ABDUL MAJID
Co-Founder & CTO @ TechnoFreaks | Data Scientist & Senior Python Developer @ SignDevOps
Karachi, Sindh, Pakistan 🇵🇰
Professional Summary
Co-Founder & CTO at TechnoFreaks and Data Scientist & Senior Python Developer at SignDevOps with extensive engineering experience leading cloud infrastructure, automated ETL pipelines, and client-focused data and machine learning solutions. Proficient in Python, advanced SQL, Docker, Nginx, Linux DevOps, Flask/FastAPI REST APIs, automated web scraping (Selenium, BeautifulSoup), interactive data visualization (Plotly, Power BI), and supervised ML models (Scikit-learn). Proven track record transforming complex raw data into actionable intelligence, architecting high-availability multi-tenant cloud ecosystems, and engineering algorithmic trading systems.
Professional Experience
Co-Founder & Chief Technology Officer (CTO)
- Technical Leadership & Cloud Infrastructure: Directing core architectural strategy, automated CI/CD pipelines, DevOps tooling, and cross-platform software delivery.
- Production Platform Architecture: Engineered and launched the primary agency platform (technofreaks.online) and the official mobile application distribution hub (apps.technofreaks.online).
- Multi-Subdomain Ecosystem: Scaled high-availability subdomains including sahulat.technofreaks.online (District Badin Super-App) and alshehryar.technofreaks.online (e-commerce & restaurant platform).
- DevOps, Security & Optimization: Configured Docker microservice containerization, Nginx reverse proxy load distribution, automated SSL/TLS certificate renewal, and caching layers with 99.9% uptime.
Data Scientist & Senior Python Developer
- Python Development & Web Services: Built production Python automation scripts and Flask REST APIs for real-time data processing and client reporting.
- ETL & Web Scraping Pipelines: Engineered automated scraping daemons using Selenium, BeautifulSoup, and Requests to continuously extract data into MySQL with automated deduplication and retry mechanisms.
- Data Analytics & BI: Analyzed complex tabular datasets with Pandas and NumPy, conducted EDA, and built interactive dashboards using Plotly, Matplotlib, and Power BI.
- Process Automation: Automated recurring reporting pipelines, reducing manual data compilation time by ~40%.
- Machine Learning Engineering: Performed feature engineering, outlier clipping, and trained Scikit-learn models evaluated on ROC-AUC, Precision, Recall, and F1-Score.
- Database Architecture: Designed relational database schemas in MySQL, wrote optimized SQL joins, subqueries, and window functions.
Data Science Intern
- Conducted exploratory data analysis, data cleaning, and preprocessing on customer churn datasets.
- Engineered predictive classification features and benchmarked Decision Trees, Random Forests, and Logistic Regression.
- Generated comprehensive analytical reports detailing model metrics and actionable customer retention strategies.
Key Shipped Projects & Repositories
TechnoFreaks Production Platforms & Apps Ecosystem
LIVEEnterprise agency platform and mobile application distribution ecosystem deployed with Docker and Nginx. Serving live web, APK distribution, and multi-tenant services across technofreaks.online, apps.technofreaks.online, sahulat.technofreaks.online, and alshehryar.technofreaks.online.
RetinaScan AI — Deep Learning Retinal Screening Platform
LIVE AIClinical-grade deep learning model diagnosing 4-class Diabetic Retinopathy from fundus photography with CLAHE preprocessing and Grad-CAM interpretability heatmaps. Live deployed on retinascan.technofreaks.online and idrp.technofreaks.online.
PSX Stock Monitoring & Analytics Platform
Python • Flask • MySQL • Pandas • PlotlyReal-time Pakistan Stock Exchange monitoring and analytics platform that automatically collects, validates, and stores market tickers in MySQL with interactive Plotly visual charts.
Automated Job Scraper & Live Database Pipeline
Python • Selenium • BeautifulSoup • Requests • MySQLEngineered an end-to-end automated web scraping and ETL pipeline collecting live postings across multiple portals with automated deduplication and scheduled cron execution.
Bengaluru Real Estate House Price Prediction Engine
Python • Scikit-learn • Flask • Pandas • LassoConstructed a supervised regression machine learning model with location-based one-hot encoding, outlier removal, and a sub-20ms inference Flask REST API.
Customer Churn & Retention Analytics Model
Python • Scikit-learn • Pandas • Matplotlib • SeabornDeveloped an end-to-end churn prediction classifier analyzing customer tenure, contract types, and billing history to optimize retention campaigns.