Adeel Asghar
// Building AI Solutions with Code, Curiosity, and Data
// 01. about
About Me
AI undergraduate (CGPA 3.83/4.00) with hands-on experience in machine learning, deep learning, computer vision, NLP, and data analytics. Built and deployed CNN-based image classifiers (MobileNetV2, ResNet50), full-stack AI REST APIs, and ETL pipelines processing 500,000+ records — achieving up to 95.74% accuracy. Proficient in data preprocessing, feature engineering, model evaluation, transfer learning, and ML deployment via Streamlit, Flask, and Vercel. Hackathon winner (HACKDATA V1) and GDG Tech Lead with 100+ students mentored in AI/ML fundamentals.
$ research --interests
$ education --details
$ achievements --list
1st Place — HACKDATA V1 Hackathon
Team MadGroot · Sortd Project
Academic Excellence Award
COMSATS University Wah Campus
1st Place — CS Quiz Competition
UET Taxila
1st Place — Speed Programming Competition
HITEC University
Top 4 of 80+ — Tech Quiz Competition
Tech Fest COMSATS Islamabad
MIT Hackathon Participant
Massachusetts Institute of Technology
$ gdg --role
Tech Lead & Founding Member
GDG On Campus — COMSATS Wah
Organizing AI/ML and Data Science workshops, fostering a community of tech enthusiasts on campus.
// 02. skills
Tech Stack
Languages
AI / Machine Learning
Deep Learning
Data Science
Web & Databases
MLOps / DevOps
Deployment & Tools
// 03. projects
Featured Projects
Sortd
🏆 Hackathon WinnerAI-powered content capture platform that bridges the 'Capture Gap' — automatically extracts, summarizes, and categorizes content from Instagram Reels, YouTube videos, and screenshots into organized, searchable knowledge. Built for HACKDATA V1 Hackathon.
💡 Key Insight
Multimodal AI pipeline combining Gemini Vision for screenshot OCR and Groq Whisper for audio transcription — zero manual effort from capture to categorized knowledge.
ThreatLens
Malware binary visualization and classification platform. Converts any binary file to a grayscale image using the Nataraj byte-to-image technique, then classifies it against 25 malware families using a fine-tuned ResNet50 model trained on the Malimg dataset.
💡 Key Insight
Malware classification is fundamentally a computer vision problem — different malware families produce visually distinct byte patterns. ResNet50 achieves 76.4% val accuracy across 25 families on the Malimg dataset.
DermVision
Full-stack AI medical application for skin lesion classification. Classifies dermoscopy images into 7 lesion categories using a fine-tuned MobileNetV2 model trained on HAM10000. Features JWT auth, drag-and-drop upload, risk assessment, and prediction history.
💡 Key Insight
Three-service architecture: React SPA → Node.js API Gateway → Django ML Engine running ONNX inference. MobileNetV2 fine-tuned in two phases achieves 78.4% val accuracy across 7 lesion classes.
BSL Hand Gesture Recognition
Deep learning system classifying 34 British Sign Language gestures with 95.74% accuracy and 95.78% F1-score. Uses MobileNetV2 transfer learning with CLAHE normalisation and MediaPipe hand landmark preprocessing. Trained on 34,000 balanced images and deployed as a live Streamlit web app.
💡 Key Insight
CLAHE normalisation on the LAB L-channel alone outperformed standard RGB preprocessing — preprocessing quality mattered more than model complexity at this scale.
Smart Recycle System
Industrial waste classifier using MobileNetV2 transfer learning achieving 86%+ accuracy across 12 material categories — outperforming a custom CNN baseline by 25%. Features real-time hazardous waste flagging with an efficient inference pipeline for industrial constraints.
💡 Key Insight
MobileNetV2 with fine-tuning outperformed a custom CNN baseline by 25% on the same dataset — transfer learning wins when data is limited and classes are visually similar.
Retail Sales Analytics Dashboard
End-to-end ETL pipeline processing 500,000+ transaction records for a UK-based online retailer. Identified seasonal revenue spikes, top-performing product categories, and high-value customer segments through in-depth EDA. Visualised with interactive Tableau dashboards for business intelligence decisions.
💡 Key Insight
500K+ transaction records revealed that 80% of revenue came from just 3 product categories — classic Pareto, but only visible after cleaning 40% missing/duplicate records in the ETL stage.
// other projects
AI/ML Model Advisor
Rule-based expert system with custom forward and backward chaining inference engines that recommends optimal ML algorithms based on dataset characteristics. Includes explainability support and a lightweight Flask web interface for interactive user queries.
Indian Air Pollution Analysis
Analyzed historical air quality data (2015–2020) across 26 major Indian cities. Built an automated data pipeline with robust preprocessing, compared 4 regression models with hyperparameter tuning to forecast PM2.5 levels, and deployed an interactive Streamlit prediction dashboard.
Encrypted Monitoring App
Python application that periodically captures desktop screenshots, encrypts them using AES or DES, generates SHA-256 integrity hashes, and securely logs all data. Supports full decryption and hash verification.
Smart Farm Security System
Custom CNN built from scratch to classify 10 farm animal species and flag potential intruder threats from live image analysis. Trained on 28,000 images from the Animals-10 dataset and deployed via Streamlit for real-time inference.
CIFAR-10 Classical ML Classifier
CPU-efficient classical ML approach to CIFAR-10 using Histogram of Oriented Gradients (HOG) for feature extraction and SVMs for classification. Lightweight, interpretable, and runs without GPU.
Bring It Buddy
🧪 PrototypePrototype — a Laravel-based peer-to-peer delivery web app connecting senders with travellers going the same route for cost-effective package delivery.
// 04. experience
Work Experience
My professional journey building AI systems and leading technical communities.
100+
Students Mentored
2+
Years Building
Tech Lead & Founding Member
CURRENTGDG On Campus — COMSATS Wah
Oct 2024 – Present · Community Leadership
- ▸Co-founded the Google Developer Groups chapter at COMSATS University Wah Campus — one of the first student-led tech communities at the university
- ▸Leads AI/Data Science initiatives and coordinates student project teams across multiple domains
- ▸Organizes technical workshops, seminars, and hands-on sessions for 100+ students
- ▸Mentors junior members in AI/ML fundamentals and drives cross-team collaboration
DevOps & AI Intern
SPS — Software Productivity Strategists
Jul 2025 – Sep 2025 · Internship
- ▸Built and deployed CI/CD pipelines using Jenkins covering build triggers, notifications, and automated testing
- ▸Worked with Docker and Docker Swarm for containerization and service orchestration
- ▸Used Git, Bitbucket, and branching strategies for version control and team collaboration
// 05. certifications
Certifications
Verified credentials from world-class institutions.
$ issuers --summary
DeepLearning.AI
Machine Learning Specialization
Sep 2025
DeepLearning.AI
Advanced Learning Algorithms
Aug 2025
DeepLearning.AI
Supervised ML: Regression and Classification
Jul 2025
IBM
Data Analysis with Python
Sep 2025
Coursera
Python for Data Analysis: Pandas & NumPy
Jul 2025
LearnKartS
Git with GitLab & Bitbucket
Jul 2025
Harvard University
Introduction to Programming with Python (CS50P)
Aug 2024
// 06. contact
Let's Work
Together.
Open to freelance AI/ML projects, remote roles, and research collaborations. If you're working on a hard problem, I'd like to hear about it.