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
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.