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AI Tech Lead, NLP, LLM, Pretraining
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 Deep Learning & Reinforcement Learning (Chatbot, Conversational AI, NLU)
Carnegie Mellon University
Master, information system and management
N/A – Present
Zhejiang University
Bachelor of Engineering (B.Eng.), Control Engineering
N/A – Present
Apple
Machine Learning Tech Lead @ Apple
September 1, 2022 – Present
New York, New York, United States
Amazon
Machine Learning @ Alexa AI
September 1, 2016 – August 1, 2022
New York, New York, United States
Citi Institution Client Group Analytics
Data Scientist, Vice President
May 1, 2013 – August 1, 2016
Greater New York City Area
Barclays Bank
Data Scientist, Marketing Analytics
January 1, 2010 – April 1, 2013
Barclays Bank
Credit Risk Analyst
January 1, 2010 – April 1, 2011
PayPal / BillMeLater
Fraud Risk Modeler Intern
May 1, 2009 – August 1, 2009
edX Honor Code Certificate for Introduction to Big Data with Apache Spark
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in large, established tech companies (Apple, Amazon) and financial institutions (Citi, Barclays, PayPal), indicating adaptability to structured environments. The progression from Data Scientist to Machine Learning Tech Lead shows a growth mindset and ability to take on increasing responsibility. The diverse project experience, from financial analytics to LLM development, suggests a broad interest in data-driven challenges. However, the target role of 'Data Analyst' might be a step down from their recent 'Machine Learning Tech Lead' and 'Machine Learning' roles, potentially indicating a mismatch in career trajectory or a desire for a different type of challenge. The lack of specific project details or contributions makes it difficult to fully assess collaboration style or innovation.
Soft Skills & Operational Fit
The candidate's resume highlights leadership (Machine Learning Tech Lead) and independent project design (Barclays B2B ecosystem), suggesting strong initiative and problem-solving skills. Experience in fraud risk modeling and optimizing strategies indicates an analytical and detail-oriented approach. The descriptions imply a focus on delivering actionable insights and improving operational efficiency.