Education:

Internship:

Uber ATG

• Software Simulation Intern (Autonomous Driving)
  May 2019 – Aug 2019, San Francisco Bay Area
  Lidar sensor Modeling/Simulation/Development (python) developed an in-house next-gen lidar simulation
  software package for specs fine tuning/design changes/prototyping (ray casting)
  Lidar point cloud data analysis (python)
  Realistic Map building for simulation (Unreal Engine)
  (Uber ATG Sim-Realism Team)
  

• Hardware Simulation Intern (Autonomous Driving)
  Jan 2019 – May 2019, San Francisco Bay Area
  Physics based Radar Sensor Modeling/Simulation/Reduced order simulation development.
  Developed a reduced order simulation model for radar, utilizing ANSYS HFSS for various actor types RCS data acquisition, Matlab for realtime simulation.
  (ANSYS HFSS SBR+, Matlab)
  (Uber ATG CAE team)
  

Siemens Healthinner

• Mechanical Engineering Intern (R&D ITT LAB)
  May 2016 – Aug 2016, Shanghai City, China
  CT factory RFID system implementation.
  C-arm Collision avoidance system prototype design.
  Patient table safety improvement design.
  

Graduate Research:

• DMDII project
  Reconfigurable retrofit sensor packages development for legacy CNC, Lathe, Mill machines to enhance machine sensing and data sharing capability. (IIoT, Edge Computing, MQTT)
  Sponsor companies: Caterpillar, Mazak, Cisco
  Sensor packages delivered and testing site: Caterpillar facilities, GT manufacturing lab.
  

• Delta project
  Aircraft composite (CFRP) joining and repair research. Lab fabrication CFRP samples for testing. FEA analysis tensile, bending, peeling. Defects modeling/simulations.
  

• Standing Breast CT device innovative design research
  Medical physics, Medical device, CAD Design and Modeling
  

Graduate Teaching:

• Head TA of ME 2110 class
  Led TA team for course design, course teaching and competition event hosting for four semesters.
  

Awards:

2020 ASME Hackathon 1st Place Winner, 2000$

• Topic “Machine Monitoring: Generating a Data-Driven Surrogate Model for Machine Damage Accumulation”
• Highest Prediction Accuracy with a 0.92 “R^2” on holdout data
• Highest Model Innovative Score for building a “LSTM + KNN + XGBoost” Hybrid Machine Learning Model using stacking method with feature engineering
• Gatech Daily Digest News, Certificate

2021 EGHI/GT HACK COVID-19 Hackathon Finalist Winner, Honorable Mention Prize 1500$

• Topic “WHYbrary – Automated knowledge storage platform to extract information from employee communication, allowing organizations to use their past to streamline their present and future business processes.”
• Certificate

Projects:

Please view the projects archive

There are also some fun/ developing phase projects archived here in my github organization gamer-ai, focusing on 3D visuals & interactions.