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Senior AI Engineer at Logica building multi-agent infrastructure systems that cut over-provisioning by up to 25%.

Nicaragua
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At Logica, I spearheaded multi-agent systems for autonomous infrastructure management with LangGraph and PydanticAI. I built production LLM integrations and RAG pipelines that help agents reason over operational data and make infrastructure decisions.

I also developed machine learning pipelines for predictive resource scaling and GPU configuration optimization, reducing infrastructure over-provisioning by up to 25%. My work included connecting AI recommendations to developer workflows and monitoring quality, latency, and cost in production.

At Trunk Tools, I led development of an AI-powered knowledge graph and document understanding system for construction project intelligence. I built RAG and agent features for searching project documents, identifying risks, and recommending workflows; retrieval improvements raised answer precision from 71% to 89%.

At Quizlet, I owned a personalized learning engine and built conversational tutoring agents that reduced student help-desk volume by 40%. Earlier at Coveo, I built search and recommendation systems, contributing to improvements in click-through rate and average order value.

Experience

Work history, roles, and key accomplishments

LO
Current

Senior Software Engineer

Logica

Oct 2024 - Present (2 years)

Spearheaded the architecture and implementation of multi-agent systems for autonomous infrastructure management using LangGraph and PydanticAI, enabling real-time decision-making across distributed cloud environments. Engineered production-grade LLM integrations with sub-2-second response latencies and built RAG pipelines using LlamaIndex and Pinecone.

QU

Senior Software Engineer

Quizlet

May 2017 - Feb 2022 (4 years 9 months)

Owned the personalized learning engine that used machine learning and orchestration patterns to adapt study paths, serving millions of daily study sessions. Built conversational tutoring agents and question generation pipelines, reducing help-desk volume by 40% and optimizing inference latency from 800ms to 250ms.

Education

Degrees, certifications, and relevant coursework

University of Alberta logoUA

University of Alberta

Bachelor of Science, Computer Science

2008 - 2012

Bachelor of Science in Computer Science from the University of Alberta, completed in 2012.

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