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Algorithm Engineer in the Martech industry & Arts Manager
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Currently working in education industry as a co-founder. Also running an art agency serving for global artists and designers. And working as an algorithm engineer at the top1 company in the container shipping industry.
University of San Francisco
Master's degree, Computer Science
January 1, 2015 – January 1, 2017
Convertlab
Sr. algorithm engineer
April 1, 2022 – Present
Shanghai, China
运去哪
Algorithm Expert
June 1, 2020 – April 1, 2022
Shanghai, China
Actiontec Electronics
Software Engineer-AI
November 1, 2017 – June 1, 2019
Shanghai, China
SnapLogic
Software Engineer Internship
January 1, 2017 – June 1, 2017
San Mateo, California
University of San Francisco
Research Assistant
January 1, 2017 – May 1, 2017
San Francisco Bay Area
University of San Francisco
Graduate Teaching Assistant
August 1, 2016 – December 1, 2016
San Francisco Bay Area
Distributed System
March 1, 2017 – May 1, 2017
Implemented a YARN-like MapReduce facility, with application master and node workers for map-reduce operations over large datasets, with a distributed file system, and fault tolerance to address data node failures. Built four main components and designed APIs for intercommunication across multiple nodes. (Java)
Config-Based Machine learning Model
January 1, 2017 – May 1, 2017
• Built recommendation system for leading project-management platforms. (Python) • Contributed software engineering expertise in the development of data exploration and data processing. • Provided different trained models - random forests, neural network, decision tree, etc - to improve integration assistant.
Prioritizing Application - Machine Learning
September 1, 2016 – December 1, 2016
This application is to help customer support team to prioritizing tickets automatically. • Analyze customer ticket data to figure out patterns (RapidMiner, Mongodb) • Used NLTK to do sentiment analysis and selected features from text contents. • Use python sciki-learn and tensorflow to do data processing, model training and testing based on multiple algorithms - decision tree, naive bayes, logistic regression, etc.
Social Web - CHINAhop
July 1, 2016 – Present
• A social website which help people explore China and get to know real Chinese culture and life there(Nodejs) • Implemented data visualization for different types of areas (D3 and JavaScript).
Java Translator to C
March 1, 2016 – Present
• Implemented a translator to translate Java into pure C, using ANTLR, StringTemplate. • Learned about language translation and how polymorphism and dynamic dispatch is implemented using vtables.
Java Compiler
February 1, 2016 – Present
• Built a read-eval-print loop (REPL) interface for Java code, which is similar to Python’s shell. • Learned about dynamic compilation, class loaders, and simple lexical analysis.
Web Service
October 1, 2015 – December 1, 2015
Developed a client-side web application similar to Yelp, along with an application-independent HTTP server, using Yelp API and Google API. (Java) It allows user to register, write reviews, star business and vote. Implement multi-thread work to ensure safety of data writing/reading among considerable users, using RDB(MySQL) in AWS to keep data.
Personal Website – Graduation Thesis and Project 2015
February 1, 2015 – June 1, 2015
• Designed my personal website using Dreamweaver and Photoshop, use JavaScript to implement dynamic pages to show my portfolios. • Used CSS and HTML to design my web UI, and use a database to collect visitors’ comments.
Yantai University Teaching Lab Open Funds Project
April 1, 2014 – Present
• Designed an intelligent function generator by OuartusIIunder EDA platform, which can accurately generate multiple waves - oblique wave, square wave, triangular wave, sine wave and step wave. • Designed buttons to control output wave form and displayed all the waves on the screen. • Improved design by using top-down method which means top-level design of the whole schema followed by BDF design figures.
Cultural Fit Analysis
The candidate has a strong background in AI and machine learning, with diverse projects ranging from social web data visualization to distributed systems and medical deep learning. While the target role is 'Data Analyst', the candidate's experience leans heavily towards 'Algorithm Engineer' and 'AI/ML Engineer'. This suggests a potential overqualification or a need to align expectations regarding the scope of a Data Analyst role. The breadth of projects indicates a curious and versatile individual, which could be a good cultural fit for an innovative environment, but the direct alignment with a pure Data Analyst role might require clarification.
Soft Skills & Operational Fit
The candidate's experience leading teams and projects suggests strong leadership and collaboration skills. The diverse project background indicates adaptability and a proactive approach to learning new technologies. The descriptions of leading teams to build applications and platforms imply good project management and communication within a technical context.