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Nikhil Herdt

Applied AI Engineer. I build real-time vision systems, ship ML-powered products, and take projects from problem framing to production.

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Nikhil Herdt
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I'm an Applied AI Engineer who builds real-time intelligent systems — from on-device computer vision to LLM-powered products. I co-founded Casmium, where I architected a full-stack AI platform for youth sports, and I worked as a Research Developer at UI Hospitals & Clinics, building LiDAR-based assistive tech for visually impaired patients.

I'm at my best translating user needs and research constraints into clear system design and shipped products — taking projects end-to-end from problem framing through deployment.

Education
M.S. Electrical & Computer Engineering University of Iowa
B.S. Biomedical Engineering University of Iowa
Resume
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> AI & Intelligent Systems
Computer Vision Object Detection Machine Learning Sensor Fusion Real-Time Inference LLM Integration
> Systems & Software
iOS Development Embedded Systems Cloud Services API Design Real-Time & Distributed Systems
> Data & Analytics
Predictive Modeling Data Pipelines Dashboard & Visualization Model Deployment
> Product & Leadership
Problem Framing Technical Strategy System Ownership Stakeholder Communication Agile & Prototyping
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Work History

Co-Founder

@ Casmium, LLC 08/2020 — Present
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Founded and built an AI-powered analytics platform that digitized youth sports data collection, analyzed performance in the cloud, and delivered actionable coaching insights.

  • Architected a full-stack AI platform spanning iOS apps, cloud services, and web tooling across multiple products.
  • Led development of Velo Tracker — on-device computer vision for real-time baseball throw velocity measurement.
  • Designed scalable cloud backends (Google Cloud) for data ingestion, processing, and analytics.
  • Served as technical decision-maker, translating user needs into engineering trade-offs and system designs.

Research Developer

@ UI Hospitals & Clinics 05/2023 — 05/2026
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Developed AI-driven assistive technology for vision-impaired patients navigating dynamic spaces, delivering real-time guidance via consumer devices.

  • Built a LiDAR- and computer-vision–based navigation system converting spatial data into real-time audio and haptic feedback.
  • Integrated iPhone, Apple Watch, AirPods, Arduino, and Raspberry Pi into a single real-time system.
  • Applied sensor fusion to improve obstacle detection in dynamic indoor environments.
  • Worked directly with clinicians to translate patient safety constraints into system requirements.

Business Intelligence Intern

@ MNX Global Logistics 02/2022 — 06/2022
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Applied predictive modeling to improve operational planning in enterprise logistics.

  • Built forecasting models to predict shipment volumes, enabling proactive capacity planning.
  • Integrated model outputs into Power BI dashboards for operations and leadership teams.
  • Deployed models compatible with existing enterprise data pipelines and workflows.
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Projects

Casmium cover

Casmium

Full-stack AI platform for youth sports — mobile data collection, cloud analytics, and Velo Tracker for on-device throw velocity measurement via computer vision.

Computer Vision iOS Cloud Startup
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SensoryScape

LiDAR- and vision-based assistive navigation for visually impaired patients. Real-time spatial perception converted to audio and haptic feedback across consumer and embedded hardware.

LiDAR Sensor Fusion Accessibility Swift
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AI Cycling Safety

Raspberry Pi Object Detection
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Wearable Poker Assistant

Wearable Object Detection
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Ultrasound Denoising AI

Deep Learning Medical Imaging
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Shards of the Grids

Ruby on Rails Agile
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Let's connect

I'm open to new opportunities, research collaborations, and interesting conversations.

herdtnikhil@gmail.com LinkedIn GitHub