CV

Education

• B.Tech Electronics and Communication (2019 - 2023)
  • Vellore Institute of Technology, Vellore (CGPA: 9.34/10)
• HSC (CBSE) (2017 - 2019)
  • Bal Bharati Public School, GRM (Percentage: 89%)
• SSC (CBSE) (2015 - 2017)
  • Bal Bharati Public School, GRM (CGPA: 10/10)

Work experience

• Pre-Doctoral Fellowship
  • Indian Institute of Science (IISc), Bangalore, India
• Research Internship
  • ETH Zürich, Switzerland (06/2022 - 12/22)
    • Developed an automated kiosks for remotely diagnosing Covid’19.
    • Developed algorithms for modifying facial videos to hide remote Photoplethysmographic data.
• Machine Learning Intern
  • Wharf Street Strategies (07/2021 - 09/2021)
    • Worked on Backend System of Eat Space-iZ, a food delivery project based in London, UK.
    • Developed ML based Recommendation Algorithms and different Search Filters.
• Avionics Research Internship
  • Space Technology and Aeronautical Rocketry Lab, Surat, India (12/2019 - 01/2020)
    • Worked on Vehicle Avionics, responsible for Data Acquisition and Parachute Deployment System.
    • Developed Android Application for Triggering Launch and in Flight Data Analysis [Detailed Contribution].

Organizations

• Automotive Research Centre (ARC), VIT
  • Research Assistant (11/2019 - 04/2023)
    • Worked on Perception for autonomous self-driving vehicles in developing countries (India in particular) with unstructured environments and poor road infrastructure.
    • Led multiple teams of volunteers to annotate more than 10,000 images of Indian Roads.
    • Developed deep learning models for Sugarcane disease detection, and path planning algorithms for a undercanopy AgriBot (in collaboration with IIT Delhi; project funded by TiHAN IIT Hyderabad).
• Team Assailing Falcons
  • Avionics and Coding Head (11/2019 - 04/2022)
    • Team Assailing Falcons represent India in the SAE Aerodesign East held in Lakeland, Florida, USA.
    • Team was awarded 1st Position in Technical Design Report, 1st Technical Presentation, and 3rd Overall Position (Worldwide) in 2022.
    • Responsible in the team for developing Algorithms and Hardware Implementation for the Autonomous Gliders and Data Acquisition System [Detailed Contribution].
• VIT Amateur Radio Club (VARC)
  • Co-founder and Chairperson (11/2019 - 04/2023)
    • Founded VARC under the guidance of Dr.Harish Kittur (Dean School of Electronics & Communication Engineering, VIT)
    • Conducted several events related to Amateur Radio and Satellite Communication.
• SEDS VIT
  • Core Committee Member (11/2019 - 04/2022)
    • Designed the chapter website for 2020-2021: link | archive.
    • Conducted several public events on topics related to Space Technology.

Publications

Review of Internet of Things towards Sustainable Development in Agriculture

Verma, P., Bhutani, S., Srividhya, S., Karthikeyan, D., & Tong, D. C. S. (2019). Review of internet of things towards sustainable development in agriculture. Journal of Critical Reviews, 7(3), 2020.

LaneScanNET: A deep-learning approach for simultaneous detection of obstacle-lane states for autonomous driving systems.

Perumal, P. S., Wang, Y., Sujasree, M., Tulshain, S., Bhutani, S., Suriyah, M. K., & Raju, V. U. K. (2023). LaneScanNET: A Deep-Learning Approach for Simultaneous Detection of Obstacle-Lane States for Autonomous Driving Systems. Expert Systems with Applications, 120970.

Achievements

• Awarded limited edition TiuTerra Crystal by Austrian Space Forum (OeWF). TiuTerra Crystals contains rock samples from China to Mexico and from Canada to New Zealand, including samples from the deep ocean floor and from Antarctica. These samples were analysed by Austrian Space Forum planetary geologists in Innsbruck, Austria and then taken to Swarovski, where they were combined with a Martian meteorite to form the Tiuterra Crystals.

• Recognized as Special Achiever consecutively for three years (2019-20, 2020-21, 2021-22) for meritorious academic performance and exemplary performance at International Events.
• Awarded UNDPs Impact Award for developing an affordable system to detect common COVID’19 symptoms.
• Recognized for Provisional Discovery of an Asteroids (SJS0011) in the Main Asteroid Belt by International Asteroid Search Collaboration, NASA.
• Licenced Amateur Radio Operator (Callsign: VU3DTU)

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