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Professional Summary
Results-driven Machine Learning Engineer and Web / WordPress Developer with hands-on experience in building, fine-tuning, and deploying ML and LLM-based systems, alongside developing high-performance, SEO-optimized web applications. Strong expertise in Python, Scikit-learn, RAG, Multi-Agent Al, AWS fundamentals (EC2, S3), and full-stack development. Passionate about scalable systems, clean code, and production-ready solutions.

Core Technical Skills

• Programming: Python, Django, Flask, PHP, JavaScript
• Machine Learning & Al: Scikit-learn, NLP, RAG, Fine-Tuning, Text-to-SQL, Multi-Agent Al
• Web Development: HTML5, CSS3, JavaScript, WordPress, PHP, MySQL
• Cloud & DevOps: AWS (EC2, S3), Model Deployment, CI/CD Basics
• Tools: Flask, Git, GitHub, Jupyter Notebook
• Other: SEO Optimization, Performance Tuning, Security Best Practices

Professional Experience

Web / WordPress Developer | Epatronus Software Company
2025-Present

• Develop and maintain dynamic, SEO-optimized WordPress websites for clients.
• Customize WordPress themes and plugins based on business requirements.
• Build full-stack web applications using HTML, CSS, JavaScript, PHP, and MySQL.
• Ensure website performance, responsiveness, security, and scalability.

Al & Machine Learning Intern | Ezitech Institute
2024

• Built, trained, optimized, and evaluated machine learning models using real-world datasets.
• Implemented Retrieval-Augmented Generation (RAG) pipelines for knowledge-based Al systems.
• Researched and developed Multi-Agent Al architectures with coordinated agent workflows.
• Built and deployed LLM-powered chatbots using Python and Flask.
• Wrote clean, maintainable Python code and assisted in model monitoring and optimization.

Machine Learning Engineer (Academic Projects) — 2024-2025

• Developed a Text-to-SQL system by fine-tuning a language model to convert natural language into SQL queries.
• Built RAG-based Al applications for accurate, context-aware question answering.
• Designed and tested LLM-powered chatbots with structured prompt engineering.
• Implemented a Phishing Website Detection system using feature engineering and ML classification models.
• Automated data preprocessing, model training, and evaluation workflows.

Computer Vision & Embedded Systems Developer (Academic Projects) — 2024-2025

• Developed real-time hand-gesture recognition systems using OpenCv.
• Implemented gesture-controlled car, LED, and servo motor systems using Arduino UNO & L298N.
• Integrated software-hardware automation for intelligent control applications.

Engineering & Ops Exposure

• Automated ML training and evaluation workflows
• Version control using Git and GitHub
• Basic exposure to CI/CD pipelines and deployment practices
• Experience monitoring and improving deployed models

Education
Associate Degree in Computer Science - Completed
Relevant Coursework: Machine Learning, Data Structures, Databases, Software Engineering

Languages
English (Fluent)
Arabic (Professional)
Urdu (Native)