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Senior Software Engineer, Artificial General Intelligence at Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Large Language Model Training & Fine Tuning: SFT, DPO, PEFT (LoRA), Prompt Engineering, Knowledge Distillation Frameworks: PyTorch, NVIDIA NeMo, Megatron-Transformer, Hugging Face Languages & Tools: Python, Java, Git, Jupyter, SQL, Linux Deployment & Ops: AWS SageMaker, Amazon Bedrock, Amazon EKS, Kubernetes, Docker
Northeastern University
Master's degree, Computer Engineering
January 1, 2014 – January 1, 2016
New York Institute of Technology
Bachelor's degree, Electrical and Computer Engineering
January 1, 2009 – January 1, 2013
Nanjing University of Posts and Telecommunications
Bachelor's degree, Electrical and Computer Engineering
January 1, 2009 – January 1, 2013
Amazon
Senior Software Engineer
October 1, 2025 – Present
Sunnyvale, CA
Amazon
Software Engineer
March 1, 2019 – October 1, 2025
Sunnyvale, CA
Suning R&D Center USA
Machine Learning Software Engineer
August 1, 2016 – February 1, 2019
Palo Alto, CA
EMC
Software Engineer (Co-op)
July 1, 2015 – December 1, 2015
176 South St, Hopkinton, MA 01748
Johnson Controls
Technical Support Intern
July 1, 2010 – August 1, 2012
Guiyang, Guizhou, China
Musical Library Website Development
January 1, 2014 – May 1, 2014
Built a professional music website, which supports users’ signing up, searching, subscription, comments, and songs playing, while developers are able to manage both the website and users. •Implemented back end of the application using JSP, Servlet and front end with JQuery •Designed separated interfaces with different functionality for administrators and users •Communicated and manipulated database from server side through JDBC and MySQL
Alcohol Detection System
September 1, 2012 – May 1, 2013
The system is used to deter drunk driving by analyzing breath content via a steering wheel based sensor • Found a suitable detection sensor, MQ-3, to detect alcohol • Used an Arduino board for data processing and programmed using Java • Implemented Bluetooth communication between this system and a cell phone based alert system
Generative AI with Large Language Models
DeepLearning.AI, Amazon Web Services
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Functional Programming in Scala
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans large tech companies (Amazon, EMC), R&D centers (Suning), and personal projects, indicating adaptability to different work environments. The diverse technical background, including embedded systems, web development, and advanced AI/ML, suggests a broad interest in technology and a willingness to tackle varied challenges. However, the target role is 'Data Analyst', while the candidate's recent experience is heavily skewed towards Software Engineering and Machine Learning Engineering. This might indicate a potential mismatch in day-to-day responsibilities and career aspirations, or a desire to transition into a more analytical role. The projects demonstrate initiative and problem-solving, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights contributions to complex systems like Alexa Conversations, suggesting strong problem-solving and collaboration skills. The detailed descriptions of project contributions imply an ability to work effectively in team environments and deliver on technical objectives. However, without specific psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.