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HELLO,
I'M LUCAS NIEWOHNER

ROBOTICIST

DATA SCIENTIST

PERCEPTION ENGINEER

PORTFOLIO
Stormy Bryce Square.jpg

I'm Lucas Niewohner - an experienced roboticist, data scientist, communicator, experimenter, and applied developer with extensive startup
experience. I’m passionate about forming relationships, focusing on the big picture, testing in the field, and helping people via
technology. I’m looking to help an innovative team do Robotic Intelligence once I finish my Masters in December 2025

Skills

Skills
Experience

EXPERIENCE

2019-2024

BIRDSEYE AND HOGWASH ROBOTICS

ROS and CV System Prototyper

I designed, prototyped, tested in-field, and co-patented a poultry mortality collection and broiler barn maintenance platform. My ROS and Intel NUC-based computer vision platform successfully performed SLAM localization and Behavior Tree-based action sequencing to secure over $1m in investor funding.

2021-2025

COLORADO SCHOOL OF MINES

Data Science and Robotics Student

While in Academia, I learned Optimization, Controls, Kinematics, Computer Vision, Philosophy, and Machine Learning from world-class professors, studied abroad in New Zealand and France, and assisted with teaching Data Science.

2022-2022

Mines Environmental Engineering

IoT Embedded Development Researcher

I collaborated with the Environmental Engineering department at Mines to develop a power-efficient array of ESP32-based, Ad Hoc-Networked environmental sensors for a prototype irrigation system. I increased uptime from 20% to near-100% with fault-resistant C++ control logic while reducing power consumption by 98%.

2023-2023

Stratom Autonomy

Robotic Mapping Intern

I lead a team of 4 to plan, present, develop, and test a ROS2 obstacle detection system which surpassed all objectives.

2024-2025

Greenline Autonomy

Robotic Intelligence Developer

I built a real-time LIDAR-based panel and post detection system for specialized Solar Field navigation and Obstacle Avoidance. My semi-automated computer vision training platform annotated over 100k images for use in a deep visual network.

2025-2025

Scythe Robotics

Field Engineering Intern

Reworked Robot Data infrastructure in Rust to facilitate "Log Queries" to extract data for Data Science and debugging at 90-90% smaller data sizes. I used this to democratize access to video and GPS data with a new UI, allowing the support team to diagnose problems more easily.

CONTACT

Feel free to reach out to me for employment opportunities, or to discuss any innovative projects related to robotic perception, 3d reconstruction and SLAM, and data science.
Email: contact@lucasniewohner.com

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