Marco La Rosa
Product Owner Business Analyst at Pacific Analytics
Greater Melbourne Area Australia
Summary
👤
Senior🎓
Top SchoolMarco La Rosa is a Product Owner and Business Analyst with 11 years of hands-on experience as a scientist-turned-full stack developer and dev/ops specialist, currently leading an 8-person distributed team at an AI-first data startup. He blends deep technical fluency—VueJS, Node, Docker, AWS, ElasticSearch, Postgres, Neo4j and Python—with product strategy, translating complex technical requirements into investor-ready roadmaps and deliverables. His career spans building high-performance computing clusters, scalable archival and research platforms, and the Describo research workspace that generates linked-data RO-Crates for scholarly publishing. Meticulous and analytical, he applies a first-principles approach to architecting manageable, performant systems while mentoring teams and shaping DevSecOps practices. Based in Melbourne with a PhD in Computational Chemistry, Marco pairs academic rigor with entrepreneurial experience founding multiple ventures and shipping cloud-native products that support cultural heritage and research workflows.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Science (Honours) Chemistry, Bachelor of Science (Honours) Chemistry at The University of Melbourne
English, Italian
Stackoverflow
43reputation
1kreached
0answers
2questions
Github Skills (114)
specification10
openstreetmap10
introjs10
dynamodb10
csv10
xlsx10
xlsxwriter10
excel-import10
visualization10
leaflet10
exceljs10
worksheet10
linked-data10
minify10
javascript9
Programming languages (14)
Github contributions (5)
CoEDL/nyingarn-workspace
Aug 2021 - Nov 2023
The Nyingarn data ingest and preparation application
Contributions:1 review, 41 PRs, 405 pushes in 2 years 4 months
preparationingestingest-data
marcolarosa/pdsc-collection-viewer
Apr 2015 - Aug 2019
Paradisec Collection Viewer
Contributions:521 commits, 6 PRs, 193 pushes in 4 years 4 months
paradiseclanguagesviewerangularjswebpack
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