Algorithm engineer at Zilliz, dedicating to the application of vector databases in the AI ecosystem.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
zilliztech
Data Scientist
June 21, 2026 – Present
memsearch
February 9, 2026 – Present
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.
View Projectvector-graph-rag
February 5, 2026 – Present
Graph RAG with pure vector search, achieving SOTA performance in multi-hop reasoning scenarios.
View Projectclaude-context
June 6, 2025 – Present
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
View ProjectNLWeb
April 28, 2025 – Present
Main reference implementation for NLWeb, implemented in Python.
View Projectdeep-searcher
February 8, 2025 – November 19, 2025
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
View Projectakcio
May 23, 2023 – November 20, 2023
Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.
View ProjectGPTCache
March 24, 2023 – July 11, 2025
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
View Projectexamples
April 11, 2022 – February 9, 2024
Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.
View Projectbootcamp
August 9, 2019 – Present
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards open-source contributions and cutting-edge AI research, which could indicate a proactive and collaborative mindset. However, all listed projects are personal, and there is no information on team collaboration or work attitude from the provided data. The experience level is 0, which contradicts the current Data Scientist role, suggesting a potential data discrepancy or very recent entry into the role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no actionable insights.