Rohan Panda is a Senior Machine Learning Engineer with a decade of experience, currently focused on productionizing NLP and generative models for interactive experiences at LinkedIn after driving LLM pretraining, alignment, and MLOps at Inworld.ai. He holds an MS in ECE from Carnegie Mellon with an AI/ML systems concentration and a BE from BITS Pilani, blending rigorous academic research in distributed and low-resource learning with hands-on product engineering. His work spans NLP, computer vision, reinforcement learning and signal processing, with practical expertise in PyTorch, TensorFlow, scikit-learn and data pipelines. Rohan’s background includes interdisciplinary research collaborations across neuroimaging, medical imaging, and federated learning, giving him a knack for applying advanced models to real-world, safety-critical domains. He’s as comfortable tuning SFT/DPO/RPO alignment workflows and prompt tuning as he is designing evaluation metrics and deployment pipelines that keep models reliable in production.
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