CREATIVE TECHNOLOGIST · AI/ML ENGINEER
Hi, I'm Nidhushan Kanagaraja, an NYU Computer Science graduate working on applied AI/ML systems, data-driven platforms, and experimental digital experiences.
Fusing volumetric capture, cinematic framing, and AI tooling to build soulful immersive stories.
Generative storytelling, procedural systems, and tactile feel across indie releases and festival demos.
LLM based mystery game!
Procedurally Generated Dungeon Adventure Game
Use delayed shadow mechanics to solve puzzles
Collect 3 artifacts without getting caught!!
Selected publications exploring creative AI, narrative agents, and human-machine interaction.
♦ Synthetic Dataset Creation: Generated a large dataset using a constructive PCG algorithm, with content labeled by a Large Language Model (LLM) to facilitate text-conditioned generation.
♦ Model Training: Conditioned two PCGML models—a diffusion model and the five-dollar model—on the synthetic dataset to enable content-specific generation.
♦ Text-to-Game-Map (T2M) Task: Introduced T2M as an alternative to text-to-image tasks, allowing for the generation of game maps based on textual descriptions.
♦ Evaluation Metrics: Assessed the models' performance by comparing variety, accuracy, and quality against the baseline constructive algorithm, demonstrating the effectiveness of the distillation process.
Extended essays, interviews, and editorials.
Available for research collaborations, immersive commissions, and creative tech residencies. Drop a message and I’ll respond within a day.