Resume
Systems engineer with aerospace training and a hands-on focus on robotics, autonomy, and software-heavy systems.
Download PDF (coming soon)Location
Greater St. Louis · Open to remote-friendly collaboration.
Core strengths
- Systems Integration
- Trade Studies
- Robotics Prototyping
- Vision + ML
Looking for
Teams shipping autonomy-driven products that need disciplined systems engineering and rapid prototyping.
Experience
Systems Engineer — Boeing
System-level reasoning, interface definition, and trade studies for aerospace programs. Focused on translating high-level requirements into implementable technical solutions.
Design Engineering Intern — Young & Franklin Tactair
Investigated non-conformances, modeled load paths, and validated design changes with physics models and ANSYS/MATLAB comparisons. Built automation tools to reduce report time.
Engineering Intern — Howmet Aerospace
Built HMI/SCADA workflows, automated inspection data pipelines, and delivered SQL-backed reporting tools for quality and throughput visibility.
Test Engineering Intern — Bridgestone Americas
Designed Excel/VBA tools to automate endurance test reporting from high-volume time series data and ensured compliance with test standards.
Data Insights Intern — Bridgestone Americas
Audited NLP sentiment pipelines, analyzed customer survey data, and built MATLAB ML models to predict retention and satisfaction.
Education
Purdue University
Focus Areas
Historical Perspective
A short timeline of how the work evolved from early robotics and software into systems engineering.
2013–2014 · Early curiosity
Started Chinese, joined First LEGO League, learned basic block programming, and placed in environmental science at a school science fair.
2016 · First real software build
Completed a C# coding camp, built a simple tic‑tac‑toe game, and began contributing to robotics with CAD and Java experimentation.
2017 · Robotics leadership + entrepreneurship
Started a new robotics team, mentored younger members, advanced CAD practices, and explored entrepreneurship through LaunchX and early web work.
2018 · Deeper systems thinking
Scaled the LaunchX club, intensified robotics iteration, and expanded into C++ and advanced physics coursework.
2019 · Robotics peak + data science internship
Led top‑ranked robotics performance in NE Ohio, implemented PID control and localization, and built ML models at Bridgestone for customer retention prediction.
2020 · Hardware‑software integration
Prototyped a boxing robot with Arduino + Bluetooth, began PCB design, and advanced manufacturing with CNC/CAM alongside aerospace coursework.
2021 · Systems + controls
Signals processing in Python, controls theory, additive manufacturing design, and test engineering work with large‑scale data pipelines at Bridgestone.
2022 · Advanced systems modeling
System‑of‑systems modeling, optimization, safety/reliability methods, spacecraft dynamics, and senior design focused on orbital risk and mission analysis.
2023 · Industrial software + automation
Developed HMI/SCADA tooling, automated inspection data flows, and delivered engineering dashboards; completed a design engineering internship focused on modeling and validation.
2024–Now · Systems engineering at Boeing
Apply systems thinking, interface analysis, and trade studies on complex aerospace programs while building robotics and vision‑centric side projects.
About
I am an aerospace engineer by training (B.S. + M.S. at Purdue University) and currently a systems engineer at Boeing. My strength is in systems thinking, integration, and design engineering—translating high‑level requirements into implementable technical solutions. I am increasingly focused on bridging traditional systems engineering with software‑heavy, autonomy‑driven products.
Outside of work, I build end‑to‑end systems that combine software, hardware, and applied AI. My projects emphasize real‑world constraints, integration challenges, and measurable outcomes rather than isolated demos. Key interests include robotics, autonomy, embedded systems, computer vision, and iOS as a user‑facing control layer.
I value clean architecture, thoughtful tradeoffs, and systems that are reliable and maintainable. For my portfolio, the goal is evidence: clear demonstrations of how I think, what I build, and how I approach complex systems.