Building AI Systems
That Scale.

LUSHIO

Professional Experience

• Built & Deployed Agentic AI Systems at Scale: Designed and developed intelligent agents capable of autonomous planning, tool use, and multi-step task execution.

• Cloud-Native on GCP: Architected and deployed scalable services using Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, Memorystore, and Cloud Storage.

• Built for Scale: Engineered systems to serve millions of users with high availability, horizontal scalability, and fault tolerance.

Western Uni & Instacart Research Project

• Conducted joint research at Western University and Instacart focused on large-scale data infrastructure and machine learning systems for search relevance and product intelligence.

• Worked closely with academic faculty and industry data teams to evaluate new methodologies, optimize ML pipelines, and translate research into practical product applications.

• The collaboration combined academic research with real-world engineering challenges to drive scalable and impactful outcomes.

• Worked with faculty researchers at Université de Sherbrooke under the Mitacs Globalink Research Internship program on advanced AI and data-driven methods.

• Focus Areas: Explored machine learning, deep learning, and optimization techniques for real-world problem solving and research applications.

• Research Impact: Contributed to experiments, data analysis, and model evaluation that supported the development of innovative research outcomes.