Services / Machine Learning & Reinforcement Learning
Machine Learning & Reinforcement Learning
ML and RL built on the math underneath, not just the API.
Classical ML (regression, classification, clustering, anomaly detection), deep learning for vision and NLP, single-agent RL (DQN, PPO, policy gradients), and Multi-Agent RL for coordination problems. Quantization for mobile. Mentored academic foundation in MDPs, Bellman equations, and optimization theory.
PyTorchscikit-learnStable-Baselines3RLlibJAXONNX
When it fits
Right call when…
- →Your problem has structure deep learning won't solve alone.
- →You need multi-agent coordination, not just a single predictor.
- →Quantizing a research model to ship on a phone is part of the brief.
Frequently asked