Zohaib Sheikh

ECE & Mathematics, Engineering Honors · UT Austin

Embedded systems engineer and PCB designer. Intern at Baker Hughes on the Artificial Lift Systems team. Building race car electronics with Longhorn Racing (Formula SAE) at UT Austin.

zohaibsheikh@utexas.edu github.com/zohaib642 linkedin.com/in/zohaibsheikh62

Experience

Baker Hughes

May 2026 – Present

Current

Engineering and Technology Intern

Designing rectifier PCBs for the FusionPro Intelligent Production Drive on the Artificial Lift Systems team using Altium Designer.
Building HIL simulation environments in Typhoon HIL to validate drive firmware under fault conditions before hardware deployment.
Developing Python test scripts to automate hardware-in-the-loop validation of production drive control systems.

Longhorn Racing (Formula SAE)

Sep 2025 – Present

Current

Embedded Systems Engineer

Selected from 7% acceptance pool for UT Austin's Formula SAE Electric team building a fully electric race car.
Led full design cycle of 4 Upright Sensor PCBs: schematic capture, 4-layer layout, DRC, and JLCPCB fabrication.
Designed 3D-printed Nylon enclosures in Fusion 360 and integrated sensor modules directly onto vehicle uprights.
Wrote bare-metal STM32 firmware for Hall-effect wheel speed and IMU data acquisition over CAN at 1 kHz.
Routed 180+ meters of wiring across 33 PCBs and connectors using RapidHarness wire harness software.

Texas A&M University

May 2024 – Apr 2026

CS Research Intern

Built a stream-based malware detection pipeline using online ML classifiers and 35+ custom YARA rules.
Generated SBOMs and analyzed open-source dependency vulnerabilities with Dependency-Track, visualized with Plotly.
Conducted longitudinal studies tracking security posture changes across open-source repositories.

Hewlett Packard Enterprise

Mar 2025, May 2026

HPE Certified Technical Lead + Summer Externship

Led PM team in 8-hour MVP simulation at HPE HQ, directing 2 sub-teams across data API and programming.
Managed milestone builds and GitHub source control across overlapping namespaces under strict deadlines.
Delivered working MVP on deadline; HPE-issued certification (Cert ID 9075).

iCode Cypress

Aug 2024 – Apr 2025

Lead Instructor

Instructed 48 K-12 students in TensorFlow, web development, game development, and other STEM topics.
Promoted from Lab Mentor to Lead Instructor within the first month for demonstrated leadership.

Projects

Upright Sensor Module

Sep 2025 – May 2026

Longhorn Racing (Formula SAE)

Designed four 4-layer PCBs integrating Hall effect sensors, a 6-axis IMU, and a CAN transceiver on a single MCU.
Wrote bare-metal firmware for sensor sampling, CAN message packing, and transmission at 1 kHz.
Fabricated and assembled boards, validated with oscilloscope, and integrated onto the race car.

KiCadCCAN BusSTM32IMU

Upright Sensor Module: Technical Report.pdf

Open Report ↗

OpenBGC 2-Axis Brushless Gimbal Controller

In progress

Personal Project

May 2026 – Present

Laying out a 4-layer KiCad PCB: STM32G4, dual DRV8302 gate drivers, 12 N-channel MOSFETs, AS5047P magnetic encoders, ICM-42688 IMU, black soldermask ENIG finish.
Implementing full FOC from scratch in bare-metal C: Clarke/Park transforms, SVPWM at 20 kHz via hardware timer interrupt, cascaded PID for velocity and current loops.
Building complementary filter for roll/pitch estimation and telemetry pipeline (UART → RPi Zero 2W → MQTT → Grafana) to stream phase currents and gimbal state live.

STM32G4KiCadCFOCSVPWMIMUMQTTGrafana

Game Box v1.0

Apr 2026

UT Embedded Systems

Designed a custom-PCB handheld game console: TI MSPM0G3507, ST7735 LCD, R-2R DAC, joystick, SD card.
Built an SD-card game loader with interrupt-driven sampled audio playback and a sprite rendering engine.

CTI MSPM0G3507ST7735R-2R DACSPI

Facial Recognition Device

Apr – May 2025

Multi-MCU System

Built a 3-MCU face-tracking device with ML classification, servo pan/tilt, TFT display, and joystick override.
Designed the UART protocol coordinating vision, classification, and motion across all three microcontrollers.

TensorFlow LiteCPythonUARTServo Control

Stream-Based Malware Detection

2024

Texas A&M Research

Built a security analysis pipeline with 35+ YARA rules, SBOM generation via Dependency-Track, and Plotly dashboards.
Conducted longitudinal studies tracking security posture changes across open-source repositories.

PythonYARADependency-TrackPlotlyML