HELLO,
I'M LUCAS NIEWOHNER

ROBOTICIST

DATA SCIENTIST

PERCEPTION ENGINEER

PORTFOLIO

I'm Lucas Niewohner - a 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

DOWNLOAD RESUME

Skills

Object Detection I've deployed several Neural Computer Vision models, particularly Object Detection and Segmentation	Prototyping I've built my fair share of well-refined systems, but my heart lies in scrappy prototyping. Pictured is a (very) early prototype for a robotic powerwasher unit.
Databases and Grafana I employed SQL and Grafana visualizations to debug robot issues at Scythe Robotics.	Electrical Systems I'm skilled at designing and assembling small-scale robotic electrical setups.
Array and Panel Extraction Geopandas and manipulating geographical data; I've used it to extract a whole host of useful things. Like this solar array extract for automatic job site preprocessing from satellite imagery.	Complex Data Science One of my favorite Data Science projects involved creating a predictor for ski trail difficulty and using it to highlight differences in how ski resorts rate trail difficulty.
SLAM and 3D Reconstruction I've applied both Visual and Laser-based SLAM for several robots, including this low-detail "stargazing" implementation.	LIDAR SLAM Pictured is an implementation I created for Iterative Component Registration (ICP).
Fleet Management I investigated and fixed problems with large numbers of robots at Scythe.	Control Systems Everything from PID loops to (simple) nonlinear control systems.
Getting Dirty I'm experienced with it	Neural Networks
Computer Vision	SLAM
Failing As part of my passion for designing new and innovative systems, I've gotten very good at failing. You can see how often I've managed to get back up and create awesome things because of it.	ROS 2 Navigation and Localization Pictured is a (RViz Visualization of a) Gazebo simulation environment being used to test a VSLAM localization system.
Visualizations	Linux and Docker
Mentoring I'm often complimented for my ability to instruct and to explain difficult concepts in a simple way.	Traveling
Collaboration I'm highly experienced with participating in and leading teams of all types, from numerous company teams to robotics teams like the one pictured.	Underwater Robotics I participated in 4 years of underwater robotic submersible development through the MATE ROV Competition at Mines.
Prototype Hardware As an experienced roboticist, I've developed system software for numerous embedded platforms ranging from the Intel NUC, to NVIDIA Jetsons, to simple Raspberry Pis.	Very Complex Games For better or worse, I enjoy solving complex logistical challenges in games like Factorio and GTNH in (some of) my free time.
Less Serious Things My greatest accomplishment might be this photo of me (in a banana suit) with the president of my University - on his official Instagram Account.

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

HELLO, I'M LUCAS NIEWOHNER

Skills

Object Detection

I've deployed several Neural Computer Vision models, particularly Object Detection and Segmentation

Prototyping

I've built my fair share of well-refined systems, but my heart lies in scrappy prototyping. Pictured is a (very) early prototype for a robotic powerwasher unit.

Databases and Grafana

I employed SQL and Grafana visualizations to debug robot issues at Scythe Robotics.

Electrical Systems

I'm skilled at designing and assembling small-scale robotic electrical setups.

Array and Panel Extraction

Geopandas and manipulating geographical data; I've used it to extract a whole host of useful things. Like this solar array extract for automatic job site preprocessing from satellite imagery.

Complex Data Science

One of my favorite Data Science projects involved creating a predictor for ski trail difficulty and using it to highlight differences in how ski resorts rate trail difficulty.

SLAM and 3D Reconstruction

I've applied both Visual and Laser-based SLAM for several robots, including this low-detail "stargazing" implementation.

LIDAR SLAM

Pictured is an implementation I created for Iterative Component Registration (ICP).

Fleet Management

I investigated and fixed problems with large numbers of robots at Scythe.

Control Systems

Everything from PID loops to (simple) nonlinear control systems.

Getting Dirty

I'm experienced with it

Neural Networks

Computer Vision

SLAM

Failing

As part of my passion for designing new and innovative systems, I've gotten very good at failing. You can see how often I've managed to get back up and create awesome things because of it.

ROS 2 Navigation and Localization

Pictured is a (RViz Visualization of a) Gazebo simulation environment being used to test a VSLAM localization system.

Visualizations

Linux and Docker

Mentoring

I'm often complimented for my ability to instruct and to explain difficult concepts in a simple way.

Traveling

Collaboration

I'm highly experienced with participating in and leading teams of all types, from numerous company teams to robotics teams like the one pictured.

Underwater Robotics

I participated in 4 years of underwater robotic submersible development through the MATE ROV Competition at Mines.

Prototype Hardware

As an experienced roboticist, I've developed system software for numerous embedded platforms ranging from the Intel NUC, to NVIDIA Jetsons, to simple Raspberry Pis.

Very Complex Games

For better or worse, I enjoy solving complex logistical challenges in games like Factorio and GTNH in (some of) my free time.

Less Serious Things

My greatest accomplishment might be this photo of me (in a banana suit) with the president of my University - on his official Instagram Account.