Design and build specialized small language models (SLMs) for healthcare, with expertise in post-training techniques (SFT, RLHF, DPO, PPO, GRPO) and reasoning-model training. Develop healthcare-grade evaluation frameworks covering hallucination detection, factuality, bias/fairness, and clinical benchmarking, while performing red teaming and adversarial testing to identify alignment failures and unsafe behaviors.… Apply PHI/HIPAA-aware data handling and produce model documentation for regulated clinical deployment. Work with open-weight foundation models (Llama, Qwen, Mistral, DeepSeek) using PyTorch and distributed training frameworks.
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