About Me

AI Researcher & Full-Stack Developer

I am a passionate Computer Science student at North South University with a strong focus on Applied AI and Full-Stack Development. Currently maintaining a CGPA of 3.85/4.00 and recognized with a Merit Scholarship for being in the top 1% of my class.

My research and development work spans across cutting-edge areas including Temporal Action Localization, Efficient LLM Deployment, Retrieval-Augmented Generation systems, and scalable web applications. I have published research at IEEE AICCSA 2025 and developed multiple production-ready AI-powered applications.

I am actively seeking research opportunities and collaborations in AI/ML, with a particular interest in efficient model deployment and real-world applications of large language models.

Education

Academic background and achievements

North South University

Bachelor of Science in Computer Science and Engineering

Sep 2021 – Present • Dhaka, Bangladesh

CGPA: 3.85/4.00

Key Achievements:

  • Merit Scholarship - Top 1% of class
  • Published research at IEEE AICCSA 2025
  • Led multiple AI and full-stack development projects

Technical Skills

Expertise across AI, full-stack development, and data science

Languages & Frameworks

PythonJavaScriptTypeScriptC/C++PHPJavaNode.jsReact.jsNext.jsFlaskFastAPIExpress.js

Machine Learning & AI

PyTorchScikit-learnHuggingFace TransformersLangChainLLamaIndexOllamaRAGLLM/SLM Fine-tuningModel PruningPrompt EngineeringComputer VisionNLP

Data & Visualization

PandasNumPyMatplotlibSeabornOpenCVData AnalysisFeature Engineering

Database & DevOps

PostgreSQLMySQLMongoDBREST APIsGitDockerVercelDatabase Design

Tools & Productivity

GitHubTrelloJSDocJestAgile/ScrumMS Office SuiteTechnical Writing

Research Interests

Current focus areas and expertise

Applied AI and Machine Learning

Focused on developing efficient and practical AI solutions for real-world applications

1Temporal Action Localization in Videos
2Efficient LLM Deployment (Pruning, Quantization)
3Retrieval-Augmented Generation (RAG) Systems
4Small Language Models for Edge AI
5AI-Integrated Web Interfaces
6Cloud-Ready ML Pipelines

Academic Philosophy

My research philosophy centers on bridging the gap between cutting-edge AI research and practical, real-world applications. I believe that the most impactful research is that which not only advances theoretical understanding but also provides tangible benefits to society.

I am particularly passionate about making AI more accessible and efficient. Through my work on LLM pruning and RAG systems, I aim to democratize access to powerful AI capabilities, enabling their deployment in resource-constrained environments and underserved communities.

In my development work, I prioritize creating scalable, maintainable systems that integrate AI capabilities seamlessly. I believe in the power of interdisciplinary collaboration and am always eager to learn from diverse perspectives.

Future Goals

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Graduate Studies

Pursuing advanced research in efficient AI systems and model optimization

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Research Impact

Publishing impactful research that advances AI accessibility and efficiency

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Global Collaboration

Collaborating with researchers worldwide on meaningful AI projects