Reduced CFD runtime by 99.999% with 95% accuracy; trained, analyzed, and optimized 20+ architectures as surrogates
- Integrated key ergonomic parameters from literature 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 (November 2024 - December 2024)
- Awarded MIT Northern Telecom/BNR Project Award
- 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 2016 - 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, Matcha