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Sakeeb91/README.md

👋 Welcome

My name is Shafkat Rahman, a Full-Stack Developer passionate about building meaningful software solutions that solve real-world problems. My journey into software development is unique—grounded in physics, shaped by finance, and driven by technology.

I hold a Bachelor's degree in Physics from Concordia University, Montréal, where I conducted undergraduate research in computational physics. After graduation, I spent 2 years as a Private Equity Research Analyst, honing my skills in data analysis, research methodology, and problem-solving in high-stakes financial environments.

In 2022, I made the leap into programming, completing Le Wagon's Data Science bootcamp and immersing myself in software development. The emergence of generative AI in 2024-2025 accelerated my learning, and I've been building production-ready applications ever since. While I'm early in my professional development career, my foundation in computational thinking, analytical rigor, and continuous learning drives me to create impactful, user-centered solutions.

Current Projects

EchoCall – AI Companion for Seniors

An AI-powered conversational assistant designed to combat loneliness and social isolation among seniors. EchoCall provides empathetic, natural conversations using advanced language models, helping elderly users stay connected and engaged.

Focus Areas: AI/ML integration, conversational design, accessibility, user experience for non-technical audiences

Service Pronto – Restaurant QR Code Ordering System

A full-stack application enabling seamless digital ordering for restaurants through QR code technology. Currently under development with commercial deployment planned.

Tech Stack: Full-stack development, payment integration, real-time order management (Details limited due to NDA)

Education & Background

  • B.Sc. in Physics – Concordia University, Montréal
    • Computational Physics Research (Undergraduate)
  • Data Science Bootcamp – Le Wagon
  • Private Equity Research Analyst – 2 years of professional experience in financial analysis and data-driven decision making

Philosophy

I believe in consistency, hard work, and never giving up. What excites me most about software engineering is the ability to build—to transform ideas into tangible solutions that make people's lives better. My background in physics taught me to think systematically, finance taught me to solve complex problems under pressure, and development gives me the tools to create.

I embrace continuous learning and view every challenge as an opportunity to grow. The rapid evolution of AI and development tools has democratized software creation, and I'm committed to leveraging these technologies to build innovative, accessible, and impactful applications.

  • 🌍 Based in Montréal, Canada
  • 🔬 Background in Physics & Computational Science
  • 🤝 Open to collaborating on AI-driven applications, computational physics projects, and full-stack development

Technical Skills

Python Docker GCP Pandas PyTorch Scikit-learn TensorFlow SQLite

Connect with Me


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  1. charlgd/electricity-decipherer charlgd/electricity-decipherer Public

    Final project for DataScience Bootcamp Le Wagon - batch #1039 - Electricity curve decipherer

    Jupyter Notebook 3 3

  2. DocuBot DocuBot Public

    a conversational chatbot capable of answering queries based on multiple uploaded PDF documents

    Python

  3. lanchain-pdf-chat lanchain-pdf-chat Public

    simple pdf chat interface made with langchain and openai

    Python

  4. LLM-app-with-Langchain LLM-app-with-Langchain Public

    A simple LLM app built with Open AI API and Langchain

    Python