I'm Hamza Shoaib, an AI Engineer specializing in Machine Learning, Generative AI, AI Agents, RAG, and intelligent workflow automation. I build reliable, scalable AI solutions that solve real-world business problems and transform ideas into production-ready applications. Driven by continuous learning and hands-on development, I'm passionate about creating practical AI systems that deliver measurable impact.
Projects Built
Automation Workflows
Internships Completed
CS50x Winner
I build AI-powered solutions that automate repetitive work, streamline business operations, and help organizations scale with intelligent automation.
Building intelligent systems using Machine Learning, Deep Learning, NLP, Computer Vision, and Retrieval-Augmented Generation (RAG).
Developing AI-powered applications using Large Language Models, AI agents, prompt engineering, and modern GenAI frameworks.
Designing intelligent automation workflows that integrate AI models, APIs, and business processes.
Developing, deploying, and maintaining scalable AI applications using modern development tools and cloud technologies.
Clear milestones from first call to ongoing support.
We analyze your goals, audience, and bottlenecks to define success and map out a growth strategy.
Mapping out exact API endpoints, webhooks, and database schemas before writing a single line of code.
Building logic via Python or visual node builders, ensuring seamless data flow between all systems.
Rigorous edge-case testing, monitoring error logs, and refining workflows for maximum performance.
We don't just build and leave. You get reliable, long-term maintenance to ensure your systems stay updated, secure, and fully operational.
Built an AI chatbot using Retrieval-Augmented Generation (RAG) and n8n that answers questions from custom knowledge bases with accurate, context-aware responses. Integrated LLMs and automated workflows to deliver reliable AI assistance.
Designed an end-to-end lead management workflow that automatically captures leads, validates data, stores records in Google Sheets, and sends personalized confirmation emails, eliminating repetitive manual tasks.
Developed an AI-powered NLP application that analyzes user text to identify potential mental health crisis signals and provide early risk assessment using machine learning techniques.
Built a Python-based certificate generation system that automatically creates personalized certificates from templates, reducing manual effort and ensuring consistent formatting.
Developed an automated weather notification system using n8n that retrieves live weather data and sends scheduled updates to Telegram users through the OpenWeather API.
Fine-tuned a BERT model to classify news articles into multiple categories, improving text classification accuracy through transformer-based natural language processing.
Created an end-to-end machine learning pipeline to predict customer churn, including data preprocessing, feature engineering, model training, evaluation, and performance optimization.
Built a multimodal deep learning model that combines property images and structured data to estimate housing prices with improved prediction accuracy.
Developed a supervised machine learning model to predict heart disease risk from clinical data, supporting early diagnosis through data-driven insights.
Implemented a machine learning model to forecast stock prices using historical market data, enabling trend analysis and predictive decision support.
Designing and building AI-powered applications, intelligent workflow automations, AI agents, RAG systems, and production-ready solutions using modern AI technologies for clients and personal projects.
Developing backend APIs, scalable services, and application infrastructure while collaborating with the engineering team on production-ready software.
Built Generative AI applications, prompt engineering workflows, LLM-powered solutions, and AI automation systems during an intensive engineering internship.
Developed machine learning solutions, performed data preprocessing, model evaluation, and implemented practical AI workflows using industry-standard tools.
Successfully completed an intensive AI & Machine Learning training program covering Machine Learning, Deep Learning, Natural Language Processing (NLP), Microsoft Azure fundamentals, model deployment, and practical AI application development.
Developed Python-based applications, automated workflows, and collaborated on software development tasks in an on-site professional environment.
Real feedback from a client after successfully delivering an AI-powered Lead Management Automation solution.
"Hamza automated our lead collection process and eliminated the manual work of managing inquiries. The workflow is reliable, organized, and has significantly improved our response time. Highly recommended."
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