Michael Tan-Sikorski — CV

Download CV (PDF)

Contact

07468411989 | michaeltansikorski@outlook.com

linkedin.com/in/michael-tan-sikorski | github.com/MikeyMictan1

Technical Skills

Education

University of Warwick
BSc Computer Science - Predicted First
Sep. 2024 – June 2027
Highgate School
Sep. 2009 – July 2024
  • A-Levels: Computer Science: A*, Maths: A*, Further Maths: A, Physics: A
  • GCSE: Eight 9’s, two 8’s

Experience

Software Engineer
Safe Autonomy Research Group, WMG Coventry, United Kingdom
Jul. 2025 – Sept. 2025
  • Designed and implemented innovative game modes in Safety Pool™ Studio, a platform for scenario-based road safety testing.
  • Used the Godot engine to enhance user engagement while aligning with autonomous vehicle safety goals.
  • Collaborated with research engineers to integrate game features into a graphical scenario generation tool.
  • Gained practical exposure to Autonomous Driving Systems Verification and Validation algorithm design.
Game Developer and Founder
Prelude Game Studios, London, United Kingdom
Dec. 2024 – Present
  • Founded and managed an independent game studio focused on innovative 2D and 3D game development.
  • Sole developer of debut title “Amaz’d,” engineered using OOP principles in Python and Pygame, achieving positive global reviews on Steam.
  • Designed advanced features such as custom enemy AI and procedural level generation to enhance gameplay depth.
  • Built and maintained the entire development pipeline for all studio projects, including testing, debugging, and deployment for cross-platform release.
Shop Assistant
Haven House Charity Shop, London, United Kingdom
Sep. 2022 – Dec. 2022
  • Delivered attentive customer service on the shop floor, providing assistance and fostering a welcoming retail environment.
  • Collaborated efficiently with team members in the shop back-end, adapting communication styles to streamline the process of organising and labelling donated clothes, enabling quicker restocking on the shop floor.
Video Editing and Content Creation
Little Big Bell, London, United Kingdom
Apr. 2021 – May. 2021
  • Produced and edited high-quality interior design and lifestyle video content, including branded segments for major clients such as Amazon.
  • Delivered engaging public-facing videos that attracted significant online traction, accumulating thousands of views on Instagram.

Competitions

<WHACK> Hackathon - Title Winning Video Game
Python, Pygame, Github | Oct. 2024
  • Led a team of four in designing and developing an educational app to teach financial literacy to children, winning the title out of a field of 150 contestants.
  • Optimised team performance by strategically assigning roles to leverage individual strengths and maximize productivity under tight deadlines.
  • Pitched the project to Capital One representatives in a time-pressured presentation, demonstrating clear and efficient communication.
Cyber Centurion IX - National Top 20
Ubuntu, Linux kernel, OS Hardening | Sep. 2022 – Jan. 2023
  • Collaborated in a team to secure a compromised linux-based system through use of a virtual machine.
  • Task delegation, vulnerability mitigation, and operating system hardening under timed conditions, strengthened technical skills in Ubuntu and the Linux kernel.

Projects

PRiSE QMUL Planet Hunting Certification - Research Project
Matplotlib | Sep. 2022 – Mar. 2023
  • Conducted comprehensive research on exoplanets, collaborating with a team to present findings at a scientific event.
  • Developed a Python-based classification model for exoplanets in binary-star systems, utilising Matplotlib to create clear and effective data visualizations.
  • Applied NumPy to perform statistical analysis, including chi-squared testing, to estimate model error and validate results against official NASA datasets.
NVIDIA Jetson AI Certification
Linux, Python, Neural Networks | June 2023 – July 2023
  • Developed and trained an AI detection model utilising the ResNet18 neural network architecture on a Jetson Nano, enabling colourblind individuals to differentiate Skittle flavours based on colour recognition.
  • Gained hands-on experience in machine learning by optimising model accuracy through iteratively training epochs and evaluating performance.