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Sebastian GutierrezSG
Open to opportunities

Sebastian Gutierrez

@sebastiangutierrez2

I build cloud-native data and AI/ML platforms that improve manufacturing operations and automate complex workflows.

United States
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What I'm looking for

I'm looking to build scalable data and AI/ML products, solve complex operational problems, and collaborate across technical, product, and customer-facing teams.

At Apple, I lead the architecture, design, and development of four enterprise-grade data and AI/ML platforms supporting global manufacturing operations and product quality across nine product lines. I oversee scalable cloud-native solutions across 1,500+ Kubernetes production pods in two AWS regions.

Previously at uPlanner, I built Python and SQL automation solutions that eliminated more than 250 hours of manual work per semester, reduced transformation and validation work by 43%, and improved integration efficiency by 35%. I also designed an internal Python web platform that reduced product-information query time from 1.5 hours to under two minutes.

I bring experience across data engineering, product ownership, and technical instruction, including Django, OCR, REST APIs, machine learning, AWS, Azure, Tableau, and React-based visualizations. I enjoy translating complex data into practical tools and collaborating across technical, product, and customer-facing teams.

Experience

Work history, roles, and key accomplishments

Apple logoAP
Current

Software Project Lead

Oct 2024 - Present (1 year 11 months)

Led architecture, design, and development of four enterprise-grade data and AI/ML platforms, impacting global manufacturing operations and product quality across 9 product lines. Oversaw 1,500+ Kubernetes production pods across 2 AWS regions, optimized data pipelines handling 500k jobs weekly, and achieved zero-downtime releases via CI/CD.

Education

Degrees, certifications, and relevant coursework

Universidad Adolfo Ibáñez logoUI

Universidad Adolfo Ibáñez

Bachelor of Science, Computer Science Engineering

Pursued a Bachelor of Science in Computer Science Engineering, with coursework in data structures, algorithms, data mining, linear algebra, optimization for data science, and machine learning.

Tech stack

Software and tools used professionally

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