Rithvik Mandya

Zen Technologies

August 2024 - Present

Game Developer Intern

• Developed and trained NPC agents using machine learning for battle simulations in military and special police force scenarios.
• Utilized the Learning Agents plugin in Unreal Engine 5.3 to create adaptive, AI-driven characters for realistic combat environments.
• Collaborated with teams to enhance the realism and performance of simulations through advanced AI integration.

Indian Institute of Technology, Gandhinagar.

May 2024 - July 2024

Research Intern

• Developed a VR/AR application for molecular simulation, using Unity and C# to predict nanoparticle orientation.
• Created an innovative tool for scientific research and education in nanotechnology, enhancing visualization and understanding of molecular interactions.
• Collaborated with researchers to integrate cutting-edge technology into nanotechnology studies, driving advancements in the field.

Learning Curve Technologies, Bangalore.

November 2023 - January 2024

Game Developer Intern

• Developed 2D first-person RPGs and educational modules, utilizing Unity, Blender, and C# to create immersive gaming experiences.
• Designed interactive learning resources that combined gameplay mechanics with educational content for enhanced engagement.

Vasukam, Bangalore.

August 2023 - October 2023

Game Design Intern

• Designed levels, characters, and environments for a tower-based RPG, leveraging Unity, Blender, and Maya to create high-quality visual assets.
• Enhanced the gaming experience by crafting detailed game environments and character designs that align with the game’s aesthetic and mechanics.
• Created the first Game Design Document (GDD) to outline core gameplay mechanics, narrative elements, and visual style, ensuring a cohesive development process.

Centella Scientific, Hyderabad

May 2023 - September 2023

AI/ML Intern

• Contributed to the development of optimization algorithms in AI for drug discovery, enhancing efficiency in identifying potential compounds.
• Collaborated with a research team to apply machine learning techniques in analyzing large datasets, driving advancements in pharmaceutical research.
• Optimized AI models to improve accuracy and speed in predicting molecular properties, aiding in the drug discovery process.

Languages and Databases

Frameworks

Tools