About
Highly accomplished Computer Science PhD student with a strong focus on Machine Learning, Artificial Intelligence, and Reinforcement Learning. Proven ability to develop advanced algorithms for complex scientific and real-world problems, including astrophysics and pilot training. Eager to leverage deep research expertise and technical leadership to drive innovation in challenging R&D environments.
Work
Los Alamos National Laboratory
|Graduate Student Intern 2
Los Alamos, New Mexico, US
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Summary
Leading advanced machine learning algorithm development for a NASA-funded astrophysics research project, applying reinforcement learning to enable scalable multimessenger analysis.
Highlights
Developed advanced machine learning algorithms for pulsar parameter estimation utilizing photometric X-ray data as part of the NASA-funded "Revolutionizing Neutron Star Parameter Inference through Machine Learning" project.
Implemented sophisticated reinforcement learning techniques to enable scalable and efficient analysis within the complex domain of multimessenger astrophysics.
Contributed to cutting-edge research in Machine Learning, Reinforcement Learning, and Astrophysics, pushing the boundaries of scientific data analysis.
New Mexico State University
|Graduate Research Assistant
Las Cruces, New Mexico, US
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Summary
Conducted advanced AI research and system development, applying reinforcement learning and large language models to augment flight training and narrative generation.
Highlights
Engaged in advanced research on Augmenting Flight Training with AI, efficiently training pilots using Reinforcement Learning and contributing to ongoing projects.
Developed systems and conducted research for a project titled Graph-based Narrative Generation using Large Language Models in Soft Skills Training.
Performed comprehensive literature reviews and comparative studies on attention-based vs. memory-based approaches of Knowledge Tracing, informing novel research directions.
Collaborated effectively with Illumia Labs, EdTeKLA Research Group, and IRL Lab (University of Alberta) on interdisciplinary AI/ML research initiatives.
New Mexico State University
|Graduate Teaching Assistant
Las Cruces, New Mexico, US
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Summary
Facilitated computer science courses, provided student guidance, and collaborated on curriculum development to enhance overall learning experiences.
Highlights
Assisted in the facilitation of diverse courses, including Artificial Intelligence, Intelligent Agent, Object-Oriented Programming, Data Structures, and Operating Systems for over 100 students.
Provided targeted guidance to students, clarifying complex programming concepts and fostering deeper understanding, resulting in improved student performance.
Collaborated with professors to develop comprehensive course materials, graded assignments, and exams, significantly enhancing the overall learning experience for students.
New Mexico State University
|Graduate Assistant (Software Development and Database Management)
Las Cruces, New Mexico, US
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Summary
Developed financial software, migrated reporting scripts, and automated data processing to improve efficiency and reliability for facilities and services.
Highlights
Developed a comprehensive software solution for FS Accounting, containing a financial workbook that ensured monthly updates and accurate year-end closings.
Converted all reporting scripts from Oracle to MySQL, successfully facilitating a seamless Banner transition from local servers to the cloud.
Automated reporting scripts into scheduled tasks, significantly improving data processing efficiency and reliability by an estimated 25% for critical operations.
E-Zone Limited
|Data Engineer I - Wireless Network
Dhaka, Dhaka Division, Bangladesh
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Summary
Led key wireless network delivery projects and a team of engineers, significantly reducing operational costs through Python-based data processing tools.
Highlights
Executed the LTE TDD Delivery Project as a Wireless Key Member, marking its first successful implementation in Bangladesh.
Directed a high-performing team of 10 network maintenance engineers in the RAN Delivery Project, ensuring efficient and timely project completion.
Developed Data Processing and Data Extraction tools utilizing Python, which maximally reduced operational costs by streamlining network maintenance workflows.
Volunteer
AAAI
|Program Committee Member
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Summary
Served as a member of the Program Committee for the AAAI 2026 conference.
PLOS One Journal
|Research Article Reviewer
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Summary
Reviewed research articles for PLOS One Journal, contributing to the peer-review process.
Mentors Without Borders
|Programming Mentor
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Summary
Mentored students in programming, fostering skill development and academic growth.
British Council Active Citizens
|Social Action Project Leader
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Summary
Led a social action project focused on raising awareness of cervical cancer within the community.
National High School Programming Contest (NHSPC)
|Organizer
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Summary
Organized the National High School Programming Contest.
Education
New Mexico State University
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Doctor of Philosophy
Computer Science
Grade: CGPA 3.85
New Mexico State University
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Master of Science
Computer Science
Grade: CGPA 3.85
Khulna University of Engineering & Technology
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Bachelor of Science
Computer Science and Engineering
Grade: CGPA 3.17
Awards
Preparing Future Faculty Award
Awarded By
NMSU Graduate School
Recognized for commitment to future faculty development and excellence.
