Research funded by industry grants from Google (2016, 2018), Microsoft (2017), and AT&T Labs (2019)
Best Student Paper Award at Middleware 2021 for the 'Sizeless' paper
Delivered keynotes and invited talks at international venues, including STARLESS Workshop at PerCom'22 (2022 keynote), UIUC CS Colloquium (2022), and Charles University D3S Seminar (2024)
Contributed to the Apache Hadoop codebase
Member of USENIX, ACM, IEEE, and SPEC RG Cloud Computing working group
Research Experience
Worked for three years as a Software Engineering Intern on the Hadoop Core Team at Yahoo, Inc. (UIUC Research Park) during PhD studies
Collaborated on multiple projects with Prof. Yi Lu
Leads DiSEL lab projects in cloud computing, including storage workload modeling, model-based synthetic workload generation, cloud caching, and scheduling on Hadoop, containerized microservices, and serverless FaaS platforms
Opened two graduate and one undergraduate research positions in 2022–2023
Visited the University of Würzburg in March 2024 to continue work on the ROOT project
PC Co-Chair for ICPE 2024 (15th International Conference on Performance Engineering)
Background
Professor at ESPOL University in Guayaquil, Ecuador
Leads the Distributed Systems @ ESPOL Research Lab (DiSEL)
Co-directs the Big Data Research Group
Main research interests lie at the intersection of distributed systems and performance engineering
Focuses on improving performance and scalability of software infrastructure for Big Data and Cloud Computing
Aims to build systems that auto-adapt to workload changes without expert human intervention