Archangel Imaging
Onish Sutradhar has gained significant work experience in various roles. They started their career in 2016 as a Volunteer at World Challenge. In 2019, Onish joined Team Bath Drones Marine as Deputy Project Manager. They then transitioned to Team Bath Racing Electric in 2020, initially working as an AI Engineer. Onish quickly progressed to become the Head of Software, where they led six teams in developing an autonomous pipeline for the TBReAI22 vehicle. They also provided lectures and workshops to enhance student understanding. Following this, Onish took on the role of TBReAI GBDP Project Manager, overseeing the design and implementation of the braking system, steering system, and AI pipeline for the 2021 TBRe vehicle. In 2021, Onish further advanced their career by becoming the Head of Software & Simulation, where they managed software sub-teams, integrated testing systems, and oversaw third-year teams working on autonomous pipeline development. Afterward, Onish joined Archangel Imaging in 2022 as a Software Engineer.
Onish Sutradhar completed their education in a chronological order. From 2010 to 2015, they attended Cranbrook College. They then attended St. Olave's Grammar School from 2015 to 2017, although no specific degree or field of study is provided for these two schools.
Later, from 2018 to 2022, Onish pursued a Master of Engineering (MEng) in Mechanical Engineering at the University of Bath.
In addition to their formal education, Onish obtained several certifications. They completed the "Introduction to Computer Science and Programming Using Python" course from edX in October 2020. They also completed two C++ courses, namely "C++ Essential Training" and "Learning C++," through LinkedIn in September and August 2021, respectively. The institutions providing these certifications were edX and LinkedIn, respectively.
Archangel Imaging
Archangel Imaging provides software and hardware options to make machines smart enough to become team mates you can trust to do their part, rather than tools you need to constantly manage. Veteran founded and owned we focus on supporting users in remote, exposed on challenging environments, including police, service personnel, first respondersand NGOs. We’re active in both the UK and US. Hybrid human-machine teams will be much more effective in protecting assets, people & planet at scale. For that to happen, we need our technology to be able to operate without depending on human attention or on vulnerable infrastructure. We specialise in advanced artificial intelligence (AI) for cameras and GNSS-denied navigation for manned and unmanned systems. Real time remote monitoring is difficult to achieve with people alone. The areas are often huge and distant, meaning hard-working maintenance, security or safety staff have poor coverage with long response times. Pipeline security, anti-poaching, asset integrity monitoring and border patrol are a few examples. Whilst we (humankind) have developed an impressive array of technologies, including drones and ground sensors, these remain tools to use at long range. These tools are dependent on: 1) human attention to make best use of them and 2) infrastructure to support them, with communications and positional information in particular. GPS has become increasingly easy to jam and to spoof. Not only that but the orbital infrastructure itself is at direct risk of vandalism.Archangel Imaging provides a complimentary solution stack to enable human-machine team work in the real world. These make machines smarter, more resilient in a changing situation and easier to work with in a human workflow. Xnaut AI co-pilots enable existing uncrewed drones, boats and rovers to make mission level navigation decisions based on live observed context. Designed to work when GPS is being spoofed or jammed, Xnaut GENIE Uniquely combines over 50 navigation methods to ensure reliable, resilient and accurate location data is provided to the system's autopilot. Argonaut smart cameras have been designed to operate independent of infrastructure. The camera and tower products are fully self-contained, with power, communications, sensors and compute. Cerebella human-machine teaming mission management software integrates diverse machines into people-centred geospatial workflows.