AI Engineer — Turning Intelligent Ideas into Production Reality
Got a business problem?
I'll build an AI that solves it.
Got an idea for an AI product?
I'll engineer it from concept to deployment.
I'm Abdullah Taha, an AI Engineer who transforms vague AI ambitions into real, working, production-grade intelligent systems—systems that don't just demo well but actually work in the real world with real users and real data.
Here's how I work:
If you know exactly what you want, I'll build it with precision—custom LLM workflows, RAG pipelines, AI agents, or generative systems tailored to your exact requirements.
If you just have a problem to solve, I'll figure out the smartest AI approach and engineer the right solution—from architecture planning to deployment, one engineer, complete solution.
My tech stack:
Language: Python (the language of AI—used for everything)
LLM Frameworks: LangChain, LlamaIndex, LangGraph for building intelligent workflows
LLM Providers: OpenAI GPT-4, Claude (Anthropic), Gemini, Mistral, Llama
RAG Systems: Retrieval-Augmented Generation for knowledge-based AI
Fine-tuning: Custom model training and fine-tuning on your data
AI Agents: Autonomous agents that plan, reason, and execute tasks
APIs: FastAPI, Flask for deploying AI as production services
Cloud: AWS, GCP, Azure for scalable AI deployment
Prompt Engineering: Advanced prompting strategies for optimal outputs
What you get:
✓ Custom LLM applications built for your specific use case
✓ RAG pipelines that give AI access to YOUR knowledge base
✓ AI agents that work autonomously without human intervention
✓ Fine-tuned models trained on your proprietary data
✓ Production-ready AI APIs (not just Jupyter notebooks)
✓ Seamless integration with your existing systems
✓ Scalable cloud deployment that handles real traffic
✓ Clean, well-documented Python code you can maintain
✓ Ongoing optimization for better AI performance
What I build:
AI Chatbots: Intelligent conversational systems that actually understand context (not just keyword matching)
RAG Applications: AI that reads and reasons over your documents, PDFs, databases, and knowledge bases
AI Agents: Autonomous systems that browse the web, write code, send emails, and complete multi-step tasks
Content Generation: Automated writing, summarization, translation, and content creation pipelines
Data Extraction: AI that reads unstructured data (PDFs, emails, reports) and extracts structured insights
Recommendation Systems: Personalized AI recommendations for products, content, or services
Voice AI: Speech-to-text, text-to-speech, and voice-enabled AI applications
Computer Vision: Image recognition, object detection, and visual AI systems
AI Workflows: End-to-end automation pipelines combining multiple AI models
Custom LLM Solutions: Whatever unique AI problem you're facing, I'll engineer the solution
Why Python for AI?
Python isn't just a language—it's the entire AI ecosystem. Every major AI framework, every cutting-edge model, every production tool runs on Python. It's not a choice; it's the foundation of modern AI engineering.
Why production-grade matters:
Anyone can run a ChatGPT demo. Building AI that works reliably with real users, real data, real traffic, and real business requirements is a completely different challenge. I build AI systems that are:
Reliable: Handle edge cases, errors, and unexpected inputs gracefully
Fast: Optimized for response times that users actually tolerate
Scalable: Handle growing traffic without breaking
Secure: Protect sensitive data and prevent prompt injection attacks
Maintainable: Clean code that your team can understand and improve
Startups wanting to add AI capabilities to their product, businesses looking to automate intelligent workflows, entrepreneurs building AI-first products, or companies sitting on valuable data that AI could unlock.
The AI revolution isn't coming.
It's already here.
The question is whether your business is using it.
You bring the problem.
I'll build the AI that solves it.
Abdullah Taha
AI Engineer | Python + LLM + Generative AI Specialist
AI Engineer — Turning Intelligent Ideas into Production Reality
Got a business problem?
I'll build an AI that solves it.
Got an idea for an AI product?
I'll engineer it from concept to deployment.
I'm Abdullah Taha, an AI Engineer who transforms vague AI ambitions into real, working, production-grade intelligent systems—systems that don't just demo well but actually work in the real world with real users and real data.
Here's how I work:
If you know exactly what you want, I'll build it with precision—custom LLM workflows, RAG pipelines, AI agents, or generative systems tailored to your exact requirements.
If you just have a problem to solve, I'll figure out the smartest AI approach and engineer the right solution—from architecture planning to deployment, one engineer, complete solution.
My tech stack:
Language: Python (the language of AI—used for everything)
LLM Frameworks: LangChain, LlamaIndex, LangGraph for building intelligent workflows
LLM Providers: OpenAI GPT-4, Claude (Anthropic), Gemini, Mistral, Llama
RAG Systems: Retrieval-Augmented Generation for knowledge-based AI
Fine-tuning: Custom model training and fine-tuning on your data
AI Agents: Autonomous agents that plan, reason, and execute tasks
APIs: FastAPI, Flask for deploying AI as production services
Cloud: AWS, GCP, Azure for scalable AI deployment
Prompt Engineering: Advanced prompting strategies for optimal outputs
What you get:
✓ Custom LLM applications built for your specific use case
✓ RAG pipelines that give AI access to YOUR knowledge base
✓ AI agents that work autonomously without human intervention
✓ Fine-tuned models trained on your proprietary data
✓ Production-ready AI APIs (not just Jupyter notebooks)
✓ Seamless integration with your existing systems
✓ Scalable cloud deployment that handles real traffic
✓ Clean, well-documented Python code you can maintain
✓ Ongoing optimization for better AI performance
What I build:
AI Chatbots: Intelligent conversational systems that actually understand context (not just keyword matching)
RAG Applications: AI that reads and reasons over your documents, PDFs, databases, and knowledge bases
AI Agents: Autonomous systems that browse the web, write code, send emails, and complete multi-step tasks
Content Generation: Automated writing, summarization, translation, and content creation pipelines
Data Extraction: AI that reads unstructured data (PDFs, emails, reports) and extracts structured insights
Recommendation Systems: Personalized AI recommendations for products, content, or services
Voice AI: Speech-to-text, text-to-speech, and voice-enabled AI applications
Computer Vision: Image recognition, object detection, and visual AI systems
AI Workflows: End-to-end automation pipelines combining multiple AI models
Custom LLM Solutions: Whatever unique AI problem you're facing, I'll engineer the solution
Why Python for AI?
Python isn't just a language—it's the entire AI ecosystem. Every major AI framework, every cutting-edge model, every production tool runs on Python. It's not a choice; it's the foundation of modern AI engineering.
Why production-grade matters:
Anyone can run a ChatGPT demo. Building AI that works reliably with real users, real data, real traffic, and real business requirements is a completely different challenge. I build AI systems that are:
Reliable: Handle edge cases, errors, and unexpected inputs gracefully
Fast: Optimized for response times that users actually tolerate
Scalable: Handle growing traffic without breaking
Secure: Protect sensitive data and prevent prompt injection attacks
Maintainable: Clean code that your team can understand and improve
Startups wanting to add AI capabilities to their product, businesses looking to automate intelligent workflows, entrepreneurs building AI-first products, or companies sitting on valuable data that AI could unlock.
The AI revolution isn't coming.
It's already here.
The question is whether your business is using it.
You bring the problem.
I'll build the AI that solves it.
Abdullah Taha
AI Engineer | Python + LLM + Generative AI Specialist