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About

Unity Developer with a background in medicine,
specializing in realistic physics-based simulations for the
military-tech sector. I leverage strong architectural
principles to build stable and scalable projects. Currently
developing a realistic UAV flight simulator and expanding
an aquatic navigation prototype. I am a highly disciplined
fast-learner seeking a strong team to create impactful
simulation solutions

Tuytuynnik Danyil
Unity Developer

Contacts Experience
[открыть контакты](см. выше в блоке «контактная информация») Test Task/Pet project (done)
[открыть контакты](см. выше в блоке «контактная информация») AUTONOMOUS BOAT SIMULATOR (ML-AGENTS)
@taschenjude A realistic physics-based simulation where an autonomous agent learns to navigat
dynamic water environments using Reinforcement Learning. The project focuses
LinkedIn on the intersection of complex hydrodynamics and AI decision-making.

GitHub
Reinforcement Learning (AI): Integrated Unity ML-Agents and trained a neural
network using the PPO (Proximal Policy Optimization) algorithm. The agent learned
to balance speed, fuel efficiency, and obstacle avoidance in a volatile environment.
Hard skills Advanced Hydrodynamics: Implemented realistic water physics using DWP2
(buoyancy, drag, lift force, planing) synchronized with Crest Ocean System waves.
Core Development: Engineering & Optimization: Developed a custom "Bridge" for interaction between
Game Engines: Unity (2022/6 LTS), 2D & 3D physics and visual water systems. Implemented Object Pooling for dynamic
Development, HDPR/URP. obstacles to ensure stable performance during training epochs.
Languages: C# (LINQ, Events/Delegates, Async/Await), Tools & Debugging: Created custom Python environments for training and C#
Python (basic configs for ML). debugging tools (Gizmos, CSV logging) to analyze the agent's reward signals
(Reward Function Engineering).
Architecture & Patterns: OOP, SOLID Principles,
Dependency Injection (Zenject), MVC/MVP basics. Pet project (in progress)
AI & Machine Learning:Unity ML-Agents FPV DRONE SIMULATOR (ML-AGENTS & HITL)
(Reinforcement Learning, PPO algorithm), Python A highly realistic, physics-driven FPV drone simulator designed for MilTech
(Environmental setup for ML), Neural Networks basics. applications and pilot training. The project focuses on mathematically
Unity Ecosystem & Packages: accurate flight dynamics, modular component configuration, and seamless
System: New Input System, ScriptableObjects integration with both physical RC controllers and AI agents.
architecture.
Core Physics & Flight Dynamics: Developed a custom physics engine over Unity's
Optimization: Addressables (Asset Management), Object Rigidbody. Implemented realistic thrust calculations, aerodynamic drag models, and
Pooling. a custom software PID controller mimicking real-world Betaflight stabilization logic.
UI/VFX: UGUI, TextMeshPro, Particle System, Architecture & Modular Design: Utilized Dependency Injection (Zenject) to strictly
DOTween decouple flight logic from input systems. Created a Data-Driven constructor using
Tools: Cinemachine (Camera logic). ScriptableObjects to define real-world drone specs (motors, batteries, frames),
Physics & Simulation: PhysX, Dynamic Water Physics 2, dynamically calculating the Center of Mass and thrust-to-weight ratios.
Crest Ocean System. Hardware Integration (HITL): Configured Unity's New Input System to process raw
HID data from professional RC transmitters (e.g., Radiomaster), enabling authentic
Tools & Version Control:
Hardware-in-the-Loop training.
VCS: Git / GitHub .
ML-Agents Readiness: Designed a headless-ready architecture with an
Art & Audio: Aseprite (Pixel Art & Animation), interchangeable IInputProvider interface, allowing a seamless transition between
Audacity/Reaper (Sound design basics) human pilots and Neural Networks for autonomous navigation and Reinforcement
Maintenance of technical documentation Learning.
 Gamedev projects:заца
Soft skills 2D platformer “Bimo run”
Troubleshooting First 2D platformer, that was created during the course.
Effective communication The cartoonish graphics and ordinary music immerse you in a childlike
atmosphere where you want to explore every corner of the level.
Open for researching
Fast Learner / Willingness to learn 3D Hyper casual Runner “Zombie Destroyer”
High level of flexibillity First 2D platformer, that was created during the course.
As useful: may help in medical The cartoonish graphics and ordinary music immerse you in a childlike
atmosphere where you want to explore every corner of the level.
insurance questions/argues
Ownership 3D Survival “Escape from the island”
One day, a player in the form of a capsule crashed on a deserted island in his
plane. He had to adapt, learn to defend himself from animals, catch fish with
his bare hands, and build fires using improvised means. The game immerses
Education you in the atmosphere of the early versions of Minecraft, reminding you of the
Taras Shevchenko National University of Kyiv carefree days of childhood.

Master’s degree in Medicine
3D workbox “Worksheet”
2018-2024
My personal development environment where I implement mechanics without
Shupyk National Healthcare University of being tied to the core. There, I add what I am learning and want to learn,
Ukraine thereby progressing in both architectural and game design solutions.

Surgery ordinator
2D Action RPG Kharakternyk
2024-2025
A game that I would like to make the magnum opus of Ukrainian game
development. Currently, I have developed the main core, a portfolio of concept
art, a storyline, and partially implemented game development documentation.
Languages
English (C1)
Ukrainian (fluent)

Courses
Unity Game Developer by Headlight
school (2025-2026)
Introducing to C# by Codecademy
(2025)
Advanced C# by Codecademy (2025)
Pixel Art Fundamentals by
GameDevTV (2025-2026)
Pixel Art Characters (2025-2026)
Pixel Art Environments by
GameDevTV (2025-2026)
Ml-Agents by Unity Technologies
(2026)

Hobbies
Making music Hiking
Playing games Collecting anime
Reading figurines