
Tejas Hadkar
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Tejas Hadkar
Concepts, Design and Software Development Software implementation of derived concepts in autonomous driving using C++, Wrappers for third-party libraries, Parallel Programming using CUDA, Project Management Tools: Confluence, Jira, Bitbucket, Bamboo Source Code Management tools: Git, Winmerge Unit testing using gtest C++ framework
- 8 Monate, Okt. 2017 - Mai 2018
Master Thesis Student
BASELABS GmbH
Segmentation of 3D point clouds from a LiDAR using deep neural networks 1. Simulation of Velodyne LiDAR sensor using Unity game engine 2. Generate dataset using developed LiDAR simulator 3. Analyze, Clean and prepare dataset 4. Development of Deep Neural Network model and train for multiple object detection and localization 5. Test and Evaluate developed model
- 2 Monate, Aug. 2017 - Sep. 2017
Research assistant
Professur für Nachrichtentechnik, Technische Universität Chemnitz
Prediction of Lane Change Maneuver of driver using head movements and glances Responsible for : - Select features from collected measurements - Cleanse, order and reshape data - annotate and pre-process data for trainng - build Recurrent Neural Network model - train it using developed dataset with the help of GPU - Analyze and evaluate results
- 7 Monate, Nov. 2015 - Mai 2016
Werkstudent
Technische Universität Chemnitz, Professur Mess- und Sensortechnik
Responsible for analyzing response and performance of newly fabricated raw humidity sensors. Measurement automation is achieved by controlling LCR meter from NI LabVIEW. For calibration purpose an industrial sensor unit is interfaced with Arduino over I2C bus and measurements are captured in csv files from LabVIEW connected to Arduino over GPIB bus. Measurements were studied and analyzed for fast response time, good range of electrical signal and reproducibility. ISBN 978-3-00-054047-9
- 2 Jahre und 3 Monate, Dez. 2012 - Feb. 2015
Quality Assurance Engineer
Ness Technologies
Ausbildung von Tejas Hadkar
- 3 Jahre und 2 Monate, Apr. 2015 - Mai 2018
Embedded Systems
Technische Universität Chemnitz
- Image Processing and Pattern Recognition - Design of Heterogeneous Systems - Real Time Systems - Design of Software for Embedded Systems - Software Platforms for Automotive Systems - EDA Tools - Hardware-Software Co-design - Automotive Sensor Systems
- 2 Jahre und 10 Monate, Aug. 2009 - Mai 2012
Electronic Engineering
University of Mumbai
Microprocessors, Micro-controllers, Digital Electronics, Microelectronics, Computer Organisation and Architectures
Sprachen
Englisch
Fließend
Deutsch
Gut
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