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Hammad Wakeel
Bronze Medalist–BS in Artificial Intelligence | AI Engineer
Professional Summary
I'm an AI Engineer specializing in backend development and Generative AI, with hands-on experience in building scalable systems using FastAPI. As a Bronze Medalist in BS Artificial Intelligence from COMSATS University Islamabad with a 3.78 CGPA, I have proven expertise in creating intelligent chatbots, autonomous agents, and agentic workflows powered by Large Language Models (LLMs). During my internship at EnDevSols (Pvt.) Ltd, I gained comprehensive experience developing React-based portfolios with intelligent chatbot integration, AI-powered image-to-markdown converters, and Video-RAG platforms with multimodal AI. I'm skilled in Python and API integration, with a strong focus on developing robust, modular, and production-ready AI-driven applications. What drives me is the potential of AI to solve complex real-world problems. I'm particularly interested in combining backend engineering with cutting-edge AI to deliver impactful and efficient solutions. My projects range from educational SAAS platforms to Islamic learning mobile applications, showcasing my versatility in applying AI across different domains. Beyond technical skills, I have experience with modern frameworks like React.js, Next.js, and deployment platforms including Vercel, Hugging Face Spaces, and AWS, allowing me to create complete end-to-end solutions that bridge the gap between complex AI capabilities and intuitive user experiences.
Education
Bachelor of Science (BS) in Artificial Intelligence🥉 Bronze Medal
COMSATS University Islamabad
Work Experience
AI Engineer
EnDevSols (Pvt.) Ltd
Key Projects:
- React-Based Portfolio with Intelligent Chatbot Integration using LangchainJS and Meta's LLaMA 4
- AI-Powered Image-to-Markdown Converter leveraging Gemini 2.5
- Video-RAG Platform with Multimodal AI and Secure Querying using FAISS and MongoDB Atlas
- AI-Driven SEO Content & Image Generator with GPT-4o and Flux.1 Dev model
- AI-Driven Customer Onboarding & Meeting Scheduler with Google Meet API integration
Key Projects
Edu Learn AI - SAAS Product for Education
Developed a SAAS platform with three modules: Student (solve quizzes with/without RAG), Teacher (create and evaluate using RAG), University (customer service support).
FaithSphereAI – AI-Driven Islamic Learning Mobile App
Cross-platform Islamic learning mobile application with AI-powered Qur'anic recitation feedback, OCR module, dynamic quiz generator, and semantic search for Hadith and Qur'anic Ayahs.
Technical Skills
Languages:
Python, SQL, JavaScript, TypeScript, Java
AI/ML Frameworks:
PyTorch, TensorFlow, OpenCV, Scikit-learn, Hugging Face
AI Tools:
LangChain, CrewAI, Groq, OpenAI, Meta LLAMA, Mistral, DeepSeek
Web & Cloud:
FastAPI, React.js, Next.js, AWS, MongoDB, PostgreSQL
Certifications
- • RAG and Fine-Tuning Explained – LinkedIn Learning
- • Introduction to Model Context Protocol – Anthropic Education
- • GPT-4: OpenAI's GPT Model and What You Need to Know – LinkedIn Learning
- • Generative AI and LLMOps: Building Blocks and Applications – LinkedIn Learning