Hasan Sayeed Email & Phone Number

Collaborated with SFSA to build a Retrieval-Augmented Generation (RAG) pipeline, integrating Large Language Models (LLMs) to enable SFSA members to access and interact with information from their Steel Casting Wiki in natural language. Developed and maintaining the system infrastructure to support scalable and efficient database access, continuously refining response quality based on user feedback and evaluation metrics.Key Contributions:- Replaced traditional keyword search with natural language query capabilities, significantly enhancing user experience in accessing SFSA’s Steel Casting Wiki.- Implementing quality assessment frameworks to improve the accuracy and relevance of RAG responses, ensuring consistent, high-quality information retrieval and generation.Integrated tools like PyTorch, Hugging Face Transformers, LangChain, and Elasticsearch to build a robust, scalable solution for information retrieval.

Using Machine Learning and Data Science approaches to solve Materials Science and Engineering Problems.Current Research & Development work:- Developing a Symmetry-Aware Diffusion Model for Text-Conditioned Crystal Structure Generation, leveraging periodic-E(3)-equivariant models and integrating Large Language Models (LLMs) to embed material descriptions for precise control in generation.- Building an LLM-driven pipeline for automated extraction of materials chemistry data from academic literature, enabling organized and efficient access to crucial information.- Accelerated crystal structure prediction within the Flexible Unit Structure Engine (FUSE) through machine learning, using graph neural networks and Bayesian optimization to improve discovery speeds.- Created generative neural networks, including a Wasserstein GAN to produce novel crystal structures, and developing xtal2png for encoding crystal data into machine learning-compatible image formats.- Constructed structure-based descriptors using word embeddings to improve property prediction for inorganic materials.- Synthesized and characterized single crystals of topological insulators, using advanced techniques like XRD, SEM/EDS, and XRF to explore potential applications in novel materials.

Salt Lake County, Utah, United States

- Utilizing arc melting and spark plasma sintering techniques to synthesize over 50 different sample types and helped understand their engineering needs.- Characterized the structural properties and surface morphology of the samples using X-ray diffraction, Energy Dispersive X-ray Spectroscopy.

Rs# 154,48/4, West Panisail, Zirani Bazar,. Kashimpur, Gazipur, Bangladesh

- Analyzed various types of battery failure including cyclic mechanical fatigue, prolonged over discharge effects and their consequences.- Evaluated various battery degradation mechanisms such as SEI layer growth, fracture in positive and negative electrodes caused by volume changes during operation and lithium platting on negative electrode instead of intercalating into it as observable consequences (fading power or capacity) on the cell level. Used Electrochemical Impedance Spectroscopy (EIS) for in-depth analysis.- Evaluated production suitability of high-energy-density battery materials (including Li-ion and other advanced formulations) of solar batteries, inverter batteries, traction dry cell batteries, golf cart and electric vehicle batteries.

Dhaka, Bangladesh.

Phd, Materials Science And Engineering, 3.95/4.0

Master Of Science - Ms, Materials Science, 3.94/4.0

Master'S Degree, Renewable Energy Technology

Bachelor Of Science - Bs, Mechanical Engineering

Certificate, Quantum Computing