I am a Bioinformatics Engineering undergraduate at Bangladesh Agricultural University, passionate about building software that helps solve biological problems.

My interests lie at the intersection of bioinformatics, computational biology, scientific software engineering, artificial intelligence, and automation. I enjoy transforming biological data into reproducible computational workflows and building practical tools for researchers.

Currently, I'm strengthening my foundation in genomics while expanding into AI-driven bioinformatics and computational drug discovery. My long-term goal is to contribute to impactful research, open-source scientific software, and next-generation computational biology.

"I enjoy building software that bridges biology and computation—transforming biological questions into reproducible, practical, and open scientific tools."

Building software that solves real biological and computational problems.

Local Biological Sequence Alignment Desktop Application

A lightweight desktop application for local biological sequence alignment using Biopython. Designed for privacy-conscious analysis by performing sequence comparisons entirely on the user's machine without relying on external web services.

Highlights

• Local FASTA-based sequence alignment
• Thread-safe asynchronous processing
• Desktop-first scientific workflow
• Privacy-focused genomic analysis

Tech Stack

Python Biopython Tkinter FASTA

Status

🟢 Stable

Gene & Protein Information Explorer

Desktop software that integrates NCBI and UniProt APIs to retrieve, organize, and visualize biological information from multiple public databases through a unified interface.

Highlights

• Multi-database querying
• Batch gene/protein lookup
• Structured biological data presentation
• Exportable reports
• Live progress tracking

Tech Stack

Java NCBI API UniProt API JSON

Status

🟢 Stable

Scientific Programming      ████████████░░  85%

Bioinformatics              ███████░░░░░░  55%

Computational Biology       ██████░░░░░░░  50%

Scientific Computing        ████████░░░░░  65%

Research Skills             ████░░░░░░░░░  35%

Artificial Intelligence     ███░░░░░░░░░░  30%

Machine Learning            ██░░░░░░░░░░░  20%

Computational Drug Design   ██░░░░░░░░░░░  20%

Every repository represents another step toward becoming a computational biologist capable of building software that advances biological research.

• 🧬 Bioinformatics software
• 🔬 Computational biology research
• 🐍 Python scientific tools
• 📊 Biological data visualization
• ⚙️ Reproducible computational workflows
• 🌍 Open-source scientific infrastructure
• 🤖 AI applications in biology
• 💊 Computational drug discovery