نبذة عني
AI/ML Engineer with hands-on experience building, training, fine-tuning, and deploying AI systems across Generative AI, Large Language Models (LLMs), AI agents, and computer vision. Skilled in developing production backe…
AI/ML Engineer with hands-on experience building, training, fine-tuning, and deploying AI systems across Generative AI, Large Language Models (LLMs), AI agents, and computer vision. Skilled in developing production backend services with FastAPI, integrating vector databases and Retrieval-Augmented Generation (RAG) pipelines, and self-hosting and deploying AI models on Linux servers and cloud infrastructure (Docker, Google Cloud Run, Modal). Experienced across the full AI production lifecycle, from model training and fine-tuning through API development, deployment, and ongoing production maintenance.
الخبرة
Python Backend Developer
<p>I have built AI systems beyond just prototypes—from LLM agents and RAG pipelines to computer vision and production deployment. I enjoy taking an unclear problem, building the solution, and making it actually work in production.</p>
AI Developer
<p>Design, develop, and deploy AI/ML applications spanning Generative AI, LLMs, AI agents, and computer vision, covering the full lifecycle from model development through production deployment.</p><p> Build and fine-tune machine learning and deep learning models, including self-hosted LLM deployment for production use cases.</p><p> Develop backend services and REST APIs using FastAPI to serve AI models and integrate them into production applications.</p><p> Architect AI agent systems with multi-agent routing, session and state management, streaming responses, and tool calling for conversational and task-based applications.</p><p> Containerize and deploy AI applications using Docker, managing production workloads on Google Cloud Run and Modal.</p><p> Integrate voice AI and real-time communication capabilities using LiveKit and WebRTC to build self-hosted voice-agent infrastructure.</p><p> Administer Linux servers for self-hosted AI model deployment, including configuration, monitoring, and troubleshooting of production systems.</p><p> Automate workflows and maintain production AI systems, ensuring reliability across model serving, APIs, and database integrations.</p>