Brief Bio

I'm a cloud and AI infrastructure engineer focused on deploying language models in high-compliance environments. My work spans LLM ops, RAG pipelines, agentic workflows, evaluation frameworks, and cloud-native infrastructure — with experience across modern cloud tools and model testing at scale.

I started on the testing side — reading model outputs and policy documents side by side, building early frameworks to evaluate when a model was right, wrong, or misleading. That experience shaped how I approach both systems and trust: not just as technical problems, but as interpretive ones.

I see engineering as more than implementation. I enjoy working on teams where there's space to think critically, ask hard questions, and stay curious — especially when the system is complex, high-stakes, or hard to define. I tend to focus on the logic behind the system — how it works, why it fails, and what we're really optimizing for.

That's why I'm especially drawn to the edge where AI meets institutional behavior: how systems earn trust, distribute power, and adapt quickly enough to meet the needs of a fast-changing society.

Skills

Programming Languages: Python, JavaScript, Java, C++, HTML/CSS, SQL
Frameworks and Tools: Pytorch, AWS (Bedrock, Bedrock AgentCore, Lambda, S3, Athena Glue), HF-TGI, OpenSearch

Recent Work

Project Notegen - Music Generation

Our project employs a VQ-VAE in a convolutional architecture to create a versatile and compact musical note representation, enabling compression, generation, and seamless interpolation across instruments and pitch, prototyping new music synthesis and virtual instrument possibilities.

IndoPacific Sentiment Analysis Project

Leverage data relating to Indo-Pacific countries of interest to build a dashboard with sentiment analysis visuals for cross-functional stakeholders (Tableau/Python)

Get In Touch

Please feel free to get in touch with me if you want to work on a project of any kind or if you just want to chat.

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