SAMUEL SEE

I’m a Senior AI/ML Engineer focused on building production AI platforms, cloud-native applications, and scalable machine learning solutions across startup and enterprise environments. I design, deploy, and optimize AI-powered systems—especially GenAI, LLMs, and RAG—while partnering closely with data scientists, engineers, product teams, and stakeholders to turn business needs into reliable technology.

At Replicant, I designed and deployed production AI-powered conversational systems for enterprise-scale voice automation, improving customer interaction efficiency by 37%. I built end-to-end ML pipelines and improved model reliability and operational efficiency by 34%, while optimizing model performance (prompt engineering, inference tuning, caching, and monitoring) to reduce response latency by 28%. I also implemented MLOps best practices—automated deployment, model monitoring, CI/CD, and observability—to keep highly available systems running smoothly.

At Jasper.ai, I developed production Generative AI features using Large Language Models to support thousands of daily content generation requests. I implemented RAG, semantic retrieval, and prompt engineering to reduce hallucinations and improved response relevance by 35%, while optimizing inference and backend infrastructure to lower latency by 31% and increase reliability. I also established automated model evaluation, monitoring, experimentation, and A/B testing workflows to continuously improve production performance.

Earlier, at Jelastic PaaS and Cisco, I built scalable backend services and enterprise data pipelines, including multi-tenant cloud platform capabilities and production-ready datasets for analytics and ML initiatives. I’m passionate about continuous learning and state-of-the-art AI adoption—so my systems stay performant, dependable, and aligned with real-world outcomes.