CURRICULAM VITAE

Souvik Bose Mobile: +919*********

Email:adc7tn@r.postjobfree.com

Bangalore, India

SUMMARY

COMPETENCE OVERVIEW

Specialist Area Advance Driver Assist Systems, ADAS Architecture, ADAS MAP Database Techniques Root-cause Analysis, Performance Validation, Decision-making & Requirement changes, Data Analytics, Component & Subsystem Validation, Hardware in Loop Simulation, NCAP Validation, Automation, Machine Learning, Computer Vision, Big Data

Communication Protocol CAN, LIN, Flexray, GMLAN, Diagnostic services Tools Vector-CANoe, IPG-CARMAKER, dSPACE-Control desk, MATLAB, Simulink, Xtool, DOORs, Issue Tracking tools

(ESIMS, PRTS+)

Programming Python, OpenCV, TCL Script, Vector-CAPL, Java, Hadoop/MapReduce/Spark/Scala(ongoing) Features Lane Change on Demand (LCOD), Lane Centering Control (LCC), Full Speed Range Adaptive Cruise Control

(FSRA/ACC), Collision Imminent Braking (CIB), Forward Collision Alert (FCA), Following Distance Indicator

(FDI), Pedestrian Notification/Alert (PED), Lane Keep Asist (LKA, LDW), SBZA (Side Blind Zone Alert), LCA

(Lane Change Assist), RCTA (Rear Cross Traffic Alert) PROFESSIONAL EXPERIENCE

Oct 2019 – Current Assistant Consultant, Tata Consultancy Service (TCS) 1. Leading one Advanced Technology Work (ATW) – ‘Wrong Way Detection’ feature for GM Vehicle. 2. Technical Guidance to Active Safety Data Analysis Team 3. Data analysis for Lane Change on Demand Feature (LCOD) for GM Vehicle 4. Developing strategy for analysis of High Definition Lane Map May 2009 – Sept 2019 Lead Engineer, General Motors (GM) 1. Validation and Successful launch of GM Super Cruise Cadillac vehicle in US & China 2. Developed solutions to analyze massive Vehicle data, automate data analysis and validation processes

3. Ensured project milestones are met according to GM-GVDP timeline 4. Proposed & Implemented requirement changes in Technical specifications 5. Interacted with stakeholders (Feature Owner, DRE, Functional Safety, Ring Owners, Suppliers) for impact Analysis & root causing vehicle issues which leads to 50+ Safety and 200+ Performance issues resolution

6. Lead Automation Team for Optimization which resulted in increase of efficiency ranging from 10- 40%

7. Improved current test set up and method through Machine Learning 8. Developed Tools which are used as offline & Real-Time in vehicle for Vehicle Performance 9. Member of GM Internal Training Team and provided 1000+ hrs of trainings 10. Benchmarked two competitive vehicles (Honda & Maruti) in India Jan 2009 – April 2009 Software Engineer, Delphi Automotive Project Description: Functional Validation of Instrument Panel Cluster (IPC) for Mahindra & Mahindra Vehicle.

Passionate, Creative & Diversified Technical Consultant in Advance Driver Assist Systems. Skilled in Developing & Validating ADAS features, with expert knowledge in ADAS architecture, Machine Learning and Big Data. Having 14+ years of experience in Automotive Industry with experience in working in different countries (USA, Germany, China). Self-Learner and ability to stay on top of Technology trends

Pursued Bachelor of Engineering in Electronics & Communication with certification and courses on Python, OpenCV, Machine learning, Hadoop/MapReduce/Hive/Pig/Spark/Scala(ongoing) Completed Task: Developed Test plan & Automation of test cases March 2006 – Nov 2008 Engineer, General Motors (GM) Project Description: Failsafe Testing of EBCM, EPS, SADS, RDCM ECU through Hardware-in-Loop (HIL) methodology

Completed Task:

1. Developed Driving Scenarios through CarMaker

2. Test Plan Development

3. Automation & Validation

Project Description: Develop Tool for validation of GMW3110, GMW14241 Completed Task: Developed Diagnostic and GMLAN Validation Tool through CAPL Script EDUCATION CERTIFICATES I PUBLICATIONS RECOGNITION TRAINING 2001 – 2005

EDUCATION

Bachelor’s degree in Electronics & Communication

University Institute of Technology, Burdwan University (First Class Honors, TCPA-80.3%) CERTIFICATION (In progress)

2019 – 2020(Feb) BIG DATA & Hadoop, MapReduce, Hive, Pig, SPARK & SCALA 2014

DataFlair

Black Belt in Design for Six Sigma

General Motors

PUBLICATION

2019 Paper on “Vision based solution for auto- maneuvering of vehicle for emerging market” Paper no - 2019- 28-2517

2015

2010-2019

SAE International

Paper also published in SAE International Journal of Advances and Current Practices in Mobility Presented paper on “ADAS in India Vs North America” SIAM connected vehicles workshop

Presented Paper on ‘Hardware in Loop methodology for Active Safety Features’ dSPACE User Conference in 2015

RECOGNITION

‘Individual Excellence’, ‘Certificate of Recognition’, ‘Nice work Award’, ‘Certificate of Appreciation’, ‘Pat on the back’

General Motors

TRAININGS

2018 – 2019 Python for Data Science & Machine Learning Bootcamp Python for Computer Vision with OpenCV & Deep Learning Machine Learning A-Z

Udemy

PERSONAL INFORMATION

Personal Qualities Passionate, Lifelong learner, Creative, Result-oriented, Multi-tasking, Decision Making Interests and hobbies Adventure Sports (Paragliding-Club Pilot, Trekking, Canyoneering-Level II) Languages English, Hindi, Bengali

Driving license Yes

Nationality Indian

Other Married with one Kid

Year of Birth 1983

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