Lokesh Bisht

Leading software development team ; Led the development of proprietary products for - Optical Real Time Localization System and Industrial surface quality control system ; Taking software development team size from 2 to 10 ; Strategic decision making for product design with customer centric approach ; Co-leading the development and successful implementation of POCs ; Managing business targets in a super agile scenario and limited resources ; Leading development of application specific deep-learning models ;

Detection of HD map elements using a modified state-of-the-art-network. Object detection using high density point cloud data from LiDAR sensors. Modifying state of the art deep learning model for detecting small objects

Development of Deep Learning based Object Detection model for industrial environment ; Development of process control and abnormal environment detection system ; Working with edge devices and real time detection ; Experimenting with data preparation representation, and augmentation

Development of SLAM algorithm using Cameras , LiDAR and IMU sensors for the self-driving formula student vehicle 2020-21 ; Vehicle pose estimation and Map landmarks detection and pose estimation ; Simulation and testing the SLAM pipeline ; Working with stereo cameras , Robot Operating System (ROS)

Self-Driving Vehicle - Development and implementation of actuators control algorithm ; Vehicle localization , sensor fusion with Stereo camera, IMUs and GPS | Industry 4.0 - Augmented Reality (AR) & IOT using python on Raspberry PI, Codesys & AWS ; Development of a smart industrial visual inspection

New Model Induction and Quality commissioning; Confirming the manufacturing feasibility & design changes for new models; Production line improvements; Major Projects - Successfully increased the Rough Boring operation tool life by optimizing the machining operation speed and feed . Saved more than 10 million India Rupees per year for the company

Dual studies with Leibniz University Hannover Artificial Intelligence; Deep Learning; Machine Learning; Neural Networks; Knowledge Engineering; Methods of Optimization and Decision Making; Mathematical Modelling and Simulation; Python; Java; Intelligent Systems; Agent-based systems, Control Theory

Production Engineering, Mechanical Engineering, Industrial Economics, Industrial Management, Theory of Machines, Mechanical Vibration, Manufacturing technology, Metrology ; Design and Manufacturing of chassis and suspension for All Terrain Vehicle for BAJA SAE INDIA ; Thesis – Automation of TIG welding process