Rodrigo Franco Toso

About Rodrigo Franco Toso

Experienced, versatile research and development computer science professional with interests as well as demonstrated results in multidisciplinary roles that make use of machine learning – including time-series decision-making, clustering, regression, classification, and exploratory data analysis – and mathematical optimization. I have results in the areas of optimal control, telecommunications, finance/econometrics decision-making, and relevance/revenue optimization. I am well-versed in computer science theory and applications and very open to explore new areas and paradigms.

Experience

1. Principal Applied Science Manager

   Microsoft

   Feb 2017 — Present · Bellevue, WA, US

   My team has worked extensively on the New Bing, which leverages GPT-4 and other LLMs in Search & Conversation. We developed cutting-edge solutions for Prometheus grounding (RAG), near real-time LLM engineering and prompting for defect rate improvements, capacity planning and optimization, and Chat answer triggering and integration on the Bing SERP.While we successfully delivered key components of the New Bing, my team\'s main focus is on applying machine learning to optimize Bing’s revenue, relevance, and competitiveness across the whole page. We run and ship dozens of A/B experiments with end-user features every month.We are active contributors to the Machine Learning and Data Science community at Microsoft, with regular talks and publications at MLADS (Microsoft ML and DS Conference) and MSJAR (Microsoft Journal of Applied Research).

Education

• Universidade Federal Fluminense

  Master of Science (M.Sc.), Computer Science

  2004 — 2006

• Universidade Federal de Lavras

  Bachelor of Science (B.Sc.), Computer Science

  2000 — 2004

• Rutgers University

  Doctor of Philosophy (Ph.D.), Computer Science

  2008 — 2016

Skills

• Computer Science
• Algorithms
• Experimental Analysis of Algorithms
• Data Structures
• Optimization
• Pattern Recognition
• Machine Learning
• Clustering
• Data Analysis
• Hidden Markov Models
• C++
• Stl
• Java
• Weka
• Operations Research
• Artificial Intelligence
• Combinatorial Optimization
• Mathematical Programming
• R
• Data Mining
• C
• Quantitative Analytics
• Mathematical Modeling
• Distributed Systems
• Python
• Quantitative Finance
• Programming
• High Performance Computing