Seymur Hasanov

Seymur Hasanov

PhD in Mechanical Engineering
AI/Technology Enthusiast
📧 he.seymur@gmail.com

Harvard John A. Paulson School of Engineering and Applied Sciences

Professional Summary

About Me

I am a mechanical engineer and data scientist working at the intersection of hardware research and artificial intelligence. I hold a PhD in Mechanical Engineering from Tennessee Tech University and a Master’s in Data Science from Harvard University.

Currently, I serve as the Assistant Director of Undergraduate Studies and Lecturer at Harvard SEAS. In this role, I teach courses in Computer-Aided Machine Design and Material Selection while mentoring students through complex engineering capstone projects. My previous experience includes designing thermo-mechanical systems and conducting research on functionally graded materials.

I believe the best innovation happens when you combine data-driven insights with hands-on engineering. I don’t just build models—I build parts, test systems, and iterate on designs. I am passionate about using AI to optimize manufacturing processes and create smarter engineering tools.

After years in academia, I am now looking to bring my technical leadership and expertise in AI and manufacturing to impactful roles in industry.

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Education

PhD Mechanical Engineering

Tennessee Tech University

ALM Master in Data Science

Harvard University, Extension School

BSc Industrial Engineering

Baku Engineering University

Interests

Machine Design Additive Manufacturing Generative AI & Agentic AI Computer Vision Large Language Models Deep Reinforcement Learning MLOps & AI Systems
📚 Research & Industry Focus

My research focuses on developing advanced materials and manufacturing solutions using additive manufacturing, AI, and data-driven design. I bridge academic research with real-world applications—solving meaningful problems that improve how we design, build, and engineer the future.

I’m especially passionate about using AI and automation to enhance product performance, sustainability, and decision-making in engineering. I also enjoy writing about design, manufacturing, and intelligent technologies.

🤖 AI & Machine Learning Expertise

Core Frameworks & Tools

  • Python, OpenAI API, Hugging Face, LangChain, LlamaIndex
  • TensorFlow, Keras, PyTorch
  • Multi-GPU Training (CUDA, PyTorch Distributed Data Parallelism)

Deep Learning Specializations

  • Advanced Transformer Architectures & Attention Models
  • Large Language Models (LLMs) and Fine-tuning
  • Computer Vision & Image Recognition
  • Generative AI: Stable Diffusion, GANs

Advanced Topics

  • Deep Reinforcement Learning
  • Graph Neural Networks (GNNs)
  • Physics-Informed Neural Networks (PINNs)
  • Neural Networks for Differential Equations