I'm a software engineer interested in backend systems, ML infrastructure, distributed systems, and open-source tooling.

Currently at Microsoft, I'm working on online services and authentication infrastructure, including Microsoft Entra ID, token validation, authorization, gateways, and reverse-proxy-based service architecture.

Previously at Improving, I built open-source integrations around Valkey and vector search, contributing to projects including Netflix Conductor, Unstructured, and ChatDev. My work included HNSW/KNN retrieval, vector database connectors, multi-agent memory systems, and reliability-focused ingestion workflows.

Before that, at Inverted AI, I worked on autonomous-driving simulation infrastructure — optimizing DRIVE API usage, building large-scale simulation systems in C++, using spatial partitioning for agent management, and exporting ML models to ONNX for deployment on embedded hardware.

• Distributed systems, backend infrastructure & scalable services
• Vector databases, semantic search & retrieval systems
• ML infrastructure, inference systems & model deployment
• Multi-agent systems, agent memory & LLM tooling
• Applied machine learning for simulation and intelligent systems
• Systems optimization, low-latency services & performance engineering
• Open-source infrastructure, developer tooling & platform engineering
• C++ systems programming and production backend development
• Cloud infrastructure, authentication & authorization systems
• Computer vision, multimodal models & embodied AI

📫 How to reach me: [email protected]