Harinath Reddy Cingapuram

Computer 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.

Research keywords

large language modelsLLMstransfer learningretrieval-augmented generationscalable ML pipelines

Open collab calls

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.