Contact

Open to AI engineering roles, platform work, and applied AI collaborations.

Best-fit conversations involve backend-first AI platforms, evaluation systems, retrieval or workflow orchestration, and decision-support products moving beyond prototype stage.

Best channel

Email is best for anything concrete. LinkedIn works well for introductions and role discussions.

Based in

Singapore, with experience working across regional education, enterprise, and public-sector contexts.

Direct channels

Reach out where the context fits.

Email

weslee.qb@gmail.com

Best for project discussions, consulting inquiries, role outreach, and technical collaboration.

LinkedIn

linkedin.com/in/wes-lee

Useful for recruiter contact, professional introductions, and broader network conversations.

GitHub

github.com/Adredes-weslee

Browse the public repos, demos, and case studies behind the portfolio.

Best-fit work

The problems I am most useful on.

AI platforms and internal tools

Backend services, orchestration, review workflows, operator dashboards, and usable product surfaces.

Evaluation, benchmarking, and observability

LLM evaluation, multimodal artifact review, prompt optimization, tracing, and regression coverage.

Decision-support products

Education, workforce intelligence, finance, forecasting, and policy or operations tools tied to concrete decisions.

Good collaboration fits

Useful beyond full end-to-end product ownership.

0-to-1 prototyping and architecture

Early system framing, tool selection, API and workflow design, and technical direction for ambiguous builds.

Research and experimentation

Model comparison, retrieval systems, forecasting, prompt optimization, and evaluation-heavy product experiments.

Technical writing and stakeholder framing

Clear explanations of system choices, proposal and solution framing, and communication across technical and non-technical audiences.