Travis Jankowski

Computer Science Student & Software Engineer

Building the future with code

About Me

Hi! I'm a Computer Science senior at the Milwaukee School of Engineering with over 4 years of industry experience across software engineering, artificial intelligence, and cybersecurity.

My journey with technology started when I got my first computer at age 10. From learning HTML and JavaScript in middle school to developing enterprise applications at Cognex Corporation, I've been passionate about using technology to solve real-world problems.

Currently, I'm working as an AI Engineer at Juno, where I build sophisticated AI agents using LangGraph to accelerate tax preparation processes for CPAs. I'm also actively involved in student organizations as President of Midnight Robotics and Webmaster of AI Club at MSOE.

I'm dedicated to continuous learning and growth, always excited to explore new technologies and take on challenging projects that push the boundaries of what's possible.

Travis Jankowski

Quick Facts

  • B.S. Computer Science, MSOE (Expected May 2026)
  • AI Engineer at Juno
  • 4+ years industry experience
  • NVIDIA Deep Learning Certified
  • President, Midnight Robotics
  • Webmaster, AI Club

Technical Skills

Programming Languages

Python
Expert
JavaScript
Expert
TypeScript
Advanced
C++
Advanced
Java
Advanced
C#
Intermediate
SQL
Intermediate
Kotlin
Intermediate
Rust
Beginner

Frameworks & Libraries

Angular.js
Advanced
React.js
Advanced
Node.js
Advanced
PyTorch
Advanced
TensorFlow
Intermediate
Keras
Intermediate
LangChain
Advanced
LangGraph
Advanced

Tools & Technologies

Git
Expert
AWS
Intermediate
Terraform
Intermediate
Linux
Advanced
Docker
Advanced
Agile/Scrum
Advanced

Professional Experience

September 2025 - Present

Artificial Intelligence Engineer

Juno • Milwaukee, WI

Using LangGraph to build sophisticated AI agents that accelerate the tax preparation and tax review processes for CPAs. Adding functionality to analyze and compare previous year's tax returns with current year's return to verify optimal tax strategy is utilized including application of carryover losses and other factors.

  • Developed AI agents using LangGraph for automated tax preparation workflows
  • Built tax return analysis systems to optimize tax strategy implementation
  • Integrated carryover loss analysis and compliance verification features
November 2022 - September 2025

Software Engineer Intern

Cognex Corporation • Milwaukee, WI

Web UI Scrum Team: Drove full-stack feature development by building scalable Angular.js interfaces and integrating them with robust Python backend APIs. Built features that provide powerful customization for customer devices enabling complex code reading and automation workflows.

Testing & CI Scrum Team: Engineered functional and integration tests for product software using Python, C#, and C++ and used testing to verify supported features before product releases. Reduced build wait times by up to 40% through refactoring tests and extending build infrastructure.

  • Developed scalable Angular.js front-end applications with Python backend integration
  • Built custom device configuration interfaces for automation workflows
  • Reduced CI/CD build times by 40% through test optimization and infrastructure improvements
  • Created comprehensive test suites using Python, C#, and C++
June 2021 - July 2022

Information Technology Intern

Kaukauna Utilities • Kaukauna, WI

Provided systems administration and network support for 150+ staff and managed over 1,000 assets. Assisted in maintaining Geographic Information System services and hardening assets to prevent security incidents. Fulfilled user requests and reduced ticket backlog by 30%.

  • Managed IT infrastructure for 150+ users and 1,000+ assets
  • Implemented cybersecurity hardening measures following government standards
  • Maintained GIS services for utility operations
  • Reduced help desk ticket backlog by 30% through efficient issue resolution

Featured Projects

Hydro Turbine-Generator Control System

Senior Capstone project for L&S Electric designing an intelligent control system to automate hydro turbine-generator tuning. Uses machine learning to optimize control settings in real-time for enhanced performance and reliability.

Machine Learning Embedded Systems Control Systems Real-time Processing

Lab Materials Volume Predictor

1st Place winner at Innovation Lab Competition. Desktop application using segmentation and regression neural networks to predict container volumes from images with 90% accuracy for Brady Corp.

Computer Vision Neural Networks Image Segmentation Desktop App

Legal Agent Benchmarking Framework

Data Science Practicum project with Obviate AI developing a novel framework for evaluating LLM agents in legal contract analysis. Created open-source web application for benchmark execution and comparison.

LLM Evaluation Web Application Legal Tech Open Source

Autonomous Tax Review Agent

3rd place winner at Innovation Lab Competition. Developed an AI agent application for TruePrep AI that cross-checks tax documents and returns to ensure correct data entry and optimize tax savings. Achieved over 90% accuracy in detecting errors and inefficiencies using mock tax data.

AI Agents Tax Technology Document Analysis Error Detection CPA Tools

Museum Exhibit Accessibility Aid

2nd place winner at Hacksgiving Hackathon. Mobile application for Discovery World visitors that senses nearby exhibits using ESP32 Bluetooth beacons. The app leverages LLM agents with vector database access to make exhibits more accessible based on visitor's age, native language, and disability information.

Mobile App LLM Agents ESP32 Bluetooth Vector Database Accessibility

Homelab Infrastructure

A comprehensive homelab built on a budget, featuring opnSense firewall, TrueNAS Core storage with 24TB capacity, and Proxmox VE virtualization. Includes secure remote access via ZeroTier VPN and Oracle Cloud reverse proxy for public service hosting.

opnSense Proxmox VE TrueNAS Core ZeroTier Oracle Cloud ZFS

Get In Touch

Let's connect! I'm always interested in discussing new professional and educational opportunities.