Building intelligent systems & scalable web applications that move the needle.
Hey there! I'm Kashfur Rahman, a Computer Science Engineer with a deep passion for Python & Data Science and Full Stack Python Development. I thrive at the intersection of intelligent systems and clean, scalable web architecture.
I specialise in building end-to-end ML pipelines, REST APIs with FastAPI & Django, and modern data-driven applications. I love turning messy datasets into actionable insights and transforming ideas into production-ready software.
When I'm not writing code, I'm reading papers, writing tech articles, or contributing to open-source projects that push the boundaries of what machines can understand.
Currently open to: Full-time roles · Internships · Freelance
Technologies I use to build intelligent systems and scalable applications.
A curated selection of personal, academic, and professional projects.
End-to-end ML pipeline for predicting telecom customer churn using XGBoost & SHAP explainability. Deployed as a FastAPI microservice with real-time inference.
End-to-end ML pipeline for predicting telecom customer churn using XGBoost & SHAP explainability. Deployed as a FastAPI microservice with real-time inference.
Full-stack Kanban project management app with real-time updates via WebSockets, JWT auth, and a React frontend backed by Django REST Framework.
Interactive cricket analytics dashboard with Plotly Dash, analyzing 15 years of IPL data. Includes player performance metrics, win probability charts, and venue heatmaps.
BERT-based sentiment analysis system fine-tuned on product reviews. Supports multi-class classification with confidence scores and REST API endpoint for integration.
High-performance financial data aggregation API built with FastAPI and Redis caching. Serves real-time & historical stock data with rate limiting and API key auth.
I write about data science, machine learning, and Python development.
A practical guide to interpreting black-box models using SHAP — with real code examples on tabular data for production use cases.
From authentication to rate limiting — a deep dive into building scalable, documented, and testable REST APIs using FastAPI in 2024.
A systematic approach to exploratory data analysis — the exact checklist I use before building any ML model, with Pandas and Matplotlib examples.
Whether it's a job opportunity, freelance project, or just a conversation about tech — my inbox is always open.
Last updated: 2025 · PDF format · ATS-friendly
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