BS Artificial Intelligence Graduate · Top-Rated Freelancer (Upwork) · 500+ Automation Scripts Delivered
AI Engineer with 3+ years of hands‑on experience in NLP, Computer Vision, and LLM‑powered automation. Looking to contribute to AI‑driven healthcare solutions at MediLynks.
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I build machines that don’t just think — they work for you. I’m an AI graduate who fell in love with making tech simple, transparent, and actually useful.
Over the past 3+ years, I’ve automated everything from tedious data scraping to full-blown business workflows, saving clients hours they didn’t even realize they were wasting.
I mix machine learning, NLP, and custom automation to solve problems in real life. Whether it’s a movie recommender, a credit-risk model, or a tool that pulls thousands of data points in minutes — I care about making ideas real, fast.
Teaching, mentoring, and exploring new tech.
Core Technologies
I’m driven by one question: what can AI really do beyond memorizing patterns? My work focuses on systems that turn data into real-world impact.
I explore ways to strip bias from text data while preserving meaning — developing techniques for fair knowledge extraction, text mining, and building knowledge graphs that aren’t skewed by flawed source material.
I use machine learning and NLP to cut through noise — predicting trends, generating reports, and creating AI systems that understand context, not just numbers, to give decision-makers actionable insights.
I design AI-powered workflows that adapt in real time. From large-scale web scraping to smart monitoring tools, my systems learn from the process itself and adjust to keep things running without babysitting.
Academic background, qualifications, and research experience
Universiti Utara Malaysia (UUM)
Awang Had Salleh Graduate School | Sept 2026–2029 (Full-Time Research)
Islamia University Bahawalpur
2021–2025 | Bahawalpur, Pakistan
CGPA: 3.58 / 4.0
Coursework: Machine Learning, Deep Learning, Data Structures, Algorithms, Computer Vision, NLP, LLM Integration
Government Sadiq Egerton College Bahawalpur
2019–2021 | Marks: 957/1100 (87%) | Subjects: Biology, Physics, Chemistry
Government Technical High School Bahawalpur
2017–2019 | Marks: 987/1100 (89.7%) | Subjects: Biology, Physics, Chemistry
Under Supervision of Sir Nasir, Additional Director IT, Islamia University Bahawalpur
A showcase of academic innovations and freelance solutions across diverse domains.
BS Artificial Intelligence — Islamia University Bahawalpur | 2024–2025
Designed and built an end-to-end pipeline for extracting structured data from livestock auction listings. Combines an interactive image annotation tool (OpenCV) with automated scraping and data-processing workflows, converting raw auction screenshots into clean, queryable Excel datasets — eliminating hours of manual data entry.
Future Enhancements
Automated OCR · ML-based field detection · Web annotation interface · Auction house API integration
AI-enhanced pipeline using Together AI's DeepSeek model to parse unstructured legal foreclosure PDFs and extract 25+ structured data points. Converts messy legal documents into clean Excel spreadsheets for real estate investors.
Automated system scraping LinkedIn profiles of university faculty and using Groq AI for real-time classification — identifying professors vs. alumni/students with high accuracy. Processes thousands of profiles and exports structured results.
High-scale scraper for 30+ chemical companies collecting TDS and SDS documents. Used Undetected ChromeDriver to bypass advanced anti-bot measures, extracting thousands of technical documents successfully.
Comprehensive data extraction compiling over 1,000 NYC convenience stores from Google Maps and Yellow Pages. Collected business names, addresses, phone numbers, hours, and operational status into a structured database.
Python-based scraper to pull detailed product data — titles, prices, ratings, reviews, and specs — from specific Amazon categories without using the Amazon API. Data stored in CSV/JSON for analysis and inventory management.
Script capturing numerical values from online bar graphs and charts. Used Selenium to navigate interfaces and tapped into undocumented APIs to access raw data, exporting results into CSV for analysis.
Instagram analytics tool scraping profile data (followers, following lists) and reel metrics (likes, views, comments, hashtags). Automated pipeline processing multiple profiles and compiling engagement stats into structured Excel reports.
Automated TikTok scraper processing sound links from Excel, finding all profiles using those sounds, and extracting contact details (emails, social links, phone numbers). Handles multiple sound links in bulk and compiles results into structured Excel reports.
