☕️PhD in Mechanical Engineering | Master in Data Science
📧 he.seymur@gmail.com
About Me
I’m a mechanical engineer and data scientist with experience in teaching, mentoring, and doing research in material design, manufacturing, and AI-driven optimization. Currently serving as Assistant Director of Undergraduate Studies and Lecturer at Harvard SEAS, I’m now seeking to apply my technical and leadership skills to impactful roles in industry.
- Machine Design
- Additive Manufacturing
- Artificial Intelligence
- Computer Vision
- Deep Neural Network
- Large Language Models
- Reinforcement Learning
PhD Mechanical Engineering
Tennessee Tech University
ALM Master in Data Science
Harvard University, Extension School
BSc Industrial Engineering
Baku Engineering University
My research interest is on developing advanced materials and manufacturing solutions using additive manufacturing, AI, and data-driven design. My goal is to bridge research and real-world application—solving meaningful problems that improve how we design, build, and live.
I’m especially interested in using AI and automation to enhance product performance, sustainability, and decision-making in engineering. I also enjoy writing about design, manufacturing, and intelligent technologies.
My skill sets in AI includes:
- Expertise in Python and OpenAI API, Hugging Face, Langchain.
- Deep learning frameworks: experience in TensorFlow, Keras, and Pytorch.
- Deep Reinfrocement Learning
- Neural Networks for Differential Equations
- Deep Learning in Physical Sciences
- Advanced Transformer Architectures (Attention Models)
- Graph Neural Networks (GNNs)
- Large Language Models (LLMs) and LangChain
- Stable Diffusion (Image Generation)
- Multi-GPU Training (CUDA, PyTorch Distributed Data Parallelism)
- Generative Adversarial Networks (GANs)