It is amazing have autonomous agents can replicate human behavior using AI to create technology that can not only be safer but can reduce human efforts. I draw my motivation from these little scientific AI agents.
Experience
San Francisco Bay Area
Lead Simulation pipeline development to support Platform teams by integrating ADP tool using c/c++.
Generate synthetic datasets by creating scenarios for ML training and replay in linux and gcp Virtual Machines.
Close the loop between Platform and simulation and seamlessly integrate simulation workflow using c++.
Develop sensor simulation for cameras, lidar and radars and generate synthetic datasets by seeding scenarios.
Silicon Valley, California, United States
Lead Simulation pipeline development to support Perception, Localization, Decision, and control teams.
Lead scenario generation and vehicle dynamics in simulator for various features considering ODD.
Lead 3D simulation development using NeRF (Neural Radiance Field) for synthetic data generation.
Automate simulation environment with CAN, FlexRay and Ethernet using python unittest, pytest for sanity tests.
Automate test scripts for scenario generation and test runs for all Automated driving features within the company.
Integrate simulation environment with AD stack in Docker container and generate bash/shell scripts to automate the process of extraction and integration.
Lead simulation pipeline development using GitHub, Jenkins, s3 bucket, AWS lambda, AWS batch and simulator.
Deep dive into literature review to support ongoing research in Automated driving to support development.
Improve planner and localization algorithms by integrating C/C++/Python and yaml scripts to existing AD stack.
Test and improve GPU performance for AD stack, integrate ROS and improve MLPerf for NVIDIA Orin and A6000.
Develop systems requirements and engage in systems integration using CANoe, CANalyzer and Wireshark and work with sensors such as lidar, radar, cameras.
. Integrate sensors and software packages into Data Collection and work on vehicles to test them.
Allen Park, Michigan, United States
Lead Ford Automation System Simulation toolchain development with Matlab/Simulink, XML, Jenkins, GitHub.
Successfully simulated ADAS features by virtue of sensor fusion between cameras, radars, ultrasonic sensors, IMU.
Developed/generated/debugged C++ code for vehicle simulation, embedded control software and testing for ECU's.
Hands-on experience developing road scenarios and vehicle dynamics in Carmaker, Unreal Engine, MATLAB driving Scenario, Mathworks VDBS, dSpace motion desk/control desk.
Modeled BMS and simulink model for battery testing in HiL lab environment in dSPACE.
Successfully led BEV dyno closed loop solution with automated driver in ROS built with Raspberry Pi in Python.
Effectively trained/managed intern, reduced signoff by ~ 100K to 200K dropped test value from 500k to 60K.
Working knowledge of automotive standards ISO26262, OpenDrive, OpenScenario.
Achieved training of objects on IPC for using Image Pre-Processing Software such as NI Vision Builder AI.
Kalamazoo, Michigan Area
Model-based Analysis of Hybrid Electric Vehicle considering the optimal energy management Techniques
Developed forward-looking velocity driven Hybrid Electric vehicle model in Matlab/Simulink and implemented control algorithm to simulate battery, PMSM model and common powertrain model.
Accomplished optimized PM synchronous motors, Engine and battery model to achieve reduced fuel economy.
Proficient in curve fitting and optimization of engine maps and efficiency look-up tables, monitored State-of-charge of battery at different modes of operation.
Proficient in Engine control loops (A/F ratio control, EGR, Intake & Manifold, Valve timing control) and combustion processes, Transmission control, Idle speed control.
Tuned PID controller for optimal energy management and investigated initial SOC level for flat and hilly terrain.
Achieved reasonable level in SOC to maintain battery stability and fuel economy improvement.
Simulated vehicle model on offline simulator considering typical operating conditions for various gear ratios.
Calibrated vehicle model on ETAS INCA-SIP to relate controller outputs with engine model outputs to obtain best results for fuel consumption and emissions.
Actively improving Adaptive cruise control strategy for HEV's.
Kalamazoo, Michigan Area
Responsible for Vehicle Dynamics model and assembly of parts for solar-electric car in WMU Sunseeker Team for American Solar Challenge 2018.
Designed battery housing in Catia V5 which is 26% lighter and 35% efficient compared to Sunseeker car 2016.
Designed and developed 3D metal printed dashboard that is 20% lighter in Pro-E.
Assembled solar panels, MPPT’s, Camera, LCD display. Developed battery packs 30% more efficient.
Performed Finite Element Analysis on battery box, suspension mounting, shock mounting structure.
Involved in wiring for CAN bus from controllers to battery pack, Telemetry controller, Driver Controller, Display interface, RF modem in solar electric car.
Education
Western Michigan University
Master's degree
Narayana Junior College KPHB, Hyderabad
Science
Rajarambapu Institute of Technology, Rajaramnagar, SAKHARALE