> less resume.pdf

Summary
Versatile, hands-on software engineer with experience building resource efficient and performant cloud infrastructure. Specifically compute services, serverless and systems for machine learning.
Work Experience
Huawei R&D UK
Edinburgh, Scotland, United Kingdom
05/2023 - Present
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Senior Research Engineer L17 - Systems
Work on cluster resource management, resource sharing & disaggregation, novel interconnects, heterogeneous hardware and systems for machine learning
  • Designed and implemented new scheduling algorithm reducing performance interference of colocated cluster workloads across shared resources.
  • Currently working on accelerator sharing and resource disaggregation, specifically aimed towards machine learning workloads.
Skills: Go, C++, CUDA, GPUs, Accelerators, Hardware Performance Counters, eBPF
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Huawei R&D UK
Edinburgh, Scotland, United Kingdom
11/2021 - 05/2023
Research Engineer L16 - Systems
Cluster level work to improve resource utilization, cost efficiency and performance of colocated workloads in Huawei data centers
  • Developed representative benchmark suite, load generator, infrastructure and experiment automation for evaluation of various projects.
  • Built new distributed scheduling architecture with improved scalability, fault-tolerance, high resolution metrics capture and reduced metric staleness compared to existing solutions.
  • Implemented various scoring algorithms, balancing resource utilization and performance degradation due to overcommitment.
  • Proposed several new research directions and architecture improvements. Mentored intern towards implementation of one such proposal.
Skills: Go, Python, Kubernetes, Serverless, Microservices, Prometheus, Performance Analysis
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IDLab (Ghent University, Imec)
Ghent Area, Belgium
08/2019 - 09/2019
Research Intern
Internship at the Knowledge on Web Scale group of IDLab. Developed web archival and web archive quality analysis tools for the PROMISE web archival project by the Royal Library of Belgium.
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IDLab (Ghent University, Imec)
Ghent Area, Belgium
08/2018
Research Intern
Internship at the Knowledge on Web Scale group of IDLab. Developed fragmented linked data R-tree index and client to enable efficient geospatial queries of linked data. Also created an ontology, scraping and conversion scripts to expose live bike sharing data as linked data.
Education
ETH Zurich
Zurich, Switzerland
Sep 2019 - Sep 2021
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Master of Science in Computer Science
Grade: 5.71/6 (Rank: Top 10%)
Focus on (Distributed) Systems and High Performance Computing.
Master thesis: Analysis and Optimization of Serverless Cold Start Latencies through Function Snapshots at the ETH Efficient Architectures and Systems Lab under supervision of Prof. Ana Klimovic
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Ghent University
Ghent, Belgium
Sep 2016 - Jun 2019
Bachelor of Science in Computer Science
Grade: 808/1000 (Rank: 1st of class)
Minor in Electronics and Telecommunication.
Technical Skills
Languages:
Go, C, C++, Python, CUDA
Technologies:
Kubernetes, Prometheus, Container Runtimes, eBPF, Serverless (FaaS)
Other:
Cloud Infrastructure, Distributed Systems, Operating Systems, Heterogeneous Hardware, Hardware Accelerators, High Performance Computing
Note: this list is non-exhaustive and only includes recently used skills. Generally, I am quick and eager to learn new languages, frameworks and technologies where necessary.
Interests
Outside of work, I enjoy tinkering with technology, piano, running, football, hiking and ski touring.

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