Sachin Manjunath

Experience

• 

  R. V. College of Engineering, Bangalore

  Aug 2015 - May 2016

  Placement Coordinator

  I have worked as Placement Coordinator for the department of Electrical and Electronics engineering in the final year of my Bachelor's degree and successfully carried out my responsibilities for almost a year. It helped me in improving my social skills, time management and the most important thing to take out of this experience is the exposure to the corporate culture as a student.

• 

  Robert Bosch Engineering and Business Solutions Private Limited

  Aug 2016 - Sept 2018

  Associate Software Engineer

  • Application software development in an Agile setup for Automotive Aftermarket on Kinetis K-70 using C• Development and implementation of Application bootloader with underlying MQX RTOS using C• Design and development of Bluetooth software module to extract DTC from OBD-2 scanner• Implementation, Unit testing and documentation of software modules by adhering to software development lifecycle

• 

  Technische Universität Chemnitz

  Nov 2019 - Mar 2020

  Student Assistant

  • First hand experience in Image processing techniques like Segmentation, Morphology etc using OpenCV• Generation of training data of 2000+ images using data augmentation• Implementation and Evaluation of an Object detection model in Tensorflow using transfer learning

• 

  AGT International

  Apr 2020 - Sept 2020

  Computer Vision Intern

  • Trained Pose-estimation models in Docker container using MobilenetV2 with predefined CI/CD configurations• Optimized TFlite models using post-integer quantization• Comparative analysis of different Pose-estimation models trained with different depth multipliers• Deployment of Pose-estimation TFlite models in Mobile applications through Android Studio using Kotlin

• 

  Diehl Controls

  Oct 2021 - Jul 2022

  Master Thesis

  • Proposal of a novel algorithm to create synthetic fire images using GAN and Image compositing• Design and Implementation of GAN architecture with around 50 million parameters using Keras API• Design of lightweight CNN model to detect fire and training under CUDA enabled GPU• Creation of DVC pipeline for training and evaluation of GAN model and CNN models for fire detection• Conducting experiments with different configurations and Version control management using GitLab

• 

  Neurocat

  Jul 2022 - Jan 2024

  AI Research Scientist

  • Development of system features for Python based AI validation tool, hosted as a web application.• Design and implementation of a specific augmentation to simulate given ODD, used as a validation method for semantic segmentationand object detection models.• Development of a feature as micro-service using http and FastAPI to improve the performance reliability of the validation tool.• Contribution in improving the speed of validation process with large datasets by optimizing DAG creation in the backend.• Contribution in horizontal scaling of the containerized application deployed locally or on a server.• Understanding and contributing in optimizing the multi-tenancy architecture to make the software scalable and reliable.• Experience working in an Agile software development team and collaborating with the team to accomplish set goals, derived fromcustomer requirements Show less