Honors Cord for Academic Excellence
Awarded By
NMSU Graduate School
Awarded for outstanding academic achievement during Master's degree studies.
Runner-up, Google Developer Student's Club- NMSU Programming Contest
Awarded By
Google Developer Student's Club- NMSU
Achieved runner-up position in the Fall 2023 and Fall 2024 Programming Contests.
Fastest Solver Bounty Winner, GDSC-NMSU Programming Contest
Awarded By
GDSC-NMSU
Won fastest solver bounty in the Spring 2023, Fall 2023, and Fall 2024 Programming Contests, demonstrating exceptional problem-solving speed.
Huawei Asia Pacific Region Galloping Horse Award for H1 and H2
Awarded By
Huawei
Received prestigious award for outstanding contributions and performance in the Huawei Asia Pacific Region.
Top Performer, Asia Pacific Region Digital Delivery-Programming Orchestration (Python)
Awarded By
E-Zone Limited
Recognized as a top performer in programming orchestration using Python, demonstrating high efficiency and impact.
Publications
Memory vs. Attention: Understanding Their Roles in Deep Knowledge Tracing
Published by
International Conference on Learning Analytics and Knowledge (LAK)
Summary
Presented a poster track on the comparative roles of memory and attention mechanisms in deep knowledge tracing.
GLOSS: An LLM-Guided Tutoring System for Social Skills Training
Published by
Graduate Student Council Lightning Talk, Graduate Research and Arts Symposium
Summary
Presented a lightning talk on the LLM-Guided Tutoring System for Social Skills Training.
Augmenting Flight Training with AI to Efficiently Train Pilots Using Reinforcement Learning
Published by
Graduate Student Council Lightning Talk, Research and Creativity Week
Summary
Presented a lightning talk on leveraging AI and reinforcement learning to enhance pilot flight training efficiency.
Published by
International Conference on Advanced Engineering, Technology and Applications (ICAETA)
Summary
Presented research on classifying diabetic retinopathy from retinal images using various machine learning approaches.
Stock Price Prediction: A Comparative Study between Traditional Statistical Approach and Machine Learning Approach
Published by
International Conference on Electrical Information and Communication Technology (EICT)
Summary
Published a comparative study on stock price prediction using traditional statistical and modern machine learning approaches.
Languages
English
Bengali
Skills
Programming Languages
Python, C, C++, C#, R, Java, PL/SQL.
Web Technologies
NodeJs, ASP.NET, Laravel, JavaScript, HTML, CSS, AJAX, PHP.
Databases
SQL, MySQL, Microsoft SQL Server, MongoDB, Firebase.
Machine Learning & AI
Reinforcement Learning, Knowledge Tracing Models, Machine Learning, Artificial Intelligence, LLM, Behavior Cloning, Adversarial Search, Neural Network, Data Mining.
Development Tools & Methodologies
Git, Object-Oriented Programming, Data Structures, Operating Systems, Software Engineering, Web Development, Data Analysis, System Development.
Frameworks & Libraries
NetworkX, BioPython, BUSCO, Godot, Android.
Interests
Problem Solving
Machine Learning
Artificial Intelligence
Data Analysis
Web Development
Software Engineering
Projects
Narrative Generation using Large Language Models in Soft Skills Training
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Summary
Ongoing project focused on generating narratives for soft skills training using advanced AI.
Augmenting Flight Training with AI to Efficiently Train Pilots Using Reinforcement Learning
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Summary
Ongoing project applying AI and reinforcement learning to improve pilot training efficiency.
Human vs AI Connect4: A Comparison of Minimax, Expectimax and Machine Learning Approaches
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Summary
Comparative study of AI approaches (Minimax, Expectimax, Machine Learning) in the game of Connect4.
Household Chores with Samuel
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Summary
A game designed to raise awareness about the neurodiverse population.
Most Frequent K-mer finding and K-mer assembling on different Coronaviruses
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Summary
Research project on identifying frequent K-mers and assembling them from various coronavirus genomes.
Diabetes Predictive Modeling Leveraging: Machine Learning for Early Detection
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Summary
Project focused on developing machine learning models for early detection of diabetes.
Android application for drinking water tracking Just-in-Time Adaptive Invention
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Summary
Developed an Android application for tracking drinking water intake with adaptive interventions.
Website for Performance Evaluation and Architecture Research Lab
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Summary
Developed a website for the Performance Evaluation and Architecture Research Lab at Klipsch School of Electrical and Computer Engineering.