Hi, I'm

Nikhil Herdt

Graduate Computer Engineering Student

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Nikhil Herdt

About

I'm a graduate student in Electrical & Computer Engineering at the University of Iowa (B.S. Biomedical Engineering, 2025). I focus on AI, computer vision, and real-time systems, and I like taking projects from problem framing through to deployed products.

I co-founded Casmium, where we built an AI-powered analytics platform for youth sports and shipped Velo Tracker, a mobile product that measures baseball throw velocity using on-device computer vision. I also work as a Research Developer at UI Hospitals & Clinics, building LiDAR- and vision-based assistive tech for visually impaired patients.

I'm at my best when translating user needs and research constraints into clear system design and implementation, and I'm always digging into new tools and problem domains.

Skills & tools

  • AI Programming
  • Agile & Prototyping
  • LLM Integration
  • Technical Strategy
  • Python
  • Swift
  • JavaScript
  • Computer Vision
  • Machine Learning
  • Deep Learning
  • Embedded Systems
  • iOS Development
  • Embedded Systems
  • Cloud / APIs
  • Stakeholder Communication
  • Problem Framing
  • Data Pipelines

Projects

  • Casmium

    Next-gen analytics platform for youth sports. Digitized data collection via mobile devices, cloud-based performance analysis, and insights for coaches. Includes Velo Tracker, a standalone mobile product that measures baseball throw velocity using on-device computer vision and a smartphone camera.

    Website
    Casmium

  • SensoryScape

    Research at UI Hospitals & Clinics: AI-driven assistive technology for vision-impaired patients navigating dynamic spaces. LiDAR and computer vision feed real-time audio and haptic guidance via iPhone, Apple Watch, AirPods, and embedded hardware.

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    SensoryScape

  • Shards of the Grids

    Large team project for Software Engineering Languages and Tools (SELT): a multiplayer, grid-based adventure game built with Ruby on Rails. Emphasized Agile workflows, sprint planning, and collaborative development across a full application lifecycle.

    View project Source
    Shards of the Grids

  • BikeBuddy

    Senior Design project combining Raspberry Pi, real-time computer vision, and LLM-powered analysis to improve biking safety for children. Onboard cameras and detection models identify nearby hazards and deliver timely alerts and explanations to the rider.

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    BikeBuddy

  • Wearable Poker Assistant

    Wearable AI system built with Raspberry Pi, camera-based object detection, and an LLM backend to teach new poker players, with real-time strategy guidance and explanations delivered through a mobile app.

    View project Source
    Wearable Poker Assistant

  • Ultrasound Imaging Denoising AI

    Deep learning model trained to reduce noise in ultrasound images from machine or patient variability, improving diagnostic clarity while preserving critical biological structures.

    View project Source
    Ultrasound Imaging Denoising AI

Contact

I'm open to new opportunities and conversations. Say hello.