1+
Years Exp.
Hi, I'm Ali Hamza
CS Student @ NUML '27 | Passionate about solving real-world problems with data and AI.
1+
Years Exp.
About Me
Ali Hamza
ML Engineer & Data Scientist
I'm a Computer Science student at NUML Islamabad, driven by one goal — making machines learn smarter. Certified by Google and IBM, I specialize in building end-to-end ML pipelines, deep learning models with TensorFlow/Keras and PyTorch, NLP systems, and deploying predictive models that translate complex data into clear, actionable insights that drive real decisions.
Currently working on-site as an Artificial Intelligence Intern at SM Digital (NASTP), and previously interned remotely as an ML Engineer at FlyRank AI (USA) and as a Data Analytics intern at Fluxxion under the KPMG Partnership program. I thrive in both remote and hands-on, on-site environments, and I'm actively exploring LangChain, RAG pipelines, and generative AI alongside my core ML/DL/NLP work.
Education
NUML Islamabad
BS Computer Science
Punjab Group of Colleges (PGC), Pasrur
Intermediate ICS
Work Experience
Artificial Intelligence Intern
SM Digital (NASTP)
- ›Working on-site as an AI Intern at NASTP (National Aerospace Science & Technology Park), contributing to applied artificial intelligence initiatives.
- ›Collaborating with a cross-functional team on real-world AI-driven solutions in a physical, in-office capacity.
Machine Learning Intern
FlyRank AI
- ›Worked on "Applied Search Intelligence" — building ML models to prioritize which web pages need a content refresh, using a real, anonymized 79-million-row search dataset.
- ›Engineered features and built a transparent baseline heuristic scorer, then trained and evaluated logistic regression, decision tree, and random forest models.
- ›Achieved roughly a 3x lift in Precision@50 (0.24 → 0.74) over the baseline, translating to a much more effective page-prioritization pipeline.
- ›Delivered the full applied ML workflow end-to-end: feature engineering → baseline → model training → evaluation → shareable PDF report.
Data Analytics Intern
Fluxxion (KPMG Partnership)
ID: FLX-S8-162
- ›Analyzed customer data to identify top 1,000 best customers using RFM (Recency, Frequency, Monetary) analysis
- ›Performed end-to-end data cleaning, transformation, and customer ranking to support business decision-making
- ›Delivered actionable insights and structured reports under the KPMG internship program
Featured Projects
CoolRoute
AI-powered route planner that finds the walking, riding, or driving route with the least heat exposure not just the shortest one. Built for the FortyGuard Global AI Hackathon 2026 using hyperlocal temperature intelligence + real routing data.
AI Fashion Recommendation System
Upload a clothing photo and get visually similar items back instantly. Uses a pretrained PyTorch ResNet50 as a feature extractor (transfer learning, no training needed), FAISS for millisecond similarity search across a 2000+ item catalog, and a full Streamlit UI with gallery, dashboard, favorites, and history.
QuickBite — AI Food Ordering Chatbot
An NLP-powered food ordering system built with Dialogflow for intent recognition and entity extraction, backed by a Python/Flask service and MySQL database for order tracking, menu management, and live order status.
Hackathon Experience
FortyGuard Global AI Hackathon 2026
CoolRoute
Built an AI-powered route planner that ranks walking, riding, and driving routes by heat exposure instead of just distance — using OSRM for real candidate routes and FortyGuard’s hyperlocal Temperature API to sample and score each one, with a fallback heat model so it never breaks during demos.
Technical Skills
Languages
Python
C++
JavaScript
SQL
HTML
CSSData Science & ML
Pandas
NumPyAI, Deep Learning & NLP
TensorFlow
PyTorchWeb & Frameworks
React
Next.jsDatabases & Tools
MySQL
SQLite
Git/GitHub
Jupyter Notebook
VS CodeMy Certifications
Let's Connect
Open to internships, collaborations & opportunities. I respond within 24 hours.