Nishi Shishir

University of Nottingham

• Dissertation: Use LLMs and ML to autonomise drones to canvas an area post natural disaster with a computer vision model, and use Natural Language Processing and VR Headsets to facilitate Human AI interaction. The paper can be found here: https://dl.acm.org/doi/10.1145/3776734.3794606
  ★ Published in HRI 2026
• Key Modules: Machine Learning, Data Visualisation, Algorithms, Data Structures and Efficiency, Databases and Interfaces.

Global Markets Tech Intern | BNP Paribas CIB

• Handled software engineering tasks in a fast-paced investment bank on key bank infrastructure that handles flow of trades through the bank, built on C++ and Javascript.
• Ran KYC campaigns to accumulate user requirements and effectively implement these to a high standard in software.
• Used the D3.js library to produce interactive and highly functional graph visualisations after analysing dynamic datasets.

IT Support Assistant | University of Nottingham

• Assist clients with issues regarding their computers or other IT concerns they may have.
• Work with colleagues to give helpful advice and obtain better understanding of university and company infrastructure.

Team Lead | RoboNotts

• Maintain and organise three robotics teams centred around automation and health, including autonomous racing, navigation, search and rescue and manipulation.
• Create a facial detection/recognition model in Python that allows our competitive robot to recognise and keep track of faces it has seen before.
• Communicate with multiple companies to discuss sponsorship opportunities.

Team Lead | University Group Project

• Lead a team of 8 peers to create a Virtual reality project.
• Organised meetings, outlined development sprints and goals for Agile-oriented projects, and ensured effective team communication.
• Created a server using the Ubiq library and Network protocols to allow users worldwide to connect to one VR environment, merging C and Python.

Intern | Lloyds Bank

• Explored the different software jobs available in the banking industry.
• Used data analysis techniques to find patterns in banking app data using python libraries.
• Created and lead multiple presentations in a time-limited environment to a panel of company executives.

Lead Organiser | HackNotts '84, '24 and '25

• Organised three major 24-hour hackathons, with one having over 400 participants.
• Negotiated sponsorship deals with over 50 companies and managed their involvement from start to end, coordinated on-the-day logistics and led multiple activities.

Senior Course Representative | University of Nottingham

• Regularly attend and interact with various learning committees to improve the university schooling system.
• Manage a group of course reps and collate the information gathered by them to bring to higher university admin.

Speaker Acquisition Secretary | HackSoc

• Served on the committee for a society that has over 300 students.
• Interacted with industry professionals to hold events with the society to describe more about their field.

Football Team Manager | HackSoc

• Managed fixtures, team training, meetings, and match outcomes.
• Worked on team strategies and analysed matches to work on improving the team.

Subject Ambassador & Course Representative | University of Nottingham

• Acted as a central point of contact for issues in the course, gathering feedback from over 400 students termly.
• Helped show students around on open days and offer holder days, communicating effectively with multiple age demographics.

Scale Solver

C#, Unity (August 2024)
Used C# to create a first-person perspective game involving problem solving and memory mechanics. Built in 96 hours for GMTK 2024.

VR Worlds: Social VR

C#, Python, Unity (October 2023)
Used C#, Python and Data Visualisation techniques to allow users to join a VR environment and see their brain data in real time. Lets a user join from any network anywhere in the world to the same VR environment.

Revoir

Flutter, Dart, HTML, Swift (June 2023)
A project aimed towards simplifying the lives of people with near-sightedness and vision troubles. The aim is to use generative AI technology to allow a device's camera to recognise what item it is looking at.

J'Eviter

Python, SQL, HTML, CSS, JS (February 2023)
An application that uses a custom built and trained AI to identify ingredients on food labels at a glance and informs the user if they can or cannot eat a certain item. Uses camera detection and a UI/UX interface.

Awards & Certifications

• First Aid at Work - First Aid Society (November 2023)
• HackNotts 2023 Winner (February 2023)

Interests

• Sports: Played various sports from a young age, including Badminton, Netball, and Volleyball (2021).
• Gaming: Played games semi-professionally with teams, heavily invested since 2020.
• Books: Fascination with books from a young age, including writing and reading from various genres.