Hardware, software,
and everything
between.

I'm Himanshu, a Mechatronics Engineering graduate obsessed with the “everything between.” From low-level hardware to high-level software, I build across the entire stack. When I'm not debugging or soldering, you'll find me on the soccer pitch, playing basketball, exploring new music, or sitting front row at a stand-up comedy show (maybe if my stand-up career takes off I won't need this site anymore).

LinkedInGitHub
Himanshu Singh
About

From computer vision to electric race cars

Mechatronics Engineering graduate from McMaster University (B.Eng, 3.9 GPA, 4× Dean's Honor List) with professional experience at Tesla, Ayar Labs, and McMaster's Intelligent & Cognitive Engineering Lab.

I specialize in hardware test, robotics, machine learning, PCB design, and hardware-software integration from building AI-powered hearing aids and reverse-engineering ICs to designing and leading multi-layer PCB design for electric race cars.

Himanshu Singh
Spotlight Project
Himanshu with HearPoint
ML · Audio · Embedded · 2026
🏆 Winner McMaster iBioMed Capstone Expo 2026

HearPoint.ai

A wearable that isolates one enrolled speaker from a noisy crowd in real time. Tackles the cocktail party problem using a causal, streaming TFGridNet conditioned on a voice embedding ~17 ms end-to-end latency, fully on-device via CoreML.

PythonPyTorchTFGridNetCoreMLApple SiliconResemblyzer
Read more →GitHub ↗
HearPoint product
Experience

Where I've worked

Sept 2025 – Present
Hamilton, Ontario
McMaster University ICE Lab
Undergraduate Researcher
Developing a machine learning pipeline to reverse-engineer integrated circuits from SEM imagery using automated segmentation, vectorization, and connectivity analysis. Exploring deep and unsupervised models to extract circuit features and generate netlists for data-driven IC layout reconstruction.
PythonDeep LearningComputer VisionUnsupervised ML
July 2024 – July 2025
San Jose, California
Ayar Labs
Junior Software Engineer Photonic Hardware Systems
Built and automated hardware test systems for silicon photonic and laser products at wafer, die, and packaged levels. Developed a convolutional autoencoder anomaly detection program saving 5–7 hrs/week of manual inspection. Implemented a real-time threaded PID controller reducing unit test time by 30%. Built scalable data logging infrastructure for remote monitoring across multiple test stations.
PythonOpenCVTensorFlowPySerialPyVisaDagsterSQL
May 2023 – Aug 2023
Palo Alto, California
Tesla
Supervisory Controls & DAQ Intern
Developed supervisory controls (PLC), HMIs, and Python automation tools for the Megapack energy storage system. Researched and presented a cybersecurity file transfer device for deployment at military sites across the US. Designed and built a hardware test bench to replicate field equipment. Maintained CLI scripts for testing sitemeters across hundreds of Megapack installations.
C++PythonBashPLC ProgrammingSQL
Sept 2022 – Aug 2025
McMaster University
MAC Formula Electric FSAE
LV/HV Electronics Lead
Led a team of 10 students to develop the EV control system. Designed multi-layer PCBs from schematic to layout in Altium Designer, including a 4-layer board for low-voltage control of HSDs powering sensors, devices, and shutdown connections controlled by an STM32 microcontroller. Regular repairs, testing, and troubleshooting of the vehicle's electrical system.
Altium DesignerSTM32CAN BusMultisimPCB Design
Full Formula Electric portfolio →
2022 – 2026
Hamilton, Ontario
McMaster University
B.Eng. Mechatronics Engineering
3.9 GPA · 4× Dean's Honor List. Coursework in embedded systems, robotics, control theory, machine learning, PCB design, and hardware-software integration.
Toolkit
PythonC / C++MATLABTypeScript / JSTensorFlow · PyTorchOpenCVPCB Design · AltiumSTM32 / Embedded CCAN BusPLC ProgrammingDagster · SQLSolidWorksLinux / Bash
Projects

Things I've built

Click any card for details
ML · Audio · Embedded
↗
HearPoint.ai
Real-time target speaker isolation for hearing aids extracts one enrolled voice from a noisy crowd at ~17 ms end-to-end latency. Winner of McMaster iBioMed Capstone Expo 2026.
2026
Robotics · ML · LLM
↗
Neural IK for a 3-link arm
Replaced numerical inverse kinematics with a neural network for a 3-link planar robot arm. An LLM pipeline converts natural-language shape prompts into trajectories.
2025
Security · ML · CV
↗
Keysight
Security system with real-time face identification and voice detection for home or business access control.
2023
Embedded · Medical
↗
Pace++ Pacemaker Simulator
Simulated pacemaker with 7 unique modes, real-time ECG display, and encrypted local data storage built to Boston Scientific specifications.
2022
Hardware · Accessibility
↗
Palm-Grip Mouse
Custom computer mouse for a client with Ehlers-Danlos syndrome designed to eliminate shoulder and finger strain while remaining a practical daily driver.
2021
Hardware · Energy
↗
Smart Solar Panel
Solar panel that tracks a light source while displaying live power data (mW, mA, V, temperature) and is controllable via app. Built as a miniature model for high-rise rooftop deployment.
2020
MAC Formula Electric · FSAE · McMaster University · LV Electronics Lead

Formula Electric
designing PCBs
for a race car.

Three years as LV Electronics Lead at MAC Formula Electric. I design and manufacture the Electronic Control Units multi-layer PCBs that make the car run. Re-spinning the LV Controller, Front Controller, and Raspberry Pi Hat for 2024–25.

Altium DesignerSTM32CAN Bus4-layer PCBLV/HV ElectronicsCAN Flash
Read more →
Contact

Let's build something.

Whether it's a job, a project, or just a conversation about hardware and software I'd love to hear from you.

LinkedIn
linkedin.com/in/himanshu-singh03
GitHub
github.com/HimanshuSingh03