Gul Hassan | Portfolio

About Me

Who I Am

A passionate AI/ML engineer building impactful solutions.

Turning data into decisions, code into impact.

BS Information Technology | University of Sindh, Jamshoro

I'm an AI/ML engineer with a strong foundation in deep learning, computer vision, and data science. I hold a BS in Information Technology from the University of Sindh (GPA 3.35) and have experience building production-ready ML systems, web apps, and automated testing pipelines. I was selected as a Section Leader for Stanford's Code in Place in 2025 and again for 2026, and have won multiple hackathons.

BS Information Technology

Jan 2020 - Feb 2024

University of Sindh, Jamshoro

GPA 3.35 • Core: Computer Vision, Data Science, Discrete Mathematics, Statistics, Linear Algebra, Calculus, DSA, Python, C++, Java, Web Development, Android App Development, Software Engineering

Certifications & MOOCs

Stat 453: Introduction to Deep Learning and Generative Models (UW-Madison) • Prompt Engineering (deeplearning.ai) • Machine Learning

Experience

Where I've Worked

Professional and volunteer roles that shaped my career.

Graduate Engineer

Neural Lab, Singapore

July 2025 - Present

Designed and executed regression test suites to validate critical updates for OpsAssist, an airport operations platform in its testing phase.
Automated regression workflows using Selenium and Appium, and leveraged AI-driven testing techniques to optimize efficiency.
Collaborated with developers to detect, document, and resolve defects, supporting readiness for large-scale operational rollout.
Transitioned into backend development, managing databases and data processing pipelines on AWS and Huawei Cloud.
Built and maintained GraphQL APIs to support core platform functionality.
Contributed to a task generation system and an AI-driven model for optimal task assignment, deploying ML models in production.

Section Leader

Code in Place - Stanford University

Oct 2026 - Present

Selected again as a Section Leader for Stanford's Code in Place 2026.
Teaching Python to a global cohort and leading technical discussions on algorithms, debugging, and OOP.

Section Leader

Code in Place - Stanford University

Apr 2025 - May 2025

Chosen from 2,000+ global applicants to teach Python to Stanford's largest-ever cohort of 20,000 learners.
Led technical discussions on algorithms, debugging, and OOP alongside Stanford faculty and a teaching team spanning 180 countries.
Contributed to standardizing coding pedagogy and remote learning strategies for large cohorts.

Moderator & Trainer

iCode Guru, USA

Dec 2020 - Jun 2022

Taught 4+ courses on data analysis (Google Sheets, Data Analysis 1 & 2) and a 5-week IELTS course.
Designed and conducted a comprehensive Python course, covering fundamentals to intermediate levels.
Conducted workshops on Python, Data Analysis, VS Code, Git, and GitHub.
Managed workshops as a lead on DSA, Computer Vision, Machine Learning, and Exploratory Data Analysis.

Regional Ambassador (Pakistan)

Hackmackers

Apr 2022 - May 2022

Secured MoU partnerships with 2+ universities, student organizations, and companies.
Ranked among the top 3 of 20 regional ambassadors, surpassing MoU signing targets by 99%.
Fostered community growth through strategic partnerships in Pakistan.

Data Analyst

Fiverr

Dec 2020 - Dec 2021

Partnered with international clients on 20+ analytical projects, providing data-driven insights and solutions.
Developed and maintained interactive dashboards using Google Sheets and Data Studio to track key performance metrics.
Delivered comprehensive reports that identified trends and supported business decision-making.

Awards

Achievements

Recognition and milestones throughout my journey.

Stanford Code in Place 2026 — Selected again as Section Leader

Stanford Code in Place — Selected as Section Leader 2025

CS50x Puzzle Day — Winner, organized by Harvard

World Innovation Day Hackathon — 2nd Prize Finalist

World Innovation Day Hackathon — Runner-Up

Regional Ambassador — World Innovation Day Hackathon (top 20 of 250+ applicants)

Formula AI Hackathon — 3rd Prize Finalist

FYP Ranking — #2 out of 100+ participants, 30+ FYPs

IELTS — 7 Bands

HEC Merit Scholarship — Higher Education Commission

Prime Minister's Scheme — Laptop award, top 20 of batch

Projects

Featured Work

AI/ML and full-stack projects I've built.

AI-Based Acoustic Recognition System for Avian Species

Final Year Project

Custom deep CNN with 6 convolutional layers (16-1024 filters). Preprocessed audio via Librosa (mel spectrograms). Achieved 80% test accuracy. Flask web interface for real-time bird sound classification.

CNNLibrosaFlaskPython

Emotion Recognition from EEG Signals

Deep Learning

LSTM-based pipeline for EEG-based emotion recognition with adaptive learning rate scheduler. Achieved 98.2% test accuracy with confusion matrix and F1-score evaluation.

LSTMTensorFlowScikit-learn

GitHub

Automated Brain Tumor Detection Using MRI Scans

Transfer Learning

Used EfficientNetB0 with transfer learning on Kaggle MRI dataset. OpenCV preprocessing. Achieved 98% test accuracy validated with precision, recall, and F1-score.

EfficientNetB0OpenCVTensorFlow

GitHub

Sentiment Classification with Computational Linguistics

NLP

SVM model selected from 5 algorithms (0.89 F1-score). NLP pipeline for text sentiment preprocessing. Streamlit web interface for real-time prediction.

SVMNLTKStreamlit

GitHub Web App

Intelligent Handwritten Digit Recognition

Computer Vision

MNIST preprocessing via normalization and resizing. SVM classifier achieving 97.82% test accuracy. Deployed on Hugging Face via Streamlit.

SVMMNISTHugging Face

Web App

Hi, I'm Gul Hassan