Full-Stack Engineer | AI/ML Engineer | Generative AI Engineer
I’m a Full-Stack Engineer with 5+ years of experience building scalable web, mobile, and backend systems, with 2+ years focused on AI and Generative AI.
I specialize in taking AI concepts beyond prototypes and engineering them into production-ready applications — combining LLMs, RAG, vector search, agentic workflows, and modern backend architectures.
Currently pursuing a Master’s in Artificial Intelligence, I’m focused on building intelligent systems that are reliable, scalable, maintainable, and capable of solving real-world problems.
- 🤖 Building AI-powered and Generative AI applications
- 🧠 Working with LLMs, RAG, embeddings, semantic search, and vector databases
- 🔗 Building agentic workflows with LangGraph
- ⚙️ Engineering scalable FastAPI and REST APIs
- 🗄️ Designing and optimizing PostgreSQL, MySQL, Redis, and vector-based systems
- 📱 5+ years of experience across Full-Stack & Mobile Development
- ☁️ Working with Docker, Kubernetes, AWS, Azure, and GCP
- 🎓 Pursuing a Master’s in Artificial Intelligence
- 📚 Completed the IBM Generative AI Engineering Specialization
I’m particularly interested in the intersection of AI + software engineering, where intelligent systems need to operate reliably inside real production environments.
Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings
- Semantic Search
- AI Agents & Agentic Workflows
- LangGraph
Machine Learning
- PyTorch
- Hugging Face
- Computer Vision
- YOLOv8
- Model Integration & Inference
Vector Search
- FAISS
- Pinecone
- ChromaDB
- Vector Databases
- Similarity Search
- Python
- FastAPI
- Flask
- Node.js
- REST APIs
- Microservice-oriented architectures
- Database design & optimization
- Redis & caching
- React.js
- React + TypeScript
- Responsive Web Applications
- Flutter & Dart
- React-Native
- PostgreSQL
- MySQL
- Redis
- Firebase
- Vector Databases
- Docker
- Kubernetes
- GitHub Actions
- AWS
- Azure
- GCP
- CI/CD
An AI-powered dashboard that automates GitHub pull-request analysis and code review.
Capabilities:
- Automated PR code analysis
- Security flaw detection
- AI-generated PR descriptions
- GitHub REST/App API integration
- Real-time analysis with Redis caching
Tech: React TypeScript FastAPI LLaMA 3.3 MySQL Redis GitHub API
A computer vision platform combining local edge inference with cloud-based vision-language models.
Capabilities:
- Real-time spatial detection using YOLOv8
- Natural-language scene narration
- Hazard analysis using VLMs
- Browser-based voice synthesis
- Containerized FastAPI backend
- Automated deployment with GitHub Actions
Tech: React TypeScript FastAPI YOLOv8 Groq VLM Docker GitHub Actions
5+ Years Software Engineering
My experience spans the complete product lifecycle:
System Design → Development → API Integration → Database Design → Testing → Deployment → Optimization
I've worked extensively across:
- Full-stack application development
- Mobile application development
- Backend/API engineering
- Database optimization
- Cloud infrastructure
- AI-powered applications
- Production deployments
I've also achieved up to 30% performance improvements through backend refactoring, query optimization, caching, and improved data flow.
I'm currently focused on becoming a stronger AI/ML + Software Engineer, particularly in:
- 🤖 Agentic AI systems
- 🧠 LLM application engineering
- 🔎 RAG & advanced retrieval systems
- 🗃️ Vector search & semantic retrieval
- ⚙️ Scalable AI backend architectures
- 👁️ Computer vision + multimodal AI
- 🔄 AI evaluation and reliable production workflows
- ☁️ Deploying AI systems at scale
My goal is to build AI systems that are not only intelligent, but also reliable, observable, scalable, and production-ready.
I'm interested in collaborating on projects involving:
- 🤖 Autonomous & Agentic AI
- 🧠 LLM applications
- 🔎 RAG & semantic search
- 👁️ Computer Vision
- 🦾 AI + Robotics
- ⚙️ AI infrastructure & backend systems
- 🚀 Early-stage AI products
If you're building something interesting in AI or software engineering, feel free to reach out.
Master's in Artificial Intelligence Riphah International University — 2025–Present
Bachelor's in Computer Science (Software) Abdul Wali Khan University Mardan — 2017–2021
IBM Generative AI Engineering Specialization Coursera — 2025
16-course specialization covering Generative AI, LLMs, NLP, Deep Learning, Python, PyTorch, Hugging Face, and LangChain.
- GitHub: @door2021
- LinkedIn: Farid Ullah
- Email: faridd692@gmail.com
Building intelligent software, one system at a time.