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Staff Machine Learning Engineer @ Qualcomm AI Research
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a staff machine learning engineer with profound experience in both industry and academic research. My field of interest includes: • efficient ML/inference optimization with hardware awareness • Probalistic generative models • LLMs and LVMs
Drexel University
Master of Science (M.S.), Computer Engineering
January 1, 2013 – January 1, 2015
East China Normal University
Bachelor of Science (B.S.), Electrical, Electronic and Communications Engineering
January 1, 2008 – January 1, 2012
East China Normal University
Bachelor's degree, English Language and Literature, General
January 1, 2008 – January 1, 2012
Qualcomm
Machine Learning Engineer
March 1, 2018 – Present
San Diego County, California, United States
Caicloud
Machine Learning Engineer Intern
April 1, 2017 – July 1, 2017
Hangzhou-Shaoxing Metropolitan Area
Infinera
Manufacturing Product Engineer
August 1, 2015 – February 1, 2018
Allentown, Pennsylvania, United States
Huawei Technologies
Software Engineer
August 1, 2012 – August 1, 2013
Shanghai, China
Deep Convolutional Neural Network for Face Recognition and Analysis
August 1, 2016 – November 1, 2016
Designed and developed a deep learning based face recognition system for both camera and video frames to distinguish human faces and genders. 1. Used trained VGG model for Image Net competition as starting point and the model was fine tuned using face images from VGG human face dataset. 2. Developed deep learning forwarding in Python using Caffe 3. Designed and implemented the project using PyCaffe and PyQt(for GUI), dlib and opencv
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning and Computer Vision, with a brief stint as a Software Engineer at Huawei. While the target role is 'Backend Engineer', the most recent and detailed experiences are not directly aligned with typical backend development responsibilities (e.g., API design, database management, distributed systems). The project diversity is limited to ML/CV. This suggests a potential mismatch with a pure backend engineering role, which might require significant upskilling in core backend technologies and paradigms. The candidate's background in Electrical, Electronic and Communications Engineering, followed by Computer Engineering, indicates a strong technical foundation, but the career trajectory has been specialized in ML.
Soft Skills & Operational Fit
The candidate's resume highlights experience in developing complex systems and performing detailed analysis, suggesting strong problem-solving and analytical skills. The description of the intern role at Caicloud indicates a results-oriented approach (achieved top 5 mAP at 92.7%). However, without specific behavioral assessment data or interview transcripts, it is difficult to fully assess soft skills like teamwork, communication, or adaptability beyond what is implied by project descriptions.