AI Systems Engineer
Founding AI engineer building production LLM runtimes, multi-agent platforms, and the infrastructure underneath.
$ focus --on llm-runtimes, agents, semantic-search, prod-infra
Open-source LLM runtime that abstracts OpenAI, Anthropic, and Gemini behind a unified async client with streaming, structured output validation, retries, circuit breakers, and provider routing. Powers six production AI products including CanApply's Dana platform.
Research-stage learnable scoring layer that separates access frequency from semantic salience in LLM memory systems — the failure mode that causes drift and recall failures in Mem0, Letta, and Zep on long-horizon tasks.
Production DAG-based agent orchestration runtime with 41 domain operators, 20+ tools, SSE streaming, multi-provider LLM execution, JSON Schema validation, and human-in-the-loop gates — serving CanApply's educational guidance workflows.
AI-native B2B SaaS platform that replaces manual resume screening and early-stage interviews with automated evaluation pipelines, LLM-based interview analysis, and candidate ranking systems.
A hybrid localization approach combining vision transformers with traditional geometric methods for robust self-localization of humanoid robots in RoboCup competition environments.
Comprehensive compilation and quality assessment of street-level urban air temperature measurements across European monitoring networks, published in Scientific Data (Nature Portfolio).
LLM / Retrieval / Search
AI / Machine Learning
Backend & Systems
Languages