With extensive experience in AI/ML development, RAG frameworks, and cloud-based deployments, I have led teams in designing and deploying AI-driven solutions that optimize efficiency and drive business value. My expertise spans across FastAPI, Langchain, PG Vector, Azure Kubernetes, and CI/CD automation, making me an ideal fit for this role. In my previous roles, I have: - Designed and optimized AI applications using FastAPI, Python, and Pydantic, ensuring scalability and performance. - Implemented full-stack RAG architectures with LlamaIndex and Langchain, enabling advanced retrieval strategies. - Managed AI-driven databases, leveraging PostgreSQL with PG Vector and Graph Databases for high-performance data retrieval. - Built and deployed AI pipelines on Azure Kubernetes (AKS) while automating workflows with Apache Airflow and GitHub Actions. - Enhanced system stability through performance testing with Apache JMeter, ensuring AI services remain robust under load. I thrive in cross-functional teams, collaborating with engineers, data scientists, and cloud architects to deliver cutting-edge AI solutions. My experience in workflow orchestration, cloud deployment, and CI/CD automation positions me to contribute meaningfully to your AI initiatives. The opportunity to collaborate with cross-functional teams is what draws me most to this position. I've consistently found that integrating insights from various departments leads to more comprehensive and effective solutions. At my previous company, I facilitated regular cross-team workshops that not only improved communication but also led to a 20% increase in project completion rates. I'm enthusiastic about bringing this collaborative mindset to your team and contributing to your company's continued success.

LucyHunter

With extensive experience in AI/ML development, RAG frameworks, and cloud-based deployments, I have led teams in designing and deploying AI-driven solutions that optimize efficiency and drive business value. My expertise spans across FastAPI, Langchain, PG Vector, Azure Kubernetes, and CI/CD automation, making me an ideal fit for this role. In my previous roles, I have: - Designed and optimized AI applications using FastAPI, Python, and Pydantic, ensuring scalability and performance. - Implemented full-stack RAG architectures with LlamaIndex and Langchain, enabling advanced retrieval strategies. - Managed AI-driven databases, leveraging PostgreSQL with PG Vector and Graph Databases for high-performance data retrieval. - Built and deployed AI pipelines on Azure Kubernetes (AKS) while automating workflows with Apache Airflow and GitHub Actions. - Enhanced system stability through performance testing with Apache JMeter, ensuring AI services remain robust under load. I thrive in cross-functional teams, collaborating with engineers, data scientists, and cloud architects to deliver cutting-edge AI solutions. My experience in workflow orchestration, cloud deployment, and CI/CD automation positions me to contribute meaningfully to your AI initiatives. The opportunity to collaborate with cross-functional teams is what draws me most to this position. I've consistently found that integrating insights from various departments leads to more comprehensive and effective solutions. At my previous company, I facilitated regular cross-team workshops that not only improved communication but also led to a 20% increase in project completion rates. I'm enthusiastic about bringing this collaborative mindset to your team and contributing to your company's continued success.

Available to hire

With extensive experience in AI/ML development, RAG frameworks, and cloud-based deployments, I have led teams in designing and deploying AI-driven solutions that optimize efficiency and drive business value.
My expertise spans across FastAPI, Langchain, PG Vector, Azure Kubernetes,
and CI/CD automation, making me an ideal fit for this role.
In my previous roles, I have:

  • Designed and optimized AI applications using FastAPI, Python, and Pydantic, ensuring scalability and performance.
  • Implemented full-stack RAG architectures with LlamaIndex and Langchain, enabling advanced retrieval strategies.
  • Managed AI-driven databases, leveraging PostgreSQL with PG Vector and Graph Databases for high-performance data retrieval.
  • Built and deployed AI pipelines on Azure Kubernetes (AKS) while automating workflows with Apache Airflow and GitHub Actions.
  • Enhanced system stability through performance testing with Apache JMeter, ensuring AI services remain robust under load.

I thrive in cross-functional teams, collaborating with engineers, data scientists, and cloud architects to deliver cutting-edge AI solutions.
My experience in workflow orchestration, cloud deployment, and CI/CD automation positions me to contribute meaningfully to your AI initiatives.
The opportunity to collaborate with cross-functional teams is what draws me most to this position.
I’ve consistently found that integrating insights from various departments leads to
more comprehensive and effective solutions.
At my previous company, I facilitated regular cross-team workshops that not only improved communication but also led to a 20% increase in project completion rates. I’m enthusiastic about bringing this collaborative mindset to your team and contributing to your company’s continued success.

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Language

English
Fluent
Chinese
Fluent

Work Experience

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Education

Bachelor's degree in Computer Science at Mapúa University
April 1, 2013 - September 25, 2017
Focused on programming, software engineering and artificial intelligence

Qualifications

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