AI & LLMs

Specialized AI & LLM engineering.

I engineer practical, production-ready AI systems that solve real business problems — not shallow wrappers or fragile prototypes.

From local-first on-device LLMs that process confidential enterprise data with zero cloud latency to custom agentic pipelines that automate manual multi-step operations, every implementation is built with privacy, precision, and deterministic execution at its core.

Whether you need offline Ollama and vLLM orchestration, semantic vector retrieval with PostgreSQL pgvector, or autonomous event-driven agents with self-healing feedback loops, I build systems that integrate cleanly into your existing technology stack.

If you have a complex operational workflow or an ambitious AI product requirement, I can make it happen with production-grade reliability.

Featuring:

Local & Private Inference
Deploying quantized open-source models on private bare-metal or on-device hardware with zero third-party data leakage.
Autonomous Agentic Workflows
Multi-step agent architectures with tool calling, recursive validation, and automatic error self-correction.
Semantic Search & RAG
High-recall retrieval pipelines powered by hybrid vector search, reciprocal rank fusion, and PostgreSQL pgvector.
Real-Time Streaming UI
Token-by-token streaming interfaces with zero layout shift, smooth markdown parsing, and sub-50ms latency.
Structured Outputs & Extraction
Type-safe schema validation with Pydantic and Zod, turning messy documents and voice notes into clean relational data.
Cost & Latency Optimization
Semantic caching, prompt compression, and tiered model routing that cut API expenditure by up to 70%.