Building CivicAI : Part 2: Training the ML Pipeline That Powers It All
How I built two ML models from scratch, a TF-IDF text classifier and Random Forest priority scorer and serialized them for production.
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Software Engineering student at FAST-NUCES University.
Software Engineering student at FAST-NUCES building full-stack AI-powered systems end-to-end. I work across the full stack: Frontend: React.js & Next.js Backend: FastAPI & Express.js Mobile: React Native ML & NLP: scikit-learn, TF-IDF, Logistic Regression, Random Forest , XG-Boost , ANN. Deployment: Docker, Render, Vercel I don't just study ML concepts — I integrate them into real products and ship them. Currently going deeper into backend architecture, scalable API design, MLOps, and production deployment pipelines. Because writing code is just the beginning — shipping systems that work in the real world is the goal.
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