Hi, I'm
Huzaifa
AI & ML Engineer
AI Developer and Software Engineer with strong expertise in classical machine learning, applied AI systems, and end-to-end model deployment. Skilled in designing, training, and integrating ML models into production-ready applications using modern frameworks. Experienced with transformers, MLOps pipelines, AI agents, and backend systems. Proven track record of delivering data-driven automation, prediction models, and intelligent web apps. View Projects
Technical Skills
My expertise in AI, Machine Learning, and Software Development
AI, Machine Learning & LLM Orchestration
Full-Stack Engineering & Architecture
Data Analytics & Statistical Modeling
Database Management & Cloud Services
Software Development Lifecycle & Automation
Network Security & Threat Intelligence
Experience & Education
My professional journey and academic background
Work Experience
Software Engineer
Developed various projects, including University management, ecommerce, transport management, and data scraping tools using C++, Python, Node.js.
Software Engineer
Engineered multiple projects including LMS, blogging platform, Prestashop Ecommerce stores, Prestashop Ecommerce Stores integration modules.
Backend Developer
Developed various backend solutions and projects in Node.js, Python (Django & Flask), PHP.
Software Engineer
Built 4 mobile apps (Startup Business Bureau, Artista, Flippers, Designables) using Flutter and Firebase, converting web platforms into mobile experiences.
Education
BS Software Engineering
3 Dean Honor Awards, 4 Chancellor's Honor Awards.
Featured Projects
A selection of my work in AI, ML, and Web Development
Institutional Learning Management System (LMS)
A robust, enterprise-grade web application for university management, built with modular design patterns to handle high-concurrency user traffic.
AI Computer Vision: Lumpy Skin Disease Diagnosis
A computer vision solution that empowers farmers with early-stage disease diagnosis for cattle, utilizing advanced image processing to identify skin lesions.
FinTech Security: Credit Card Fraud Detection
A probabilistic fraud detection engine designed to process over half a million financial records to isolate suspicious activity with near-perfect accuracy.
Latest Articles
Thoughts on AI, Engineering, and Technology
How to Become an AI Engineer in 2026: A Step-by-Step Roadmap
Dive into the essential steps, skills, and learning paths required to become a successful AI Engineer in 2026. This comprehensive guide will equip you with the knowledge to navigate the rapidly evolving AI landscape and build a thriving career.
Read ArticleAI Trends Forecast 2026: The Year of Multimodal Reasoning and the Edge Computing Revolution
2026 is the year AI leaves the data center and enters the physical world. We explore how the convergence of advanced Multimodal Models with powerful Edge AI is redefining human-computer interaction, privacy, and real-time automation.
Read ArticleAI Hallucinations: The Reality Behind the Artificial "Facts," and How to Fix Them
When generative AI confidently presents fiction as fact, it's called a hallucination. This deep dive explores the probabilistic roots of why LLMs "lie," defines the different types of errors, and provides actionable strategies like RAG and prompt engineering to mitigate them in production.
Read ArticleGet in Touch
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Location
Islamabad, Pakistan