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Chinmay
Ph.D. Student in Mathematics | Deep Learning | Computer Vision | EE Architecture | Sensor Fusion
About
Chinmay is a Ph.D. student in Mathematics with a research focus on Deep Learning, Computer Vision, and High-Performance Computing. He has over 5 years of research experience in devising, developing, and testing deep learning and computer vision algorithms for autonomous navigation and several other ADAS features. Chinmay's core competencies include coding/scripting languages such as C, C++, and Python, along with skills in Machine Learning, Computer Vision, Image Processing, Robotics, Sensor Fusion, Algorithm Development, Automotive Research, EE Architecture, Battery Electric Vehicles, and Autonomous Vehicles. He is proficient in using tools/IDE such as Caffe, Tensorflow, PyTorch, MATLAB, ROS, Vivado, Xilinx ISE, Simulink, SysML, and UML, and has experience working on operating systems such as Windows and Linux. Currently, Chinmay is a Ph.D. candidate at hipert-lab, where he continues to work on his research focus. In the past, he has worked as a Senior ADAS Engineer - DL/CV at Faurecia, where he developed deep learning and computer vision algorithms for ADAS features such as Auto Valet Parking, Pedestrian/Vehicle Detection, Moving/Stationary Object Detection, 3D Surround View on Renesas V2H/V3H, and TI TDA4VM hardware platforms. He has also worked on the ADAS system and Data Fusion algorithm development using Cameras and Ultrasonic sensors and developed vehicle control logic for ADAS features like Auto Parking using Data Fusion and behavior prediction logic. Prior to Faurecia, Chinmay worked as a Research Engineer Advanced Electrical Engineer Systems Architecture at Ford, where he conducted research on next-generation electrical distribution systems, circuit design, wiring harnesses, power distribution, and vehicle networking (CAN, LIN, and Ethernet). He also completed a Ford-sponsored program on “Architecture and System Engineering: Models and Methods to Manage Complex Systems” offered by Massachusetts Institute of Technology (MIT) and completed industrial training certifications in SysML, Functional Safety, Hazard Analysis, and Risk Management. Chinmay has an impressive educational background, including a Doctor of Philosophy - PhD in Mathematics from Università degli Studi di Parma, a Master of Science (MS) in Electrical Engineering from California State University, Fullerton, and a Bachelor of Engineering (B.E.) in Electronics and Telecommunication Engineering from Savitribai Phule Pune University. He also holds a
Education
• universit degli studi di parma
• california state university fullerton
• savitribai phule pune university
• maharashtra institute of technology
Companies
• hipertlab
• faurecia
• ford
• blue planet energy systems llc
• forbes
• california state university fullerton
• pacific semiconductors pvt ltd
Experience
2.4 Years
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Experience
Research Engineer Advanced Electrical Engineer Systems Architecture
ford | Dearborn, Michigan, United States
2019 - 2020
Skills
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Algorithms
architecture
Automotive
C (Programming Language)
C++
Circuit Design
Computer Vision
Deep Learning
Design
Hardware
Image Processing
linux
Logic and Reasoning
Machine Learning (ML)
matlab
Networking
Object detection
optimization
Product Development
Python
Pytorch
Research
Research Scientist
Risk Management
Robot Operating System (ROS)
Robotics
Simulink
Software Engineer
systems engineering
Tensorflow
test
testing
UML
Unified Modeling Language (UML)
Vision
Windows
Xilinx
Xilinx ISE
Contact Details
Email (Verified)
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727XXXXX01Education
universit degli studi di parma
Doctor of Philosophy - PhD
2021 - 2025
california state university fullerton
Master of Science (MS)
2016 - 2018
savitribai phule pune university
Bachelor of Engineering (B.E.)
2012 - 2016
maharashtra institute of technology
Diploma
2009 - 2012
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