Scientist And Unit Level Lead In Cognitive Ai And Generative Ai
Current-GenAI Architect and researcher: LLM and Foundation Models. Transformer based models: GPT(x), BERT family, Gemini. Opensource models like Falcon, Llama 2, Fine-tuning for Biomedical domain downstream tasks. Performance efficient fine-tuning, quantized tuning. Reinforcement Learning based tuning and RLHF. Direct Preference Optimization, Mixture-of-expert Models, Retrieval Augmented Generation, Retentive Network, Mamba, Guardrails and governance, Multi-modal models. Variational Autoencoder, GAN-Computer vision 2D/3D: object detection and semantic segmentation. (Fast, Faster) R-CNN, Unet, YOLO-x, SAM, NERF - Domain-rich consulting, product development and research leadership ; AI/ML, Deep Learning, cognitive automation in Healthcare; AI/ML based Revenue cycle Management (Product Development): claim denial propensity flagging, AIOps- Led, at the Business Unit level, the delivery governance, presales and product development management of AI based cognitive automation.-Involved in consulting (on AI/ML strategy and business solutions) in the space of cloud based transformation and modernization - Regularly involved at CXO level interactions.- Business Contribution: USD 6M+ annually.