Automation tool reading contacts from Excel and personalized messages from text files to send WhatsApp messages and media in bulk. Features advanced session and cookie management for uninterrupted operation across multiple accounts.
Monitors product prices across multiple e-commerce sites, tracks historical trends, and detects changes. Sends automated email and SMS alerts based on user-defined thresholds with full historical data storage for trend analysis.
Automated the complete Portuguese visa application process — reading applicant data from Excel, uploading documents (passports, photos, bank statements), completing complex multi-page forms. Integrated residential rotating proxies, 2captcha API, and anti-bot detection for large-scale processing without bans.
Streamlit-based Facebook automation tool — searches keyword/brand, sets filters (date/location), scrolls posts, classifies comments via sentiment analysis (positive/negative/neutral), posts predefined comments on matches, and extracts user data into Excel for marketing analysis.
Content-based movie recommendation system using the TMDB 5000 movies dataset. Processed and cleaned metadata (genres, cast, crew, plot summaries), extracted features with TF-IDF vectorization, and applied cosine similarity to recommend movies with similarity scores.
Credit risk prediction model forecasting loan defaults. Preprocessed with median imputation, one-hot encoding, and StandardScaler. Balanced with SMOTE. Tested Logistic Regression, Random Forest, and XGBoost — achieving 94% accuracy with Random Forest.
Sentiment analysis system classifying text into positive, negative, or neutral categories. Implemented tokenization, stopword removal, stemming, and TF-IDF. Balanced with SMOTE. Tested Logistic Regression, SVM, and Naive Bayes — achieving 88% accuracy with Logistic Regression.
Interactive text classification app categorizing input into Business, Health, or Sports. Lemmatization, bigram TF-IDF, and Streamlit for real-time predictions. Grid Search for hyperparameter tuning — achieving 90% accuracy with Logistic Regression.
User-friendly web app for downloading YouTube videos and audio in multiple formats (MP4, MP3). URL validation, download progress tracking, and file management. Used yt-dlp for reliable media extraction with Django and Streamlit for backend and interface.
Streamlit-based data analysis platform — clients upload Excel files and get instant insights. Automated statistical summaries, interactive charts, trend detection, and downloadable reports for business decision-making.
Healthcare analytics dashboard assessing doctor performance across metrics like patient volume, revenue, and tenure. Correlation analysis to uncover performance patterns, ranking systems for top/bottom performers, and interactive visualizations for trend analysis. Actionable insights for healthcare managers.
Continuous learning and professional development
Comprehensive AI course covering search algorithms, knowledge representation, uncertainty, optimization, machine learning, neural networks, and large language models.
PyTorch fundamentals covering tensor operations, data types, and deep learning foundations. Mastered tensor creation, manipulation, and GPU computing basics.
Advanced Machine Learning, Artificial Intelligence, and Data Science comprehensive certification.
Advanced machine learning algorithms, data science techniques, and model deployment.
Professional web scraping techniques using Python, BeautifulSoup, and Selenium.
Comprehensive Python and Django web development course covering fundamentals to advanced concepts.
Web application development using Python and Flask framework with database integration.
High-performance RESTful APIs with Python. Routing, dependency injection, Pydantic schemas, SQLAlchemy, async endpoints, and modular design with real-world projects.
Expertise across multiple domains
Recognitions and achievements in freelancing and professional excellence
Platform: Upwork | 2025
Earned Top Rated status as a Python Developer, recognized for delivering high-quality projects, maintaining exceptional client satisfaction, and demonstrating consistent performance.
Platform: Fiverr | 2023
Achieved Level 2 Seller status specializing in Web Scraping and Automation, backed by consistent 5-star reviews and a high order completion rate.
Organization: NAVTTC | 2025
Certified trainer for the Advanced Python Programming Course at DevCastle, IUB under NAVTTC. Delivered structured training sessions on modern Python practices and mentored students in AI/ML projects and automation techniques.
Islamia University Bahawalpur | 2021–2025
Graduated with a 3.58/4.0 CGPA in Bachelor of Science in Artificial Intelligence. Coursework included Machine Learning, Deep Learning, Computer Vision, NLP, and advanced research in Spiking Neural Networks.
Let’s discuss research opportunities and collaborations
Let’s connect on WeChat.
ID: heresmajidBased in
Bahawalpur, PakistanConnect with me on professional platforms