- Fully responsible for and led the ground up redesign of the hand controller gimbal system.Addressed critical mechatronics failure points in previous design and guided the entire redesignprocess through six design iterations through to end product. Completed 25% faster than initiallyexpected, reducing timeline from 8 months to 6 months. Sourced new hardware components, 3DCAD with SolidWorks, FEA with SolidWorks, prototyping with 3D printed components, and finallycoordinated with an overseas manufacturer to 3D SLM print and CNC.- Developed Beckhoff real-time PLC backend programs to control and operate neuroArm Plus handcontroller system. Responsible for TCP communication with remote manipulator robot, forwardkinematics, and inverse statics calculations for measuring position, orientation, and active weightcompensation.

- Developed automated Python and Shell scripts to monitor and log data across DGX datacenter systems. Outputted results and data trends in Splunk dashboards. Eliminated manual monitoring of DGX systems, and provided at-a-glance status of server room health- Designed and prototyped a rack traversing robotic system to monitor server systems in real time with up to date rack location. Provided a contactless solution through NFC technology to detect device presence and read critical system information. - Created data analysis scripts to accept large sensor log files and generate a configurable output plot. Streamlined the validation process for DGX systems engineers and reduced tedious excel based actions.

- Utilized python and SQL to improve forecast accuracy and future proof the product. Usedmapping tables between legacy and current product IDs to apply post processing adjustmentson the ML outputs- Automated table entry and editing tasks with large datasets (1 million+ entries) to increaseworkplace efficiency and reduce down time between teams- Participated in bi-weekly Jira sprints and presented projects and deliverables to projectmanagers

- Wrote Python scripts to manipulate query data using numpy and pandas modules.- Used Altium PCB designer to create keyFOB tester (CADMUS) as well as developer kit- Wrote SQL queries on Google Big Query to gather data to monitor product launch/usage- Conducted QA testing with major FW release cycles to find and document bugs- Fed CAN data from CANalyzer to debug the CAN detection system on dev kit v1 - Programmed and modified vehicle keyfobs to integrate into Keyless product- Organized and led weekly team sprints on Jira

UWAFT is a student design team competing in the EcoCAR Mobility Challenge. The team is transforming a 2019 Chevrolet Blazer RS into an advanced carsharing vehicle. This means designing and installing a hybrid powertrain for better fuel economy, onboard sensors for self-driving capabilities, and wireless communication for innovative connected user features.- Performed LV load testing to establish baseline stock data for 2019 Chevy Blazer- Developed schematics using VeSys to document vehicle HV/LV systems- Created/Held Arduino workshop focused on electronics and analog/digital signals for new team members- Designed/built harnesses for BOSCH radars for autonomous driving.Researched and documented the integration process for the low-voltage vehicle systems:- Developed the schematic for overhead lights and system control switches, built the harnesses and integrated into the overhead sunglass panel- Assisted in developing schematics for communication between ECM, TCM and the DSpace MABx controller- Helped integrate electrical harnesses through crimping connectors, twisting CAN wires, and routing harnesses through the vehicle

- Collected samples for lab testing and evaluated quality control criteria before product was shipped. - Increased productivity by 2.5% by developing a faster, safer, more efficient forklift route.- Saved 30 seconds/run which equates to 2000 more pounds of rubber/day through Lean Manufacturing Techniques