Wilayat Ali
Computer Science graduate with broad, hands-on AI/ML and Python engineering experience
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About
Computer Science graduate (B.S., CGPA 3.39/4.0, July 2026) with broad, hands-on AI/ML and Python engineering experience across deep learning, NLP, computer vision, retrieval-augmented generation, and workflow automation. Completed two structured AI/ML internships and one Python-focused internship covering the full development lifecycle — data preprocessing, model training, evaluation, deployment, and debugging in production. Has independently built and shipped over a dozen AI/ML and Python projects, from fine-tuned transformer models to multi-workflow automation pipelines with real production bug fixes.
Comfortable working through messy, real-world problems end to end.
Experience
Advanced AI/ML Engineering Intern - DevelopersHub Corporation - Remote
(2026 - 2026)
- News Topic Classifier: Fine-tuned bert-base-uncased on the AG News dataset (120K samples, 4 classes) using HuggingFace Transformers, reaching 90.4% accuracy; deployed as an interactive Gradio demo.
- Multimodal Housing Price Prediction: Built a fusion model combining a ResNet-18 CNN (image branch) with an MLP (tabular branch) over 2,000 synthetic house images, achieving MAE of $343K on a multimodal regression task.
- Context-Aware RAG Chatbot: Built a retrieval-augmented chatbot using LangChain, FAISS, and all-MiniLM-L6-v2 embeddings, achieving 100% retrieval accuracy on the test query set; served via a Gradio ChatInterface.
AI/ML Engineering Intern - DevelopersHub Corporation - Remote
(2026 - 2026)
- Heart Disease Prediction: Trained and compared Logistic Regression (AUC ∼0.90) and Decision Tree (AUC ∼0.85) classifiers on the UCI Cleveland dataset for clinical risk prediction.
- Mental Health Support Chatbot: Fine-tuned DistilGPT2 on the EmpatheticDialogues dataset (25K+ conversations) with top-k/top-p sampling; deployed via dual CLI and Streamlit interfaces.
- House Price Prediction: Engineered features (e.g., rooms-per-household) on the California Housing dataset and trained a Gradient Boosting model, achieving MAE of $35K and R2 of 0.80.
Python Programming Intern - InternGrow - Remote
(2026 - 2026)
- OS Automation Suite: Built a multi-functional file-system automation tool using pathlib, shutil, zipfile, and plyer for desktop notifications, tested on Ubuntu/Anaconda.
- Intelligent Rule-Based Assistant: Built a fully deterministic assistant using regex intent matching with a live Wikipedia scraping fallback for unmatched queries; shipped with dual Terminal and Streamlit deployments.
Head of Media & Content Department - NSU Literary Society — National Skills University Islamabad - Islamabad, Pakistan
(2025-09)
- Own content strategy, social media management, event promotion, and visual/written material for literary and cultural events campus-wide.
Event Organizer — SkillVerse 2025 - National Skills University Islamabad - Islamabad, Pakistan
(2025-04 - 2025-04)
- Co-organized a university-wide technology competition across three tracks: Coding Competition, Graphic Design, and Gaming Tournament.
Senior Executive (fmr. Head of Logistics 2024–25) - Steps Ahead Welfare Society
(2023-03)
- Volunteer initiative educating underprivileged children from slum communities; managed supply chain for educational materials, coordinated volunteer schedules, and covered all student expenses (fees, books, uniforms) to facilitate formal school admissions.
Education
B.S. - Computer Science - National Skills University Islamabad (2022-08 - 2026-07)


