Building intelligent solutions through machine learning, data science, and explainable AI. Transforming raw data into meaningful, interpretable insight.
A CSE student on a mission to master AI and Data Science — building toward a career in ML research and data-driven systems.
I'm a Computer Science & Engineering student with a deep passion for Machine Learning, Data Science, and Artificial Intelligence. My academic journey is shaped by a research-first mindset — I don't just use models, I seek to understand why they work and how to make them transparent.
From training classical ML models like Random Forest, SVM, and KNN to exploring explainability frameworks like SHAP and LIME, I'm constantly expanding my toolkit. My future goal is to build a career in Data Science — working on AI systems that generate meaningful, interpretable insights from complex data.
Beyond coursework, I participate in AI competitions, pursue certifications, and conduct research to stay at the cutting edge of the field.
A comprehensive skill set built around ML research, data pipelines, and software engineering.
Projects spanning systems programming, compiler design, and applied software engineering.
A fully functional ATM simulation featuring core banking operations, secure PIN authentication, and a polished Java Swing interface backed by a live MySQL database.
A comprehensive Bash CLI project automating critical sysadmin tasks through modular, reusable shell scripts with a structured menu-driven interface.
A lightweight interpreter-based compiler for a custom logic scripting language built using Lex and Yacc — demonstrating the full compiler pipeline from tokenization to execution.
Pushing the boundaries of Explainable AI to create transparent, interpretable intelligent systems.
Developing transparent and interpretable ML models to predict drug addiction risk factors. Applies SHAP and LIME to make black-box classifiers understandable for healthcare professionals — enabling data-driven, explainable intervention strategies.
Building an intelligent multi-modal system that evaluates presentations using NLP and computer vision — assessing content quality, slide design, and delivery metrics to provide objective, AI-driven feedback to presenters and educators.
Early career experience that shaped my professional skills and perspective.
Completed a one-month professional training program focused on software development practices, technical skill-building, and real-world project exposure. Collaborated in team-based learning initiatives and contributed to technology-oriented workshops.
Verified expertise from recognized institutions, competitions, and online platforms.
Practical training that extended my capabilities into embedded systems and hardware.
Learned IoT architecture, communication protocols, and device connectivity paradigms for building smart systems.
Worked hands-on with sensors and microcontrollers for real-time data acquisition and processing.
Explored real-world IoT applications in smart home automation and industrial monitoring.
Studied integration of IoT hardware with software data pipelines and monitoring dashboards.
Community involvement and extracurricular pursuits that round out my profile.
Active volunteer at Daffodil International University events — supporting event logistics, fostering community, and contributing to a collaborative academic environment.
Participated in Daffodil AI Club activities including the ModelX-AI Challenge — competing in an AI-powered multi-model presentation assessment project.
Committed to self-driven growth through online courses, research papers, and open-source exploration in machine learning, data science, and AI.
Open to data science roles, AI research collaborations, and internship opportunities.
I'm actively looking for data science internships, research collaborations, and AI project opportunities. If you're working on something exciting — reach out.
Connect Across Platforms
Follow my work, research, and journey across GitHub, LinkedIn, and Facebook.
Explore my projects, compiler work, shell scripts, and ML experiments.
Connect professionally. See my education, certifications, research, and career updates.
Follow my personal updates, event activities, and community engagement at DIU.