Jake Groszewski
San Antonio, TX LinkedIn
Experienced manufacturing engineer that has transitioned into software development.
Professional experience
Research Computer Scientist — Southwest Research Institute
August 2022 – Present
- Developed transportation management applications using C#, Python, Java, and C++
- Built and optimized cloud-native services on AWS for scalability and reliability
- Used AWS Cost Calculator to estimate service usage and optimize costs
- Designed and implemented external APIs enabling clients to securely extract system data
Manufacturing Engineering Specialist — L3Harris Technologies
May 2020 – June 2022
- Decreased cycle time by 37% through programming and development of a new robotic soldering station
- Developed Raspberry Pi Python GUI application for employee badge scans and ESD compliance
- Data mining of supplier quality and estimating data for cross-functional teams
- Managed capital equipment projects (e.g. bridge crane systems) from concept to implementation
Manufacturing Engineering Senior Associate — L3Harris Technologies
April 2018 – May 2020
- Quality data entry forms and databases via Excel VBA and Access for traceability and analysis
- Excel VBA add-ins to automate and error-proof data analysis
- Automated test report generation from database queries into MS Word (~1 hour/document savings)
- Engineering change requests/orders, floor layout redesigns, SOPs, training, 5S and safety champion roles
Manufacturing Engineering Technician — Harris Corporation
July 2017 – April 2018
- Automation and standardization with Excel VBA add-ins and label printing SDK integration
- Defective material returns processing; root cause analysis and corrective actions
Manufacturing Process Engineer — Hypertherm Inc.
April 2012 – July 2016
- Robotic automated cell with quality plan for automatic inspection (~200% output increase)
- Real-time pulse point TV monitors via Excel VBA
- Quality data collection, process capability studies, scrap reduction (2.5% to under 1.5%)
- Assembly press scrap reduction (~90%), GR&R and tool life studies
Education
Master of Science, Computer Science — Rochester Institute of Technology
January 2018 – May 2021 · GPA: 3.82/4.0 · Cluster: Intelligent Systems
- Dashboard camera accident prediction: LSTM model on SLAM and bounding box features
- IoT / GPS / anomaly detection: GPS to KML, noise reduction, ML classification of routes, DBSCAN clustering
- Capstone — speech synchrony: CNN + LSTM on Mel spectrograms for emotion recognition and speaker synchrony
Bachelor of Science, Mechanical Engineering Technology — Rochester Institute of Technology
2007 – 2012
Skills
Python, data analysis, VBA, databases, manufacturing systems, project leadership, continuous improvement.