Using automation and robotics to make outdoor infrastructure rebuilding faster and speeding up deployments of large scale climate mitigation projects.

Winners of MIT Artificial Intelligence $50K Prize (from over 100 excellent startups)Building robot grasping and manipulation technology 10x faster than current approaches for Automation of logistics.Startup to help with automation of picking in logistics featured in TechCrunch.

Worked with the CEO of Chargepoint to help develop an innovation audit for the electric car charging industry and authored a report as part of academic work.Mentored by Steve Blank as part of the Lean Launchpad Program (most difficult course to get into at Stanford). Designed a breakthrough automation robotics system for warehouse pick and pack optimization to help with labor challenges.Co-Founded student club for Business innovation in Aerial Robotics and Aerospace at Stanford Graduate school of business. Raised funds for the club from various supporting university bodies for its operations. Worked with Director of Product at Target for building product management strategy to use Machine Learning for more informed and compelling personalization of their web and mobile interface.

Filed Patent on innovation in Computer Vision/Perception - creating virtual worlds from real (dense mapping) using gravity vectors. (Robotics Institute and Carnegie Mellon University as assignee)Developed Robot perception algorithms for automation of roof mapping and damage detection using Computer Vision and Deep Learning. Work published in Tier A Robotics conference-IROS 2017 1EEE (first author). Paper selected from over 1000+ submissions for 3D perception and dense mapping using structured light camera and Inertial sensors.Developed a 3D computer vision and machine learning algorithm for a system of robot arm and camera to make precise picks of food bites. Building a deep reinforcement learning system to emulate a path planner in C-spaces for robot 4+degree of the freedom robot arm and learning in simulations.Built a Deep Learning system which ranked in as top 5% for pattern matching as part of the university Kagle challenge in the computer science dept.GPA: ~4.0/4.0

Built a breakthrough sensor platform for aerial inspection used by GE / Ford / Michelin.Funded by programs from the Department of Defence and Research of India to build one of the smallest micro aerial vehicles (drone) to be fully autonomous for carrying sensor payloadsDeveloped indigenous autopilot firmware using state-of-the-art ARM 32bit processors when most autopilots were still using 8bit AVR Atmegas Built grounds up electric vertical take-off and landing platform to carry payloads upto 20lb with vehicle AUW of ~50lbConducted one of the world's first aerial inspections of wind turbines using a drone and was granted a patent (GE assignee)

Google / NASA sponsored program on Technology, Entrepreneurship and Innovation

Recognized as a top technologist at HP with multiple paper and podium presentations in TechCon 2005 2006 and 2007.Filled multiple patents (granted) and developed numerous technologies on distributed storage and its aggregationsDeveloped numerous software products for open-source standards for storage management and agreggation.