Software Engineer, AI · Building agentic systems for academic research and writing
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I'm a Software Engineer, AI at Cactus Communications, working on agentic systems and AI-powered research and writing workflows.
I enjoy working across the AI engineering stack — from model and prompt experimentation to agent orchestration, tool integrations, backend APIs, deployment, and production reliability.
My research background spans machine learning and deep learning, with journal and conference publications across areas including explainable AI and federated learning.
- Agentic AI and multi-agent systems
- Large language model systems and evaluation
- Model Context Protocol (MCP) and tool integrations
- Retrieval, context engineering, and long-term agent memory
- AI systems for research and scientific workflows
AI: LLMs · Agentic Systems · MCP · RAG · Model Evaluation
Engineering: Python · TypeScript · FastAPI · PostgreSQL
Infrastructure: AWS · Docker · Kubernetes
I also work on academic research across machine learning, deep learning, explainable AI, and federated learning, with 180+ citations across my publications.


