Joan Xiao
NLP EngineerAI/ML Professional
Prophecy
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Professional
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine learning and engineering leader with hands-on experience developing a wide range of software applications. Specialties: LLM, generative AI, RAG, Agents, NLP, chatbot, conversational AI, deep learning, machine learning, data mining, text mining, distributed computing, big data analytics
University of Pennsylvania
PhD, Mathematics
N/A – Present
University of Science and Technology of China
BS, Mathematics
N/A – Present
University of Pennsylvania
MS, Computer Science
N/A – Present
Prophecy
Principal ML Engineer
June 1, 2025 – Present
Capacity
Director of AI Engineering
October 1, 2024 – May 1, 2025
Remote
Linc
Principal ML Engineer / Director of AI Engineering
April 1, 2021 – September 1, 2024
Linc
Principal ML Engineer
July 1, 2019 – April 1, 2021
Figure Eight
Lead Machine Learning Scientist
January 1, 2018 – June 1, 2019
Acquired by Appen
H5
Sr. Manager, Data Science
March 1, 2015 – January 1, 2018
Acquired by Lighthouse
HP
Engineering Manager
July 1, 2010 – March 1, 2015
Palm Inc.
Staff Engineer
August 1, 2006 – July 1, 2010
Acquired by HP
Machine Learning
Coursera
June 24, 2026 – Present
PMP
Project Management Insitute (PMI)
June 24, 2026 – Present
Scalable Machine Learning
edX
June 24, 2026 – Present
The Analytics Edge
edX
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Self-Driving Car Engineer Nano Degree
Udacity
June 24, 2026 – Present
R Programming
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks:
Coursera
June 24, 2026 – Present
Getting and Cleaning Data
Coursera
June 24, 2026 – Present
Statistical Inference
Coursera
June 24, 2026 – Present
Reproducible Research
Coursera
June 24, 2026 – Present
Regression Models
Coursera
June 24, 2026 – Present
Mining Massive Datasets
Coursera
June 24, 2026 – Present
Introduction to Natural Language Processing
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera
June 24, 2026 – Present
Exploratory Data Analysis
Coursera
June 24, 2026 – Present
Developing Data Products
Coursera
June 24, 2026 – Present
Practical Machine Learning
Coursera
June 24, 2026 – Present
Foundations of Data Analysis
edX
June 24, 2026 – Present
Statistical Learning
Stanford University
June 24, 2026 – Present
Introduction to Big Data with Apache Spark
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a consistent focus on AI/ML, particularly within NLP and conversational AI domains, which aligns well with a specialized NLP Engineer role. Their experience spans various companies, including startups (Linc, Capacity) and larger corporations (HP, Palm Inc., Figure Eight, H5), indicating adaptability to different organizational cultures. The breadth of skills listed across their roles (Generative AI, RAG, multi-agent systems, information retrieval, deep learning) suggests a continuous learning mindset and a willingness to explore new technologies, which is a positive indicator for cultural fit in an innovative environment. The lack of project diversity outside of AI/ML, while strong for the target role, might suggest a highly specialized focus.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Principal ML Engineer, Director of AI Engineering, Sr. Manager, Data Science, Engineering Manager) suggests strong soft skills in team management, project leadership, and strategic planning. Their career progression indicates an ability to take on increasing responsibility and drive technical initiatives. The descriptions of their work on improving NLU and leading teams imply strong problem-solving and collaboration skills. However, without specific psychometric test results or interview data, a definitive assessment of work attitude, stress handling, and direct team collaboration is limited.