Omkar Govind Phadale

• Trained and benchmarked the Transfuser autonomous driving model using PyTorch, CARLA, using LiDAR, and camera data across 36 evaluation routes. • Implemented multi-modal camera-LiDAR sensor fusion and transformer architectures for urban path planning and local waypoint prediction. • Developed Python and Matplotlib visualizations for qualitative analysis of global navigation routes and local trajectory predictions. • Achieved 70% route completion in 36 benchmark routes, for robust autonomous navigation.

• Developed Python scripts for automated analysis and visualization of large-scale CSV and MAT datasets. • Built Streamlit-based analytics tools for interactive exploration of traffic participant data. • Designed comparative visualizations and performance metrics to support technical documentation and reporting. • Prepared and validated autonomous driving datasets for simulation-based testing and evaluation workflows.

• Supported analysis of test results and preparation of documentation for ADAS components • Performed data analysis and visualization of ultrasonic benchmarking data using MATLAB/Octave • Assisted benchmarking processes for ultrasonic sensors and collaborated on KPIs with the technical team • Conducted market research and prepared reports on technology trends and competitor products

• Designed and validated electro-pneumatic automation systems for a production line with a throughput of 27,000 electrodes/month. • Performed prototype testing and functional validation to ensure manufacturing readiness and operational reliability. • Coordinated project activities across design, prototyping, and validation phases for industrial automation solutions.

Autonomous Systems, Control Engineering, E-mobility, Automotive Software Systems Engineering

Automotive, Mechatronics