John Cordeiro
Head Of Product And Technology, VTEX Agentic CX
Alagoas, Brazil
Summary
👤
Senior🎓
Top SchoolJohn Cordeiro is a seasoned product and technology leader with 11 years of experience designing and scaling mobile, web and machine-learning products; he currently leads VTEX Agentic CX, an AI-native platform for automating customer experience across conversational channels. He has a track record of taking products from prototype to production and scale—covering prototyping, validation, business-model design and software architecture—built while leading Weni’s technology teams. Hands-on early in his career as a backend developer, he contributed referral-handling improvements to the well-known RapidPro open-source messaging platform, reflecting a practical focus on integrations and reliable automation. Based in Alagoas, Brazil, he blends engineering depth from his computer engineering background with product leadership and a knack for turning conversational AI research into operational systems.
11 years of coding experience
8 years of employment as a software developer
Engenheiro de Computação, Tecnologia em Engenharia da Computação, Engenheiro de Computação, Tecnologia em Engenharia da Computação at Universidade Federal de AlagoasEstácio de Sá University
English, Spanish
Stackoverflow
2,181reputation
179kreached
17answers
0questions
animation
top-1%
android
top-5%
draw
top-1%
Github Skills (20)
facebook-api10
draw10
python10
animation10
django10
testing9
py9
apidoc9
android9
api9
rest-api8
api-rest8
restful-api8
api-design8
firebase-cloud-messaging6
Programming languages (11)
Github contributions (5)
rapidpro/rapidpro
Jan 2016 - Jul 2020
RapidPro allows organizations to visually build scalable interactive messaging applications.
Role in this project:
Backend Developer
Backend DeveloperContributions:62 commits, 8 PRs, 58 comments in 4 years 6 months
Contributions summary:John primarily contributed to the backend logic of the RapidPro application, specifically focusing on referral support within the Facebook channel. Their work involved modifications to `temba/channels/handlers.py` to handle referral scenarios for both existing and first-time users. They also introduced changes to `temba/triggers/models.py` and `temba/triggers/views.py` to support various referral trigger types and case-insensitive referral ID matching, and integrated test cases. These changes enhanced the application's ability to manage referral campaigns.
scalableorganizationsrapidpromessaging
udomobi/mage
Apr 2016 - Aug 2018
High performance Dropwizard based webserver for receiving incoming messages on behalf of RapidPro
Contributions:10 PRs, 13 pushes, 1 branch in 2 years 4 months
golangdropwizardon-behalf-ofincomingperformance
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