⚙️ Specialties: Computer Vision · PyTorch · GenAI Pipelines · AWS Networking · Agent Systems · RAG · MCP
Hi, I’m Ramsi. A research-aware AI engineer with a dual background in strategy and engineering.
I build practical, production-grade tools across agent systems, cloud-native ML, and computer vision.
I'm currently exploring:
→ MCP-compliant pipelines for safer GenAI deployment
→ LLMOps architectures with advanced RAG memory and agentic planning
→ Cloud-based orchestration of multimodal systems (AWS, VPCs, Discord bots)
⚡ Open to roles in AI Engineering, Strategy, and Management — with a focus on GenAI deployment, agent systems, and applied research.
📫 You can reach me via LinkedIn
| Project | Description | Tags | |
|---|---|---|---|
| 100 days of cloud | AWS and multi-cloud learning log. Covers IAM, networking, containers, and AI/ML on cloud infrastructure. | Cloud AWS Multi-cloud Networking | |
![]() | EdgeMind Live Demo | 5G–6G edge orchestration framework integrating multi-agent swarms with Strands Agents and MEC for sub-100 ms decisioning | Agents Edge AI Cloud AWS 5G/6G |
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300 Days of Code 2025:
Year 2 log with focus on GenAI deployment, Chatbots, RAG, LLMOps, cloud-native workflows, MCP compliance, Discord agent tooling, and AWS ecosystem.
GenAIRAGLLMOpsCloudAWSMCPDiscord BotsToolingHackathons -
200 Days of Code 2024:
Core focus on computer vision, reinforcement learning, GANs, and graph-based neural networks.
Computer VisionGANsGNNsPyTorchRL
📚 Currently studying: Korean self-study (King Sejong materials + grammar review) · AWS SkillBuilder
🎯 Current interests: Generative AI on AWS · Cloud-native agent orchestration · Applied RAG for enterprise workloads
🏅 Currently participating in: Kiroween Hackathon · 100 Days of Cloud
✍️ Currently writing: EdgeMind research paper on agentic orchestration and 6G edge intelligence
I hang out at:




