Experience

Student Research Assistant

Dai Labor an der TU Berlin

November 2023 - March 2025

Berlin, Germany

  • Constructed and maintained 10km+ point cloud map for autnomous vehicle localization using open-source and proprietry SLAM tools implemented in Python and C++ while also writing thesis on Autnomous vehicle localization using Satellite Images and achieved accuracy within 100cm.
  • Contributed to sensor integration and debugged electro-mechanical and software issues for sensors like LiDAR, camera and INS for safe operation.
  • Assisted maintaining a Kubernetes cluster hosting various applications of the BeIntelli Autonomous Vehicle Stack achieving 99% uptime.

Research Assistant

University of Turku

June 2022 - August 2022

Turku, Finland

  • Conducted research on Ultra-Wideband (UWB) and wrote software in C for DWM-1001C resulting in a 30% improvement in localization accuracy.
  • Integrated Python based AI and ML technologies into drones, leading to a significant enhancement in autonomy and decision-making capabilities, with improved object detection accuracy, navigation efficiency, and obstacle avoidance effectiveness.

Product Development Manager

DGZ Machines

July 2019 - May 2021

Pune, India

  • Successfully designed and implemented digital circuits and required embedded programming in C language for smart vending machines by leading a team of 4 people, resulting in a price reduction of 40% compared to market value and making it the cheapest product in India.
  • Acquired hands-on experience in designing and mass producing customized cost effective embedded systems that resulted in a 200% increase in revenue for the company.

Process Design Engineer

Subhadra Agro

August 2018 - June 2019

Pune, India

  • Designed manufacturing process for Jaggery (Raw Sugar) that reduced human intervention by 90%, resulting in improved product quality and achieve pharmaceutiacal grade environment in the production room.
  • Led machinery selection and global procurement efforts, ultimately saving 10-20% in proposed capital investment at the same time also ensuring that the manufacturing process met stringent quality standards and hygiene standards.

Research Intern

University of Arkansas at Little Rock

June 2018 - July 2018

Little Rock, Arkansas, USA

  • Conceptualized and developed a Driver Drowsiness Detection System by utilizing Raspberry Pi as the core platform, enabling real-time processing.
  • Integrated camera and accelerometers, combined with OpenCV and custom algorithms with 17% accuracy in detecting driver drowsiness and driving patterns over exisitng research in a cost effective solution.