Human in the loop training
Designing agent pipelines that remain steerable and interpretable during learning.
Agentic Game AI • Gameplay Programming • VR / Simulation
Agentic gameplay systems for games, VR, and simulation.
I build intelligent gameplay systems using reinforcement learning, adaptive control, and AI driven behavior in Unity and Unreal.
Gameplay programmer focused on turning ML research into playable game systems. I build learning agents in Project Malmo and Unreal Learning Agents, and I design VR and simulation experiences that stay responsive on real hardware.
Seeking Gameplay Programmer, Game AI Programmer, AI Gameplay Programmer, and VR/Simulation Programmer roles at game studios and interactive entertainment teams.
Unity
Unreal Engine
C++
C#
Python
Reinforcement Learning
Bandits
VR
Simulation
0
Systems built
0
Core runtime lanes
0
Publications
0
Major roles
Currently Exploring
What I’m actively pushing right now.
Adaptive VR control systems
Building interaction loops that adjust to player behavior, preference, and response timing.
Agentic gameplay behaviors
Creating game systems where intelligence is designed into play rather than layered on top.
About
I design gameplay systems with agency built into them.
My work sits at the intersection of gameplay feel, autonomous behavior, and immersive simulation.
I’m currently pursuing a Master of Entertainment Arts and Engineering in Game Engineering at the University of Utah. I’m especially interested in systems where intelligence is designed into the player experience from the start.
I work across RL agents in Minecraft, adaptive control systems in VR, NPC behavior in Unreal, and real time prototypes tied to hardware.
What I work on
- Gameplay systems and player facing mechanics
- Game AI, reinforcement learning, and adaptive behaviors
- VR interactions and hardware linked control loops
- Simulation environments for intelligent behavior
At a glance
Education
Current training and academic base.
University of Utah
Master of Entertainment Arts and Engineering — Game Engineering
August 2025 to Present
GPA: 4.0 / 4.0
Undergraduate
B.Tech in Computer Science and Engineering — AIML
2021 to 2025
Relevant areas
- Game engineering
- Machine learning
- Interactive systems
- Simulation and AI
Featured Work
Selected systems across gameplay, AI, and simulation.
These projects best represent how I build adaptive systems, intelligent agents, and playable environments.
VR Neck Exoskeleton
Designed and prototyped a wearable VR neck exoskeleton with UCB1 bandit personalization to learn controller and assistance preferences for comfort.
Gameplay Systems
Bandits
Unity
VR Hardware
Open project ↗
DQN Assistive Bot in Project Malmo
Built a DQN based assistive bot for navigation and resource collection using replay buffer and epsilon greedy exploration.
Game AI
Project Malmo
Human in the loop
Open project ↗
UE 5.3 / 5.4 Learning Agents
Trained and deployed ML agents for adaptive NPC behavior in battle simulation environments at Zen Technologies.
Unreal
Learning Agents
Adaptive NPCs
Open project ↗
Experience
Research, prototyping, and intelligent systems development.
Aug 2025 to Present
Research Assistant · Robotics Center, University of Utah
Designed and prototyped a wearable VR neck exoskeleton with UCB1 bandit personalization and built a DQN based assistive bot in Project Malmo for navigation and resource collection.
Aug 2024 to Jun 2025
Game Developer Intern · Zen Technologies
Trained and deployed ML agents with Unreal 5.3/5.4 Learning Agents, integrated perception, pathfinding, and behavior trees, and improved target scene runtime to 45 FPS.
May 2024 to Jun 2025
Teaching Assistant · Advanced Academic Center
Trained aspiring game developers in Unity and C#, and authored a guidebook on building immersive games with Unity from scratch.
Apr 2024 to Jun 2024
Summer Research Intern · IIT Gandhinagar
Developed a Unity VR/AR molecular simulation for nanoparticle orientation prediction with mixed reality visualization and real time manipulation for research and education.
Projects
Additional work across games, AI, and simulation.
Human in the Loop RL for Minecraft
Baseline DQN with replay buffer, target network, epsilon greedy exploration, and data pipelines for imitation learning in Project Malmo.
Launch ↗
VR Neck Exoskeleton
Wearable neck assist prototype with posture cues, support logic, and adaptive controller selection.
Launch ↗
Indonesian VR History Shop Sim
Interactive VR history shop experience with artifacts, interaction loops, and smooth standalone performance.
Launch ↗
Pompeii
Unreal Engine FPS jam project with weapon mechanics, damage systems, and animation setup.
Launch ↗
Howzzat!
Unity cricket simulator using computer vision gesture batting, Blender stadium assets, and physics based ball behavior.
Launch ↗
VR/AR Molecular Simulation
Interactive Unity molecular visualization and orientation prediction system for mixed reality research workflows.
Launch ↗
Skills
योगः कर्मसु कौशलम्
Skill is excellence in action.
Languages
C++C#PythonJavaHTML/CSS
Engines & Tools
UnityUnreal EngineBlenderArduinoJupyter
Game AI / ML Stack
Reinforcement LearningDQNBanditsImitation LearningBehavior Trees
Research
Research is where curiosity becomes contribution.
Publications.
Evaluating Deep Q Networks Based Agents in Game Environments
RamKumar, M. & Rithvik, M. (2024). Reinforcement learning for Flappy Bird.
Optimizing Lunar Lander Performance Using Dueling Deep Q Networks
Poornima, S. & Rithvik, M. (2023).
Reinforcement Learning for Autonomous Agents in Unreal Engine
Rajini, P. & Rithvik, M. (2024). International Conference on Innovative Emerging Technologies, ICIET 2025.
TEDx GRIET — Sponsorship Lead
Leadership and external coordination alongside technical and research driven work.
Contact
Let’s build something intelligent and playable.
Open to internships and early career roles in gameplay, game AI, VR, and simulation.