Abhilash Mane
About Abhilash Mane
Abhilash Mane is a Robotics and Machine Learning Engineer currently working at Sentera in the Greater Minneapolis-St. Paul Area. He has experience in optimizing sensor calibration algorithms and enhancing perception for autonomous vehicles, with a strong educational background in Robotics and Mechanical Engineering.
Work at Sentera
Abhilash Mane currently serves as a Robotics and Machine Learning Engineer at Sentera, having joined the company in 2023. His role is based in the Greater Minneapolis-St. Paul Area and operates in a hybrid work environment. In this position, he focuses on optimizing sensor calibration algorithms to enhance precision in computer vision tasks. His work involves regular updates to his knowledge base, ensuring he stays informed about state-of-the-art algorithms and publications in the fields of computer vision, machine learning, and robotics.
Previous Experience at NIST
Abhilash Mane has held multiple positions at the National Institute of Standards and Technology (NIST). He worked as an Associate Researcher for five months in 2023, where he contributed to various research initiatives. Prior to that, he was a Research Intern at NIST from 2022 to 2023 for four months. His experience at NIST involved enhancing perception for autonomous vehicles through the evaluation of 3D LiDARs and the implementation of advanced techniques such as plane fitting and segmentation.
Internship at Fabrica AI
In 2022, Abhilash Mane completed a four-month internship at Fabrica AI, where he worked remotely from Singapore. During this internship, he gained valuable experience in research related to artificial intelligence and its applications. This role contributed to his development in the field of robotics and machine learning.
Education and Expertise
Abhilash Mane holds a Master of Engineering (MEng) in Robotics from the University of Maryland, which he completed from 2021 to 2022. He also earned a Bachelor of Technology (BTech) in Mechanical Engineering from Sardar Patel College of Engineering in Mumbai, where he studied from 2015 to 2019. Additionally, he completed his Junior College education in Information Technology at Laxmanrao Apte Junior College from 2013 to 2015. His academic background provides a solid foundation for his expertise in machine learning, computer vision, and robotics.
Technical Skills and Achievements
Abhilash Mane possesses a strong grasp of Bayesian statistics and machine learning, which enables him to develop and fine-tune high-performance machine learning models. He is proficient in using tools such as TensorFlow, PyTorch, OpenCV, and ROS for creating robust computer vision solutions. Notably, he developed Docker-based software stacks for computer vision applications, resulting in reduced deployment time and improved hardware compatibility. He was also a finalist in the National Level e-Yantra Robotics Competition, demonstrating his capabilities in robotics and innovation.