Software Engineer | MLOps & AI Infrastructure | Distributed Systems

Build the infrastructure that brings AI into production. Distributed architectures, message queuing, and financial data; Currently focused on engineering robust data pipelines, scalable MLOps environments, and applied AI solutions.

• Building: AI-driven search and data retrieval systems for financial markets.
• Exploring: LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and optimizing model deployment.
• Bridging the gap: Combining the reliability of Rust and Kubernetes with the dynamic capabilities of modern AI frameworks.

AI & MLOps Ecosystem (Growing) Smolagent • Vector Databases

Backend Python • Rust • Clojure • AWS ecosystem

Infrastructure & Deployment Kubernetes • Docker • CI/CD

🔨 Highlighted Projects

Wealthsimple Deepsearch Extension

• Overview: A powerful search and data extraction tool built for the Wealthsimple.
• Architecture: Focuses on high-efficiency data parsing and API design to surface financial insights.