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Harinath Reddy CingapuramComputer Science
University at Buffalo SUNY · United States
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About

I am Harinath Reddy Cingapuram, a research-focused AI/ML engineer and data scientist with experience across Fortune 500 companies and high-impact academic projects in generative AI and large language models. My work spans transfer learning, LLM alignment, and retrieval-augmented generation, with multiple peer-reviewed publications and ongoing conference submissions in applied machine learning and AI systems. I am particularly interested in building scalable, cloud-native ML pipelines and collaborating on research that bridges cutting-edge theory with real-world deployment on platforms such as AWS, Azure, and OpenShift.

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large language modelsLLMstransfer learningretrieval-augmented generationscalable ML pipelines
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Computer ScienceSeeking for Research Collaborators

Looking for researchers interested in advancing large language model alignment techniques, reinforcement learning from human feedback (RLHF), and supervised fine-tuning approaches. Open to collaboration on novel alignment methods, preference learning, and evaluation frameworks for generative AI systems.

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