I build production-oriented AI systems and autonomous agents — from retrieval and deep research to coding agents, tool use, evaluation, and secure execution.
My focus is turning LLM capabilities into reliable software systems.
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AI Agents — planning, tool use, multi-agent workflows, memory, and orchestration
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LLM Systems — model routing, structured generation, inference, and evaluation
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RAG & Deep Research — heterogeneous ingestion, retrieval, reranking, citations, and long-context workflows
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Coding Agents — repository understanding, SWE-bench workflows, code generation, and execution
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Computer-Use Agents — browser/computer interaction and multimodal agent evaluation
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Agent Infrastructure — sandboxed execution, observability, pipelines, storage, and deployment
Self-hosted AI research system for turning heterogeneous research materials — papers, source-code projects, datasets, and archives — into searchable and citable knowledge.
RAG · Deep Research · Document Intelligence · Python · Dagster · PostgreSQL · MinIO · Qdrant
Multi-model agent routing and evaluation system focused on selecting effective model responses while controlling inference cost.
LLM Routing · Agents · Evaluation · Model Selection
Experiments in autonomous software engineering and repository-level problem solving using SWE-bench.
Coding Agents · SWE-bench · Code Generation · Evaluation
Exploration of multimodal computer-using agents and environments for evaluating tool-driven interaction.
Computer Use · Multimodal Agents · Agent Evaluation · MCP
Secure execution infrastructure for AI agents using WebAssembly-based isolation.
Agent Infrastructure · Sandboxing · WASM · Secure Execution
LLM Agents ████████████████████
RAG / Retrieval ████████████████████
AI Engineering ████████████████████
Agent Evaluation ██████████████████
LLM Infrastructure██████████████████
MLOps ████████████████
AI / LLM
LLMs · RAG · Agents · Embeddings · Reranking · MCP · SWE-bench
Backend
Python · FastAPI · Pydantic · AsyncIO
Data & Retrieval
PostgreSQL · Qdrant · MinIO · Redis
AI Infrastructure
Dagster · Langfuse · Ollama · Docker
Building AI systems that can:
understand → retrieve → reason → use tools → execute → evaluate → improve
with an emphasis on reliability, observability, evaluation, and production deployment.




