Lucas Farris
Managing Architect (AI) at Capgemini
Lower Silesian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolLucas Farris is a Managing Architect (AI) with over a decade of hands-on experience building data platforms and ML solutions across startups and large enterprises in Europe and LATAM. He has progressed from mobile and backend engineering to senior data roles, leading teams that process millions of records daily to deliver recommendations, BI and GDPR-compliant analytics. At Valtech and Kin+Carta he combined technical leadership, line management and commercial acumen to help win six-figure engagements; at Homelike and UpCloud he focused on robust engineering for production ML and company-wide reporting. He holds an MSc in Data Science and a background in research computer science, which he pairs with practical product experience from early-career mobile product management. Colleagues describe him as a pragmatic architect who bridges behavioral-science informed modeling with scalable engineering to turn experimental prototypes into business-grade services.
11 years of coding experience
14 years of employment as a software developer
Exchange Student Electrical and Electronics Engineering, Exchange Student Electrical and Electronics Engineering at Czech Technical University in PragueHigh School Diploma, High School Diploma at Ray High SchoolResearch Computer Science, Research Computer Science at Universidade Estadual de CampinasUOC (Universitat Oberta de Catalunya)
Polish, Portuguese, English, Italian, Spanish
Stackoverflow
1,378reputation
271kreached
36answers
19questions
Github Skills (133)
azure-functions10
metadata10
serverless10
sdk10
lambda10
openid-connect10
aws-lambda10
serverless-framework10
data-catalog10
openid10
data-governance10
timetable10
linkedin10
aws10
datahub9
Programming languages (14)
Github contributions (5)
luksfarris/luksfarris.github.io
May 2015 - Mar 2025
My personal blog
Contributions:12 PRs, 112 pushes, 10 branches in 10 years
jekyllmy-personal-blog
luksfarris/deeprecsys
Apr 2021 - Jul 2022
pydeeprecsys is maily an environment that simulates a Reinforcement Learning environment, using realistic Recommender System data. It includes a set of tools and agents.
Contributions:20 commits, 12 PRs, 37 pushes in 1 year 3 months
recommenderreinforcement-learningagentsrealisticreinforcement
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