AI/ML Engineer Enthusiast
- Email: abubinfahd@gmail.com
- Mobile: +880 1401 019802
- Location: Tolarbar, Mirpur 1, Dhaka
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📘 Biography
As a passionate Machine Learning Engineer enthusiast, I specialize in building intelligent systems using scikit-learn, PyTorch, and TensorFlow for machine learning and deep learning applications. I have hands-on experience with OpenCV, YOLO in computer vision, HuggingFace, and Transformers for natural language processing tasks. I deploy models using FLASK, Docker, and Streamlit, while leveraging MLflow, DVC, and GitHub Actions for efficient MLOps. I am also proficient in cloud platforms like AWS, ensuring scalable solutions for end-to-end machine learning pipelines. Always eager to learn and apply new techniques, I am driven to solve complex problems and contribute to the AI ecosystem.
🎓 Education
Khulna University – Khulna, Bangladesh
Master of Science in Statistics(Thesis)
January 2019 – December 2024
- CGPA: 3.80 / 4.00
- Thesis: Banknote Serial Number recognition using Advanced Deep Learning
- Courses: (To be listed)
Khulna University – Khulna, Bangladesh
Bachelor of Science in Statistics
January 2024 – July 2025
- CGPA: 3.49 / 4.00
- Project: Sentiment Analysis on Bangladeshi English Newspaper Headlines: A Comparative Study of Machine Learning Models
- Courses: Probability, Calculus, Algebra and Geometry, C Programming, Differential Equations, Numerical Analysis, Inference, Regression, Multivariate analysis, Data Mining, Data Analysis
Cantonment College, Jashore – Jashore, Bangladesh
Higher Secondary Certificate, Science
June 2015 – July 2017
Police Line Secondary School, Jashore – Jashore, Bangladesh
Secondary School Certificate, Science
January 2006 – May 2015
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GPA: 5.00 / 5.00
🧠 Skills Summary
🐍 Programming Language: Python, C, C++
🧠 ML/DL: scikit-learn, PyTorch, TensorFlow, ML & DL(CNN, RNN) algorithms
🖼 Computer Vision: OpenCV, YOLO
💬 NLP: HuggingFace, spaCy, NLTK, Transformers
🚀 Deployment: FLASK, Docker, Streamlit
🛠 MLOps: MLflow, DVC, GitHub Actions
☁️ Cloud: AWS
💼 Work Experience
(Details of any professional roles held)
🔬 Research Experience
Research Assistant
Jan 2023 – April 2025
Khulna University
- Spearheaded data analysis and statistical programming to support machine learning-based academic research.
- Authored one research paper and co-authored two others; one currently under review, one submitted, and another in preparation for submission.
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Demonstrated strong analytical skills, academic writing proficiency, and a proactive approach to advancing research in the field of machine learning.
📚 Publications
- Book Chapters: (List here if applicable)
- Paper (List here if applicable)
🗣️ Language Proficiency
- Bangla(Native)
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English(Fluent)
🏆 Honors and Awards
National Science and Technology (NST) Fellowship, 2025
Awarded by the Ministry of Science and Technology, Bangladesh for academic excellence in Statistics.
🎓 Online Courses & Certifications
Research Methodology (Basic to Advanced)
October 2023
Research Help Bangladesh
- Completed a comprehensive training in research methodology, covering both basic and advanced research techniques, including data collection, analysis, and academic writing.
Data Insight
July 2022
Data Scientist Program
- Completed a comprehensive program in data science, focusing on data analysis, machine learning, and statistical modeling.
DataCamp
Dec 2022
Data Scientist with Python
- Completed the Data Scientist with Python course, gaining proficiency in Python for data analysis, visualization, and machine learning.
🤝 Volunteer Work
Voirobi
2019-2023
Khulna University
General Secretary
- A leading music club at Khulna University, fostering talent and organizing vibrant musical events, workshops, and cultural programs.
- Actively contributed to the club’s growth and creative direction, building a strong platform for aspiring musicians.
Rotaract Club of Khulna University
2019-2020
Member
- Raised funds for flood-affected people.
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Volunteered at the KU Job Fair and the event Thirst Optimist.
📇 References
Md Salauddin Khan
Associate Professor, Statistics Discipline, Khulna University, Bangladesh
- Email: (To be added)
- Phone: (To be added)
📜 Declaration
I hereby declare that the information provided in this CV is true and accurate to the best of my knowledge.
Thank you for visiting my CV repository. For more details or opportunities, feel free to contact me via email or phone.