Sachal Dhillon
About Sachal Dhillon
Sachal Dhillon is the Manager of Applied Machine Learning at Matterport in Sunnyvale, California, with a background in machine learning and robotics engineering.
Current Role at Matterport
Sachal Dhillon is currently serving as the Manager of Applied Machine Learning at Matterport in Sunnyvale, California. In his position, he leads data curation efforts for the largest digital library of spatial data. His responsibilities include architecting machine learning pipelines through ML Ops and Cloud Infrastructure. Additionally, Dhillon oversees product and roadmap planning for innovative solutions in 3D Computer Vision at scale, while managing a team of machine learning engineers to turn research efforts into tangible products.
Previous Experience at Amazon Robotics
Before his current role, Sachal Dhillon worked at Amazon Robotics. From 2020 to 2021, he served as an Applied Machine Learning Engineer in Boston, Massachusetts. Earlier, in 2019, he completed an internship as an Advanced Robotics Research Intern in the Greater Boston Area. These roles involved significant contributions to the field of robotics and machine learning.
Educational Background at Duke University
Sachal Dhillon has an extensive academic background from Duke University. He earned a Master of Science (MS) in Electrical and Electronics Engineering from 2018 to 2020. Prior to that, he achieved a Bachelor of Engineering (BE) in Electrical and Electronics Engineering, a Bachelor of Science (BS) in Computer Science, and a Minor in Mathematics, all between 2015 and 2019. This diverse educational foundation underpins his expertise in machine learning and engineering.
Roles and Contributions at Previous Companies
Sachal Dhillon has a wealth of experience from various roles prior to his time at Matterport. He co-founded Digit Medical and served as Chief Engineer from 2015 to 2017, in Austin, Texas. He worked as a Machine Learning Engineer at Pensa Systems for three months in 2018. Additionally, Dhillon served as a Back End Developer at River Oaks Group from 2014 to 2018, gaining valuable experience in software development. This diverse professional background has equipped him with a range of skills in machine learning and engineering.