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Senior AI Platform Engineer with 5+ years in Generative AI, LangChain & ML Platforms
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Assessing your cultural and operational fit
Senior AI engineer with 8+ years building production-grade AI platforms, distributed data systems, and large-scale ML infrastructure across SaaS and enterprise environments. Expertise in Python, LangChain, retrieval-augmented generation (RAG), feature platforms, and real-time inference systems deployed on AWS and Kubernetes. Delivered scalable architectures powering millions of ML predictions and data events daily, reducing system latency up to 40% while improving model deployment velocity and platform reliability. Experienced collaborating with ML researchers and platform teams to deliver AI-driven data products, LLM applications, and intelligent automation systems in high-throughput production environments.
University of the Philippines Diliman
B.S. · Computer Science
August 1, 2014 – June 30, 2018
Tecton
Senior AI Platform Engineer
August 1, 2024 – January 1, 2026
CA, US
Gatekeeper
Backend / AI Systems Engineer
September 1, 2022 – July 1, 2024
UK
Self-Employed
Full-Stack Developer
March 1, 2020 – July 1, 2022
India
AWS Certified Machine Learning – Specialty
AWS
August 1, 2023 – Present
AWS Certified Solutions Architect – Professional
AWS
June 1, 2021 – Present
Cultural Fit Analysis
The candidate has worked in diverse environments, from a large AI platform company (Tecton) to an enterprise procurement platform (Gatekeeper) and freelance full-stack development. This breadth of experience, coupled with their involvement in AI/ML, backend, and full-stack development, demonstrates adaptability and a wide range of technical interests. Their focus on scalable, high-throughput systems and continuous improvement aligns well with a dynamic, growth-oriented culture.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration in Agile teams and supporting international engineering teams, indicating good team collaboration and communication skills. Their experience in establishing observability pipelines and strengthening deployment reliability suggests a strong focus on operational excellence and incident response, which are critical for senior roles.