Nafiz Hamid, PhD
Managing Partner | Tensor Strategy Group
Dr. Nafiz Hamid is a distinguished AI strategist, machine learning engineer, and data scientist with over a decade of experience in advancing artificial intelligence, computational biology, and large-scale data analytics. As Managing Partner at Tensor Strategy Group, he leads AI-driven consulting engagements, empowering enterprises to leverage Generative AI, machine learning, and data science to drive innovation, optimize decision-making, and accelerate digital transformation.
Education & Research
A Harvard University postdoctoral fellow and alumnus of the prestigious Broad Institute of MIT and Harvard, Nafiz expanded the frontiers of AI applications in genomics and gene editing. His PhD in AI in Computational Biology from Iowa State University laid the foundation for his expertise in Generative AI, Large Language Models (LLMs), NLP, and graph-based AI. His work spans healthcare, life sciences, and enterprise AI, where he builds and deploys cutting-edge machine learning solutions that drive innovation and transform business capabilities.
Experience
Prior to Tensor Strategy Group, Nafiz held senior AI/ML roles at leading organizations, including Mayo Clinic, Nobias Therapeutics, and Harvard University, where he developed enterprise-scale AI chatbots, predictive ML models for drug discovery, and advanced knowledge graph systems for biomedical research. His expertise spans LLM training, retrieval-augmented generation (RAG), deep learning architectures, and cloud-native AI pipelines.
His technology career began at Samsung R&D Institute, where he served as a Software Engineer focusing on OS performance optimization and API development. This foundational experience in software development and systems engineering provided him with valuable insights into building robust, scalable solutions that would later inform his work in AI and machine learning.
Nafiz has also contributed to peer-reviewed research in AI with publications in top scientific journals. As a recognized expert in the field, he has reviewed papers for leading AI and computational conferences, including NeurIPS, ICLR, and ISMB.
Technical Expertise
His comprehensive technical stack encompasses advanced ML/AI technologies including PyTorch, TensorFlow, and industry-leading LLM frameworks, complemented by extensive experience with cloud platforms and MLOps tools. He has deep expertise in developing and deploying AI solutions using various LLM technologies (OpenAI, Claude, Amazon Bedrock), RAG frameworks (Langchain, LlamaIndex), and cloud services (AWS, Google Cloud), supported by strong programming skills in Python, R, and SQL. His proficiency extends to full-stack AI development, from data engineering and model development to production deployment using containerization and CI/CD practices.
Vision & Leadership
At Tensor Strategy Group, Nafiz partners with global enterprises, healthcare organizations, and tech firms to architect AI-powered solutions that drive operational efficiencies, enhance scientific discoveries, and unlock new business opportunities.
Areas of Expertise
- Generative AI & Large Language Models
- Machine Learning & Deep Learning
- Computational Biology & Bioinformatics
- Cloud-Native AI Development
- Enterprise AI Solutions
- Data Science & Analytics