Saif Ullah

Innovative Full-Stack Engineer and AI Developer with a comprehensive skill set spanning real-time computer vision systems, cybersecurity monitoring infrastructure, machine learning pipelines, and scalable MERN-stack web applications. Proven ability to architect and deliver production-grade solutions—from YOLOv8-powered intrusion detection systems to Python ETL pipelines processing 50,000+ records—that translate complex technical challenges into measurable business value. Backed by enterprise job simulations with Deloitte, British Airways, and Lloyds Banking Group, and over 300 hours of specialized ML and data science training.

Driven by a commitment to engineering excellence, continuous learning, and building AI-integrated systems that operate reliably at scale. Open to international internships, remote opportunities, and high-growth engineering roles.

Full-Stack Web Developer - Britcraft Solutions - Islamabad, Pakistan (Hybrid)

(2025-10)

• Architected and deployed scalable full-stack applications using the MERN stack (MongoDB, Express.js, React.js, Node.js), serving complex client requirements across multiple concurrent projects.
• Engineered secure, high-throughput RESTful APIs with Node.js and Express.js, handling 1,000+ daily requests with robust authentication, rate limiting, and structured error handling.
• Implemented responsive, component-driven user interfaces with React.js and Tailwind CSS, achieving cross-browser compatibility and optimal Core Web Vitals performance scores.
• Optimized NoSQL (MongoDB) and relational database schemas, improving data retrieval speeds for real-time dashboard reporting by measurably reducing query execution times.
• Collaborated within Agile/Scrum sprints—daily stand-ups, async code reviews, sprint planning—ensuring continuous delivery and consistent product quality across hybrid team environments.

Backend Engineer & Full-Stack Intern - SPS GreenKeyper - Islamabad, Pakistan

(2025-07 - 2025-09)

• Engineered RESTful API endpoints using Node.js and Express.js, reducing endpoint response latency by 40% and sustaining reliable throughput for 500+ concurrent daily API calls.
• Overhauled MongoDB query architecture through advanced indexing strategies and aggregation pipeline redesign, accelerating response times by 30% (1.2s → 0.84s) across critical data-heavy routes.
• Delivered cross-track production tasks spanning Full-Stack Web Development, Backend Engineering, and Flutter Mobile Application Development, demonstrating platform versatility.
• Orchestrated server-side data validation and preprocessing workflows for 10,000+ daily records, achieving 99.5% data accuracy across downstream analytics pipelines.
• Authored comprehensive technical documentation (API contracts, data schemas, deployment runbooks) consumed by a 5-member engineering team, reducing onboarding time significantly.

Freelance Full-Stack Developer & Data Analyst - Fiverr - Remote (International Clients)

(2024-01)

• Architected and shipped 15+ end-to-end web applications and intelligent automation tools for clients across the UK, USA, and Europe, maintaining a 4.8/5.0 satisfaction rating.
• Engineered production-grade Selenium and BeautifulSoup web scrapers, extracting and structuring 100,000+ data points from dynamic web sources for market intelligence and lead generation clients.
• Reduced average project delivery time by 15% through reusable modular component libraries, Redux-based state management patterns, and CI/CD-aligned deployment workflows.
• Delivered Python data analysis pipelines (Pandas, NumPy) to generate automated executive-level PDF reports, replacing manual 4-hour reporting processes with single-click automation.

Data Engineer & Automation Specialist - Technik Nest Pvt Ltd - Islamabad, Pakistan

(2025-06 - 2025-07)

• Engineered 8+ production-ready Python ETL pipelines, automating end-to-end data ingestion, transformation, and loading workflows that reliably process 50,000+ records per execution.
• Executed in-depth exploratory data analysis (EDA) using Pandas and NumPy, identifying critical data quality anomalies and driving measurable process improvement recommendations.

Data Science Simulation - Lloyds Banking Group

(2025-08 - 2025-08)

Executed enterprise-grade EDA pipelines and trained predictive machine learning models to support customer segmentation and credit risk analytics decision-making.

Data Science Simulation - British Airways

(2025-08 - 2025-08)

Designed and validated predictive behavioral models to forecast customer purchase intent and engineered rule-based eligibility logic for Heathrow Terminal 3 premium lounge allocation.

Data Analytics & Forensic Technology Simulation - Deloitte

(2025-08 - 2025-08)

Applied forensic data analysis frameworks and investigative data workflows to extract actionable business intelligence from complex, multi-source enterprise datasets.

Bachelor of Science - Information Technology - Air University (2027-01)