Dec 2023 – Present · 2 yrs 3 mos · Bengaluru, Karnataka, India

• Bootstrapped and running a full service AI & Robotics firm, specializing in deeply integrated solutions, deployed on-ground to solve real problems, with $70+ profits in a little over 11 months.
• Worked with early stage startups like Intugine, big companies like GS and MG, and everything in between.
• Primary areas of contribution are Machine Learning/AI and Hardware Robotics. My role revolved around working deeply with the clients and their existing systems to create the solutions, design the POC, and enable an industry ready solution for deployment
• Served as outsourced CPO to multiple early stage startups, involved with delivering product development and deployment, alongside building multiple 2-5 person teams during in-house expansion

Nov 2019 – Apr 2021 · 1 yr 5 mos · California, United States

• Built a Transformer based ML model for extraction and synthesis of information, designed into a platform to augment knowledge workers and increase their throughput. The platform enabled better citation and reference capabilities which is crucial for research/knowledge work
• Raised $100k+, and partnered with 4 universities, and 2 law firms across the US, to pilot the platform.
• Sold it to the existing team due to a major personal accident leaving me unable to work for over a year

Jun 2017 – Dec 2018 · 1 yr 6 mos

• Worked as part of the Market Risk Division, responsible for the Market Risk Models, and the creation of its automation infrastructure. Part of the Data Lake initiative
• Built an automation model for the firmwide infrastructure issues alert system to automatically identify and resolve issues using Machine Learning, and learn from user input in the case of automation failure via labelled data consolidate from user actions
• Designed the transition for infrastructure platforms and databases to isolated routing servers for better hardware isolation and security.

Mar 2016 – Jan 2017 · 10 mos · Bengaluru Area, India

• Worked within the Navigation and Controls Team at Indus. Designed the algorithm for stable terminal descent (the last stage of any lunar landing which needs to be completely automated and robust) for the moon landing, and validated using drone platforms, and thruster models.
• The entire system was coded on BareMetal, including an FPGA chip for independent sensor integration and efficiency

Dec 2015 – Feb 2018 · 2 yrs 2 mos · Kharagpur, West Bengal, India

• Built the research team for two connected research labs advised by University professors to further robotics research, focused on drones. Raised $150k+ in grants from the Indian Council of Medical Research to build drone ambulances aimed at speeding first-aid and medical reach for hazard and disaster events
• We also won two prizes at the International Aerial Robotics Competition, becoming the first team from India to ever do so

Jun 2015 – Mar 2016 · 9 mos · India

• Created a social enterprise aimed at identifying regional deficit in job skills for high density urban regions and creating self sustaining local communities to increase income.
• Reached the London Finals of the Bill Clinton Hult Prize Competition 2016, a renowned social entrepreneurship competition.

May 2014 – Sep 2014 · 4 mos

• Responsible for designing the Energy Minimized Control Loop for Humanoid Robots, with and without a vertebral column.
• The aim was to show that adding a vertebral column leads to reduction in energy consumption