Technical Project Manager for 4D High Resolution Imagining Radar

• Feb 2023 - Present

Software Architect for 4D High Resolution Imaging Radar

• Dec 2021 - Sep 2023

Working as a Software Architect for Next Génération Automotive 4D Imaging Radar. Leading Radar Detection and Tracking team.

Technical Lead - Product Development

• Jan 2019 - Dec 2021

Project : Radar and Camera Sensor Fusion(POC) ▪ Extract Radar Data from Dataset ▪ RSP1: Radar detections clustering using Machine Learning algorithms(KNN, SVM, DBSCAN) ▪ RSP2: Radar object formation using ML ▪ Radar object detection and classification using Deep Learning(CNN) Responsibilities : • Involved in Architecture Design • Implementation using C++, Python and TensorFlow • Studied various deep learning algorithms and implemented CNN architecture ▪ Kalman Filter for fusion of Radar and Camera Data Project : DashCam (AI-integrated software and hardware product) Developed Camera Based ADAS Features, ▪ Forward Collision Warning ▪ Lane Change Departure Warning Responsibilities : • Requirement Analysis • Involved in Software and functional Architecture design • Implementation using C++, Python and TensorFlow • Hands on OpenCV and image processing • Understanding various deep learning algorithms and implemented MobileNet-SSD architecture for object detection and classification • Performance measurements • Unit testing & result analysis activities • Brainstorming & implementing the ideas to demonstrate the functionality • Hands-on git Show less

Engineer

• Aug 2017 - Dec 2018

As a part of System Architecture Vertical Team, worked on following three projects, ▪ SimEvent (Discrete Event Simulation tool) ▪ System Composer (Architecture Design in Simulink) ▪ Autonomous Driving Validation Framework Modelling Responsibilities : ▪ Involved in Architecture design ▪ Functional and test strategy design ▪ Algorithm development and implementation using Model Based Design (MATLAB, Simulink, C++) ▪ Code generation using embedded coder ▪ Test Planning and test harness development Show less

Algorithm Developer at ADAS

• Dec 2014 - Aug 2017

Project : Sensor Simulation▪ Development and setup of simulation systems for software development and validation of assisted and highly automated driving functions▪ Developed the automotive Radar, Camera, Lidar sensor behavioral model in real world environment as well as in circuitry▪ Developed Kalman filter for RADAR Tracking(POC)▪ LIDAR point cloud and depth maps generation▪ Radar and Lidar sensor fusion(POC)Responsibilities :• Analyzing & clarifying the requirements• Architecture Design(Microsoft Visio)• Mainly credited for algorithm & concepts development• Implementation using Model Based Design MATLAB, Simulink , C++, Code generation using Embedded coder• Integration of model using S-functions• Model-in-Loop (MiL) and Software-in-Loop (SiL) testing by writing test harness and automated test scripts (unit test, system level tests)• Validation activities (Involved in-Lab activities)• Brainstorming & implementing the ideas to showcase the results using different visualization tools Show less

Algorithm Developer at ADAS

• Jan 2016 - May 2016

Project : Lane Change Departure Warning▪ Lane Detection using canny edge detector and Hough transform▪ Developed departure warning system Responsibilities :• Software and functional Architecture design• Implementation using C++, OpenCV• Creation of test cases & result analysis activities.• Involved in demo activities

Algorithm Developer at ADAS

• May 2015 - Dec 2015

Project : RADAR Architecture: RSP1 and RSP2▪ Extract radar detection(Peak List) from Radar Data Cube▪ RSP1: Radar Signal Processing 1, forming clusters from peak list using ML algorithms. ▪ RSP2: Radar Signal Processing 2, forming objects from clusters using ML algorithms.▪ Object classification using deep learning technique ie. CNN (POC)Responsibilities :• Involved in Architecture Design.• Implementation using MATLAB/Simulink, python(TensorFlow) & C++.• Code generation using embedded coder.• Hands on machine learning clustering algorithms (ie. KNN, SVM, DBSCAN) and compare the results.• Understanding various deep learning algorithms and implemented CNN architecture.• Unit testing and developing test harness• Hands-on MKS Show less

Researcher

• Aug 2013 - Nov 2014

Project: Speaker Diarization Responsibilities : - Developed a robust Speaker Diarization system for various datasets - Implemented ML algorithms (BIC, AIC, GMM, EM, Likelihood Ratio, SVM) in MATLAB - Created a user-friendly GUI and Test-Framework Project: Speaker Diarization Responsibilities : - Developed a robust Speaker Diarization system for various datasets - Implemented ML algorithms (BIC, AIC, GMM, EM, Likelihood Ratio, SVM) in MATLAB - Created a user-friendly GUI and Test-Framework