Available to hire
I’m Joe Cardoso, an AI/ML engineer and a full stack developer who loves shipping cloud-native platforms and scalable web applications. I enjoy guiding collaborative teams and turning complex ideas into reliable, measurable software solutions with a focus on observability and performance.
I’ve built and led full‑stack systems for diverse teams, improving deployment reliability and accelerating feature delivery. I’m passionate about expanding engineering impact by enabling contributors and creating intelligent, maintainable architectures that scale with business needs.
Skills
Experience Level
Expert
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Language
English
Fluent
Portuguese
Advanced
Work Experience
Software Engineer & Co-Creator at Vispyr
November 1, 2025 - February 1, 2026Built CLIP provisioning tool on AWS, automating CDK and CloudFormation for EC2, VPC, IAM; reduced setup time from 2–4 hours to under 10 minutes; collaborated on platform architecture and onboarding processes.
Full Stack Developer at Quantum Mob
January 1, 2023 - December 31, 2025Built full-stack apps using React, TypeScript, Python, Django, PostgreSQL, and MongoDB. Processed thousands of daily requests, enabled real-time payload inspection and request tracing, and cut API debugging time by 65% through structured logging and observability tools.
Full Stack Engineer at Quantum Mob
January 1, 2023 - January 1, 2025Built full-stack applications using React, TypeScript, Python (Django/Flask) and PostgreSQL; developed scalable architectures on AWS; created reusable React components and standardized deployments; contributed to modernization of frontend/backend pipelines and improved page performance.
Backend Developer at Undisclosed
January 1, 2020 - December 31, 2022Built back-end systems (Django/Flask + PostgreSQL) handling 10K-100K+ records/day with optimized schema design. Delivered full SDLC work on AWS, improving release reliability by 30%.
Backend / Full-Stack Engineer at Quantum Mob
January 1, 2020 - January 1, 2023Built backend systems (Django/Flask + PostgreSQL) handling 10K–100K+ records/day with optimized schema design. Delivered end-to-end SDLC on AWS, improving release reliability by 30%.
Education
Master of Engineering in Mechanical Engineering at Texas A&M University
January 1, 2014 - January 1, 2016Bachelor of Science in Mechanical Engineering at Universidade Federal de Minas Gerais (UFMG)
January 1, 2008 - January 1, 2014Master of Engineering in Mechanical Engineering at Texas A&M University
January 1, 2014 - December 31, 2016Bachelor of Science in Mechanical Engineering at Universidade Federal de Minas Gerais (UFMG)
January 1, 2008 - December 31, 2014Qualifications
Industry Experience
Software & Internet, Media & Entertainment, Professional Services, Other
Skills
Experience Level
Expert
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