Summary
Aritra Biswas is a Machine Learning Scientist with 13 years of technical experience and eight years focused on ML and AI research, currently advancing AI safety, hallucination detection, and reward modeling. He has trained judge models that outperform leading LLMs on hallucination detection and builds evaluations for agent failure modes, tool misuse, toxicity, and bias. His background spans product-facing roles at Spotify and Google to applied research at Datadog, blending rigorous mathematical and experimental skills with client communication and production impact. Based in New York, he now works at Layer Health, where he applies RL and GRPO techniques to practical observability and autonomous agent problems. Notably, his work bridges lab-grade experimentation (Caltech physics training) with deployable ML systems that anticipate real-world adversarial behaviors.
13 years of coding experience
9 years of employment as a software developer
California Institute of Technology
English, Bengali, Portuguese, French, Spanish