Machine Learning
Designing supervised pipelines end-to-end — feature engineering, class balancing (SMOTE), PCA, model selection between RF / XGBoost, and rigorous evaluation (ROC-AUC, F1, latency).

I'm Numair Fahad — a Computer Science student training as an AI / ML Engineer, with strong experience as a Full Stack & MERN Developer. I build production ML pipelines, ship full-stack products powered by LLMs, and engineer secure systems end-to-end.
Learning Python programming in advance and depth — advanced OOP, decorators, generators, asyncio concurrency, typing with Pydantic, profiling, and pytest — so my ML code ships production-grade.
more on my About page →Designing supervised pipelines end-to-end — feature engineering, class balancing (SMOTE), PCA, model selection between RF / XGBoost, and rigorous evaluation (ROC-AUC, F1, latency).
Wiring LLMs into real apps — Gemini and OpenAI APIs for resume review, JD generation, and intelligent workflows behind authenticated MERN dashboards.
Background in cybersecurity & networking — Wireshark, Nmap, OWASP ZAP, Linux. Useful for building AI systems that handle data and traffic responsibly.
A mix of production ML pipelines, applied AI products, and data foundations — each with clear impact, stack, and next steps.
Encrypted-traffic ML pipeline that classifies VPN vs non-VPN flows using only metadata — no payload inspection.
RAG application that converts any YouTube video into a grounded chat, summary, quiz, and flashcards — on web and native mobile.
MERN job portal with AI resume review and AI-generated job descriptions, built for students, recruiters, and admins.
Reproducible data-processing workflow for a clinical services team — cleaning, validation, and reporting at scale.
Filter by discipline or tech to find what's most relevant to you.

Encrypted-traffic ML pipeline on the ISCX VPN-nonVPN dataset — 98.63% test accuracy.

Full-stack MERN platform with AI resume review and AI-generated job descriptions.

Gemini + RAG app that turns any YouTube video into a summary, quiz, flashcards, and a transcript-grounded chat.

Hybrid wired/wireless campus network simulated in Cisco Packet Tracer.

Hybrid C++ / Python desktop app — DSA-driven backend with a Tk dashboard.

Falling-alphabet typing game built in C++ with SFML.

ESP8266 NodeMCU prototype with a browser-based control surface.
I'm open to AI Engineer, ML Engineer, ML Specialist, AI Researcher, Full Stack Developer, and MERN Stack Developer internships and junior roles — remote, hybrid, and onsite-friendly. Let's talk about how I can help your team move from prototype to production.