AI Full Stack Engineer | Nicholas Goh

Data Science and AI

A strong foundation in data science and AI, with expertise in machine learning and data-driven solutions, now informing my evolving focus.

Agentic Orchestration

Experienced in designing and implementing agentic workflows, leveraging LLMs to enable autonomous decision-making and collaborative task execution.

Cloud Orchestration

Skilled in provisioning and managing cloud resources using AWS and Terraform Infrastructure as Code (IaC)

Recommendations

I had the pleasure of working with Nicholas, and I’m genuinely impressed by their growth and contributions. A fast learner with a great attitude, Nicholas quickly ramped up on complex topics like LLM microservices and took initiative to implement practical solutions that improved team efficiency and led to meaningful cost savings. On top of that, Nicholas is friendly, collaborative, and always a joy to work with — a great asset to any team.

Nicholas is a fast learner who quickly identifies issues, conducts thorough research, and efficiently finds solutions to ensure project progress. He has been contributing to projects such as building LLM microservices for concurrent calls and developing a centralized model weight cache.

I had the opportunity to work with Nicholas both as his lead for a few months and later as a co-lead during his time as a junior developer on our team. He brought strong energy and initiative, kept up with the latest tools, and was always eager to contribute ideas. One of his highlights was independently diving into the new domain of AI agents and delivering a working demo. He also proposed a centralized weights caching approach, which saved space and improved efficiency. While there’s still room to grow in structured planning and deeper evaluation, his curiosity and drive stand out. With continued experience, I’m confident he’s on a path to achieve great things in his career.

I highly recommend Nicholas based on our time working together. He possesses a keen ability to identify operational inefficiencies and implement solutions that result in tangible time and cost savings which benefitted our development works. A standout contribution was his development of a deployable LLM microservice tailored for our restricted on-prem environment, which has helped accelerated development cycles needing on-prem LLM capabilties. Furthermore, Nicholas is a collaborative colleague with great expertise in advanced Bash configurations which I have learnt a lot from. He would be a valuable asset to any team.