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I'm Sebastian Tapia Zapata, an AI specialist with a passion for turning cutting-edge ML into real business outcomes. With 2 years of hands-on experience, I balance innovation with practicality as I design and deploy machine learning solutions that deliver measurable impact. I lead cross-functional teams to implement ethical AI systems and optimize large language models, achieving a 35% reduction in inference costs without compromising performance. I thrive in collaborative environments where technical expertise meets strategic vision.…I'm Sebastian Tapia Zapata, an AI specialist with a passion for turning cutting-edge ML into real business outcomes. With 2 years of hands-on experience, I balance innovation with practicality as I design and deploy machine learning solutions that deliver measurable impact. I lead cross-functional teams to implement ethical AI systems and optimize large language models, achieving a 35% reduction in inference costs without compromising performance. I thrive in collaborative environments where technical expertise meets strategic vision.

Sebastian Tapia Zapata

AI Engineer, Data Scientist, AI Ethics Consultant, +2

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I'm Sebastian Tapia Zapata, an AI specialist with a passion for turning cutting-edge ML into real business outcomes. With 2 years of hands-on experience, I balance innovation with practicality as I design and deploy machine learning solutions that deliver measurable impact. I lead cross-functional teams to implement ethical AI systems and optimize large language models, achieving a 35% reduction in inference costs without compromising performance. I thrive in collaborative environments where technical expertise meets strategic vision.…I'm Sebastian Tapia Zapata, an AI specialist with a passion for turning cutting-edge ML into real business outcomes. With 2 years of hands-on experience, I balance innovation with practicality as I design and deploy machine learning solutions that deliver measurable impact. I lead cross-functional teams to implement ethical AI systems and optimize large language models, achieving a 35% reduction in inference costs without compromising performance. I thrive in collaborative environments where technical expertise meets strategic vision.

Available to hire

I’m Sebastian Tapia Zapata, an AI specialist with a passion for turning cutting-edge ML into real business outcomes. With 2 years of hands-on experience, I balance innovation with practicality as I design and deploy machine learning solutions that deliver measurable impact.

I lead cross-functional teams to implement ethical AI systems and optimize large language models, achieving a 35% reduction in inference costs without compromising performance. I thrive in collaborative environments where technical expertise meets strategic vision.

Language

English

Fluent

Spanish; Castilian

Fluent

Work Experience

AI Architect at SynthAI

October 1, 2025 - October 1, 2025

Architected a multi-modal AI system that reduced diagnostic errors by 43% across 15 hospital networks, integrating medical imaging analysis with patient history to provide contextual insights within 30 seconds. Spearheaded the development of an explainable AI framework adopted by regulatory bodies in 3 countries, balancing transparency requirements with 99.7% model accuracy while maintaining HIPAA and GDPR compliance. Contributed with a team of 18 data scientists and ML engineers to deploy 5 enterprise-scale AI solutions that generated $42M in revenue during FY2024, while mentoring 7 junior team members to promotion.

AI Researcher at CogniTech

December 1, 2024 - December 1, 2024

Built and deployed a predictive maintenance model that identified equipment failures 9 days before occurrence, preventing $3.2M in downtime losses during the first year of implementation. Helped engineer a natural language processing pipeline that extracted actionable insights from 50,000+ customer reviews, enabling the product team to prioritize features that drove a 17% increase in retention. Streamlined data preprocessing workflows by developing automated cleaning and validation scripts, reducing model training time from 72 hours to 8 hours while improving data quality metrics.