Lead research and development initiatives in the GenAI domain focusing on cuttingedge technologies like Large Language Models RetrievalAugmented Generation and autonomous agents.
Design and implement advanced workflows for integrating LLMs into realworld applications across various domains such as Finance Insurance and Healthcare.
Develop and finetune domainspecific LLMs to optimize performance using techniques like prompt engineering adapterbased tuning or lowrank adaptation.
Architect and implement scalable knowledge graph solutions to enhance reasoning capabilities in AI systems.
Drive the development of retrievalaugmented systems by combining LLMs with document retrieval clustering and search techniques.
Collaborate with crossfunctional teams to prototype test and deploy solutions in production environments both onpremise and in the cloud.
Mentor and guide junior researchers and engineers to foster innovation and ensure highquality deliverables.
Stay at the forefront of AI advancements by reading adapting and implementing cuttingedge research to solve realworld challenges.
Document research findings methodologies and implementations for internal and external stakeholders.
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