Liren Tu
Data ScientistBackward-deployed engineer @Liquid4All
liquid4all
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Backward-deployed engineer @Liquid4All
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
liquid4all
Data Scientist
June 23, 2026 – Present
readtube
February 2, 2026 – Present
Turn YouTube subscriptions into a personal newsletter. Reclaim focus in a world engineered for distraction.
View Projectllm-jp-eval
January 18, 2025 – Present
Modified llm-jp-eval with API and HF scripts for LFMs.
View Projectmt_bench
December 12, 2024 – July 9, 2025
Modified mt_bench with API and HF scripts for LFMs.
View Projecton-prem-stack
October 31, 2024 – July 9, 2025
Scripts to launch Liquid on-prem stack. This repo is deprecated, since LFMs are now open source.
View Projectprisma-template
October 3, 2024 – Present
Prisma template with better rollback functionality
View Projectnextjs-app-template
July 3, 2022 – Present
An app template with React / Nextjs / TypeScript / Mantine UI / Tailwind / Shadcn UI
View Projectmongoose-safe-query
August 23, 2020 – January 19, 2024
A mongoose plugin that verifies the fields in a query
View Projectpublish-gitbook
January 21, 2020 – October 19, 2022
Github action to publish gitbook to github pages https://tuliren.dev/publish-gitbook
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong inclination towards open-source contributions and tooling. The current role as 'Data Scientist' at 'liquid4all' aligns with the target role. However, the projects show a broad range of technologies (TypeScript, JavaScript, CSS, Shell, Python, Docker) which, while demonstrating versatility, might indicate a lack of deep specialization in core data science areas beyond LLM-related scripting. The absence of detailed project descriptions makes it difficult to assess collaboration or problem-solving approaches.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available.