Ken Hu

About

Who I am

I'm a machine learning + data engineering consultant. My professional experiences range across data engineering, natural language processing, and artificial intelligence. My weapon of choice is Python.

Experiences

A printer-friendly CV

2023-
Independent Consultant

Machine Learning + Data Engineer
- Design and develop pricing model for key products
- Review, design, and develop KPI models and projections
- Review and design machine learning experiments
- Guide junior colleagues to execute machine learning projects
2018-2023
Doximity

Senior Machine Learning Engineer
- Lead teams of data analysts, scientists, and engineers
- Collaborated with product team to determine minimum viable solutions and long-term visions
- Designed, prototyped, and developed machine learning solutions for jobs and ads recommendation
- Designed and implemented an agile process for machine learning projects
- Automated data pipelines for email digests, newsfeed articles, and platform-wide ad contents
- Developed department-wide framework for configuring content feeds
2019-22

The New School for Social Research

MA, Liberal Studies
2016-18
Parallel Labs

VP of Engineering
- Lead team of four data scientists and engineers
- Designed and developed data pipeline to process news articles in real time
- Designed deep learning models through Keras on Tensorflow, Scikit-learn, and SpaCy
2015-16
Self-employed Contractor

Data Scientist / Engineer
- Created analytics dashboard for platform user activities with Django, Elasticsearch, and D3.js
- Developed microservice with predictive data model using Flask and Scikit-learn
- Developed backend RESTful API for dating application with scalable matching algorithm using Python and MongoDB
2014-15
Decisive

Data Engineer
- Architected data pipeline for processing over 500M data points a day with Python and Redis Queue
- Created RESTful realtime reporting API using Flask, Aerospike, and Amazon Redshift
- Developed web application for analyzing Facebook and Instagram marketing contents with Python, Redis Queue, and MongoDB
- Developed an MVP within 2 weeks for company pivot during TechStars Accelerator program
- Supported existing mobile advertisement web application in Django and MongoDB
- Enriched raw mobile data with external information
2013-14
Applied AI

Data Scientist
- Developed MVP through rapid iterations using Python and NLP technology
- Consulted as NLP and machine learning specialist
- Determined technical requirements from business requirements
2012-13
Soshio

Founder, CTO
- Managed product development, determined success requirements, and conducted necessary market research
- Developed proprietary NLP and machine learning engine for analyzing the Chinese language in Python
- Developed web application for delivering social intelligence using Flask, CouchDB, and D3.js
- Created infrastructure to acquire and process Weibo (Chinese Twitter) data
- Engage with sales prospects and support existing clients as technical consult
- Represented the team in conferences and media
- Onboarded and trained new hires
2010-12
Skyscanner

Developer
- Developed public facing RESTful search API in C# .NET and RabbitMQ
- Maintained and upgraded web scraping framework for acquiring travel data in Python and PostgreSQL
- Created and updated scrapers in Python for individual airline websites. Support production web scraper pool in CentOS
2009-10
University of Edinburgh

MSc, Artificial Intelligence, Learning from Data
- Finalist for 2010 Scottish Institute for Enterprise New Idea Competition in Science, Engineering, Technology category
- Learned and developed in Prolog for the MSc dissertation
- Dissertation in Experience Sharing for Ontology Repair System
2007-09
Hewlett Packard

Software Engineer
- Automated tests for Window based application
- Built test cases for testing web vulnerability scanner using C# .NET
- Supported internal procurement web application with Java
2003-07

Pennsylvania State University, University Park

BSc, Information Science and Techology, Design and Development