Focus on AI/DL/ML. Apache Spark Committer.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
databricks
Frontend Developer
June 26, 2026 – Present
n8n-nodes-openai-mlflow
April 21, 2026 – Present
n8n-nodes-openai-mlflow — GitHub repository
View Projectopenwrt-clash-meta
January 12, 2024 – January 12, 2024
openwrt-clash-meta — GitHub repository
View Projectpyspark-xgboost
April 13, 2022 – May 29, 2022
This feature was merged into XGBoost master. See https://github.com/dmlc/xgboost/pull/8020. If you want to try out this feature, please build from XGBoost master and report issues at https://github.com/dmlc/xgboost/issues.
View Projectgym
September 13, 2018 – October 1, 2018
A playground for experimenting ideas that are related to deep learning
View Projectpetastorm
June 15, 2018 – Present
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on backend, data engineering, and machine learning (Python, Spark, MLflow, XGBoost, Ray). While there is a current role as 'Frontend Developer', the personal projects do not strongly align with typical frontend development work, indicating a potential mismatch in passion or primary expertise for a dedicated frontend role. The diversity of technologies is present, but the focus is skewed away from frontend.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no actionable insights.