Md. Zahid Hasan

Highly skilled and innovative Machine Learning Engineer with extensive experience in developing and deploying advanced AI solutions. Demonstrated expertise in generative AI, large language models (LLMs), and computer vision. Proven ability to design and implement cutting-edge machine learning systems, manage end-to-end projects, and create impactful AI-driven applications. Seeking an opportunity to leverage my technical prowess and collaborative spirit in a forward-thinking organization, contributing to transformative AI initiatives while continuously expanding my knowledge and skills.

• Large Language Model Operations (LLMOps) Specialization, Duke University, https://www.coursera.org/account/accomplishments/specialization/certificate/ZKDMLRHWFQE7
• Machine Learning Engineering for Production (MLOps) Specialization, DeepLearning.AI, https://www.coursera.org/account/accomplishments/specialization/certificate/ZKDMLRHWFQE7
• Generative AI with Large Language Models, DeepLearning.AI, https://www.coursera.org/account/accomplishments/certificate/NKJW6TCQ79EL
• Deep Learning Specialization, DeepLearning.AI, https://www.coursera.org/account/accomplishments/specialization/3FAXU6W2JQB6
• Generative Adversarial Networks (GANs) Specialization, DeepLearning.AI, https://www.coursera.org/account/accomplishments/specialization/NC63336LDV65
• Machine Learning Specialization, Stanford University, https://www.coursera.org/account/accomplishments/specialization/RR3HWVRICHHR
• AWS Cloud Technical Essentials, AWS, https://www.coursera.org/account/accomplishments/certificate/CUTLAKCTKPTV
• Agile Project Management, Google, https://www.coursera.org/account/accomplishments/certificate/7QN7YWVCSWYR

• Aspire Leader, 01/01/23, Selected from 10,000+ applicants at Harvard Business School.
• SEU-Inter-university Programming Contest, 01/01/19, 3rd Place.
• Dutch Bangla Bank HSC Scholarship, 01/01/17, Awarded.
• Hura, 01/01/25, Selected for the AI Action Summit 2025 at the Paris Peace Forum (Top 50 out of 770 projects).

Hura: Decentralized Training for LLMs, Developed a decentralized framework for training large language models (LLMs) using federated learning., https://parispeaceforum.org/projects/hura-decentralized-train-llm/ RAG Chatbot App, Developed a chatbot to retrieve information from PDFs., https://github.com/zahidhasancode/RAG-Chatbot-Application Luna Chatbot, Built a chatbot using Large Language Models (LLMs)., https://github.com/zahidhasancode/Fine-Tuning-Llama-Custom-dataset Fine-Tuning Yi-34B, Fine-tuned the Yi-34B model on a custom dataset., https://github.com/zahidhasancode/Finetuning-Yi-34B-using-custom-dataset LLaMA 7B Enhancement, Integrated and enhanced the LLaMA 7B model with a custom dataset., https://github.com/zahidhasancode/Fine-Tuning-Llama-Custom-dataset Native Fruit Classification, Used ResNet-50 for fruit classification. Shirt Defect Detection, Developed a CNN-based model for defect detection. Time Series Forecasting, Implemented LSTM autoencoders for forecasting. Resume Classification, Built an NLP-based system for resume classification. Garments Worker Tracking, Used YOLO V8 for worker tracking and monitoring. Sleep and Diet Study, Analyzed the impact of sleep patterns on dietary habits during COVID-19. Fake News Detection, Built a machine learning model for fake news detection.

Brand Ambassador, Southeast University, 01/01/19, 12/01/22, Promoted university events and initiatives to prospective students., Organized campus tours and information sessions.

• Forecasting Student Clothes Purchase Intention in Bangladesh: A Machine Learning Approach, https://www.ijrte.org/portfolio-item/F74950311623/
• Prediction of University Students' Purchase Intention Based on Bangladeshi Branding Clothes Using Machine Learning, Southeast University Journal of Computing Science