Kanishk Navale
Angestellt, Senior Deep Learning Engineer, sereact GmbH
Stuttgart, Deutschland
Über mich
Autonomous Systems Engineer with experience in Deep Reinforcement Learning, Robotics, Machine Learning & Computer Vision working with 10+ teams over 35+ projects.
Werdegang
Berufserfahrung von Kanishk Navale
Bis heute 1 Jahr und 7 Monate, seit Nov. 2022
Senior Deep Learning Engineer
sereact GmbH
7 Monate, Mai 2022 - Nov. 2022
Master Thesis Student
sereact GmbH
6 Monate, Nov. 2021 - Apr. 2022
Intern - Reinforcement Learning & Planning
Bosch Center for Artificial Intelligence
5 Monate, Mai 2021 - Sep. 2021
Wissenschaftliche Hilfskraft
Max Planck Institute for Intelligent Systems
1 Jahr und 2 Monate, Aug. 2018 - Sep. 2019
Research Assistant
KLE Technological University
Critiqued 3 student industrial automation & robotics research teams simultaneously. Cofounded an internal group acting as a consulting firm for local industries & research teams to fabricate economical automation & robot controllers. 1. Manufactured motion control system based on Codesys EtherCAT technology priced 47% economical than competitors. Successfully demonstrated these control systems on internally built parallel robots & autonomous guided vehicles.
2 Jahre und 2 Monate, Juni 2016 - Juli 2018
Robot Systems Engineer
FANUC India Pvt. Ltd.
Commissioned 48 industrial robots in welding, 2D & 3D vision, machine tending, IoT with predictive maintenance as part of the design & site team. The technical & commercial proposals generated revenues more than the set yearly revenue targets. 1. Coded modular automated design reports & proposal generation systems with C# services, accelerating proposal to project delivery time by 30%.
Ausbildung von Kanishk Navale
Bis heute 4 Jahre und 8 Monate, seit Okt. 2019
Computer Science
University of Stuttgart
1. Constructed a deep learning model with Dense CNN + LSTM Layers using PyTorch with an accuracy of 57.24% for speech & language processing, ranking 2nd best model in the class. 2. Improved robot path planning by 60% fewer episode lengths from DDPG to TD3 RL Agent with Hindsight Experience Replay implemented in Tensorflow 2.
4 Jahre und 1 Monat, Juni 2012 - Juni 2016
Automation & Robotics
B.V.B. College of Engineering and Technology
1. Lead a student team of size 10 to participate in ABU-Robocon international event with 2 badminton playing robots. 2. Reverse engineered a parallel manipulator from a research paper involving PCB engineering, designing motion systems using LabVIEW as a part of the ‘Research for Undergraduates' program.
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