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Work Experience – Hridaanshu (Anshu) Gusain

Mechatronics & Robotics Engineer

Embedded Systems • Computer Vision • Real-time Control • PCB Design

Programming

PythonC/C++Java

Embedded & RTOS

STM32ESP32FreeRTOS

Robotics

ROS/ROS2SLAMKinematics

Hardware

KiCADAltiumPCB Design

Protocols

CANSPI/I2CUART

Vision & ML

OpenCVTensorFlowKeras

🏆 Awards & Recognition

IEEE Systems Council – Best Paper Honorable Mention (2024) UIUC EOH – Distinguished Technology (2025) FRC 2791 – Programming Award (2024) STANYS – Honors (2024) GRCSEF – Honorable Mention (2024)

Co-Founder & Embedded Systems Engineer – MiteOut Precision Technologies

AgTech · 2024 – Present

  • Co-founded AgTech startup focused on precision beekeeping hardware.
  • Designed 4-layer mixed-signal PCBs with robust power stages and calibrated sensor pipelines.
  • Developed FreeRTOS-based firmware for real-time scheduling and wireless data collection.
  • Extended field uptime via low-power modes and accelerated pilot revisions with drop-in board spins.
Power MgmtI2C/SPIFreeRTOSPlatformIOKiCAD/Altium

Additive Manufacturing Researcher / Product Lead – ASME

Robotic 3D printing · 6-DOF control · CAN

  • Directed development of a 6-DOF robotic 3D printer with ROS-based multi-axis control.
  • Built custom control boards and synchronized CAN bus networks for accurate toolpath execution.
  • Implemented non-planar toolpaths with feedback, enabling angled and curved prints.
  • Led product demonstrations, showcasing novel robotic additive manufacturing capabilities.
ROSCANKinematicsCustom Boards
Robotic printing demo

Software/Hardware Intern – CloudCage

Summer 2025

  • Automated CRM workflow integrations and internal platform syncs with Python.
  • Assisted server management and validation of Linux-based infrastructure.
  • Built and validated JetKVM remote access hardware, reducing manual tickets and speeding field setup.
PythonLinuxAutomationServers

Bioinformatics Researcher – Deep Learning for Nuclei Segmentation

Lead author · IEEE paper · 2022–2024

  • Designed and trained U-Net deep learning models for hyperspectral nuclei segmentation.
  • Led dataset preprocessing, experiment tracking, and publication as IEEE paper lead author.
  • Awarded Best Paper Honorable Mention by IEEE Systems Council (2024).
TensorFlowKerasImage Analysis

Lead Programmer – FRC Team 2791

Control • Vision • Motion Planning · 2020–2024

  • Led software development for competitive robotics (Java/C++), covering drivetrain, vision, and autonomous subsystems.
  • Implemented motion profiling and real-time PID/PIDf tuning for stable autonomous behavior.
  • Integrated fiducial markers for pose estimation, improving autonomous scoring reliability.
C++/JavaControlVision
FRC robot