Abhishek Nayak
Senior Software engineer, The MathWorks Inc.
Massachusetts, US
Technical Skills
- Programming: C++, Python, MATLAB, ROS, git, Perforce Helix
- Libraries: OpenCV, scikit-learn, XGBoost, NetworkX, NumPy
- Packages: Gazebo, Keras, pyTorch, TensorFlow
- Design: CREO Parametric, Solidworks, AutoCAD, CATIA v5
- Solvers: CPLEX, Gurobi
- Other: LATEX, Simulink, AVL Cruise, Linux, Adobe Photoshop
Education
- PhD. Mechanical Engineering, Texas A&M University, College Station, Texas, USA 2022
- M.S. Mechanical Engineering, Texas A&M University, College Station, Texas, USA 2019
- B.Tech. Mechanical Engineering, National Institute of Technology Karnataka (NITK), Surathkal - India, 2014
Experience
The MathWorks Inc.
Senior Software Engineer, Natick, Massachusetts, 2023-present
Joulea Inc.
Autonomous Systems Engineer, Atlanta, Georgia, 2022
- Led the efforts towards developing a fully autonomous unmanned aerial system (UAS) capable of infrastructure inspections for energy conservation in a GPS-denied urban environment.
Texas A&M Transportation Institute (TTI)
Graduate Research Assistant, College Station, Texas, 2018-2021
- Reference Machine Vision for ADAS functions
- Response of Autonomous Vehicles to Emergency Response Vehicles (RAVEV)
Texas A&M Engineering Experiment Station
Graduate Research Assistant, College Station, Texas, 2017-2022
- Heuristics and Reinforcement learning models for motion constrained multi-agent vehicle routing problems.
- Infrastructure Enabled Autonomy (IEA).
- Multi-Agent SLAM, motion planning, and navigation using ROSBots.
- Motion planning algorithms for robots in the presence of obstacles.
- Simultaneous Localization and Mapping (SLAM) in a crowded urban environment using UrbanNav Dataset.
- Low-cost drive-by-wire system for Ford focus.
- Lyft Motion Prediction for Autonomous Vehicles.
TVS Motor Company
Member R&D, Hosur, TN, India, 2014-2017
- Developed mathematical models of powertrain components using MATLAB and performed HIL testing and verification.
- Designed powertrain components using CAD design software, investigated system dynamics, and performed performance testing on TVS & BMW Engines.
- Collaborated with cross-functional teams on new product development; handled sensor procurement by interacting with suppliers.
Certifications
- Self-Driving Cars Specialization, Coursera, Apr 2022 [Certificate]
- Deep Learning Specialization, Coursera, Sep 2020 [Certificate]
- CREO Parametric, CADD Centre, Aug 2015 [Certificate]