V

Venkatasundarakumar T S

Software Engineer

Chennai, Tamil Nadu, India7 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in AI model deployment and video analytics.
  • Proficient in deep learning frameworks like TensorFlow and PyTorch.
  • Strong background in embedded systems and control systems design.
Stackforce AI infers this person is a specialist in Embedded Systems and Machine Learning for automotive applications.

Contact

LinkedIn

Skills

Core Skills

Embedded SystemsMachine LearningControl Systems Design

Other Skills

C++Deep LearningLinux Device DriverDebuggingGStreamerOpenVinoGDBGitMATLABSimulinkPythonOpenCVSensor Data AnalysisModel Predictive ControlVideo Processing

About

Software developer passionate to develop software for intelligent embedded systems. Experienced in working on various software stacks like AI software stack and platform software stack

Experience

7 yrs 3 mos
Total Experience
3 yrs 7 mos
Average Tenure
6 yrs
Current Experience

Intel corporation

Device driver engineer

May 2020 – Present · 6 yrs · India · On-site

  • Experience in developing AI model deployment and video analytics software stack using C++
  • Experience working with deep learning frameworks like Tensorflow and Pytorch
  • Experience in machine learning model optimization using OpenVino
  • Worked on video analytics pipelines using GStreamer and DLStreamer
  • Actively developed linux device driver for a communication layer for a embedded AI target
  • Extensive debug skills related to system programming like multithreaded programming and memory management
  • Worked on linux user space libraries and kernel space drivers
  • Worked on Yocto recipes, debian packaging scripts and docker containers
  • Experience woking with CMake build environment setup
  • Experience working with debuggers like GDB
  • Experience working on GIT version control
C++Deep LearningMachine LearningLinux Device DriverDebuggingGStreamer+4

Autodrive technologies

Model based developer

Feb 2019 – May 2020 · 1 yr 3 mos · India · On-site

  • Developed driver monitoring based accident alert system using deep learning and sensor data analysis
  • Worked on MATLAB/Simulink based algorithms for collision avoidance systems
  • Developed deep learning and OpenCV based image processing algorithms for face detection, landmark and head pose estimation
  • Experience in developing C++/Python software stack for various sensors like IMU, OBD, GPS to interface with ROS data collection system
  • Explored ensemble kalman filter algorithm for sensor fusion
  • Developed sensors based driver analytics for detecting various scenarios like harsh braking, lane departure warning
  • Explored path planning algorithms and motion models
Deep LearningMATLABSimulinkC++PythonOpenCV+3

Siemens industry software (india) private limited

Research Internship

Jun 2017 – Aug 2017 · 2 mos · India

  • Developed Model Predictive Control(MPC) strategies for trajectory planning of autonomous car
  • Utilized the dynamics of car and road profile for trajactory prediction and optimization
  • Hierarchical control structure with planning and tracking controllers
  • Developed controllers for varied performance index like shortest distance, most comfortable path,
  • minimum energy path etc.
  • Tools: MATLAB/Simulink, ACADO
Model Predictive ControlMATLABSimulinkControl Systems Design

Education

Anna University Chennai

Master's degree — Mechatronics

Jan 2016 – Jan 2018

Shanmugha Arts, Science, Technology and Research Academy

Bachelor's degree — Mechatronics

Jan 2012 – Jan 2016

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