AI Engineer | LLM, RAG & Computer Vision Specialist | Building Production-Grade AI Systems That Scale
I’m an AI & Python Engineer with 4+ years of hands-on experience building real-world, production-grade AI systems, not experiments.
My expertise includes LLMs, RAG architectures, Computer Vision, predictive modeling, and AI automation. I design and deploy scalable systems using Python, PyTorch, FastAPI, Azure/OpenAI, AWS, and modern MLOps practices.
I’ve built:
- Private enterprise AI assistants (RAG-based) integrated with internal knowledge bases
- CNN & YOLO-based computer vision systems for defect detection and monitoring
- End-to-end ML pipelines from data cleaning → labeling → training → validation → deployment
- AI automation systems integrated with CRMs, booking systems, internal dashboards, and APIs
I focus on clean architecture, maintainable code, and measurable performance improvements. I don’t rely on shortcuts, I design systems from first principles, ensuring reliability, scalability, and security.
If you're looking for someone who understands both the business impact and the technical depth of AI systems, we’ll work well together.
Work Terms
Work Terms
- Availability: 30–40 hours per week
- Timezone: Flexible overlap with US, UK, Middle East
- Communication: Slack, Zoom, Google Meet, Microsoft Teams
- Project Style: Milestone-based or hourly
- Code Quality: Clean, documented, version-controlled (Git)
- Deployment: AWS, Azure, Docker, CI/CD pipelines
- Security & Compliance: Enterprise-grade practices (RBAC, private endpoints, secure storage)
I prioritize clear communication, weekly progress updates, and delivering working systems, not just code.