Jianqiao Feng
Data AnalystEngineering Manager at Cruise
Cruise
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Engineering Manager at Cruise
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Perception of autonomous vehicles at Cruise
The Johns Hopkins University
PhD, Electrical and Computer Engineering
January 1, 2014 – Present
Peking University
Master, Computer Science
N/A – Present
Shandong University
Bachelor's degree, Computer Science
N/A – Present
Cruise
Engineering Manager
November 1, 2021 – Present
Sunnyvale, California, United States · Hybrid
Senior Software Engineer / Tech Lead Manager
May 1, 2018 – October 1, 2021
Mountain View, California, United States
Software Engineer
January 1, 2015 – May 1, 2018
Mountain View, California, United States
Siemens Corporate Research
Intern
June 1, 2012 – August 1, 2012
United States
Johns Hopkins University
Research Assistant
August 1, 2009 – November 1, 2014
Microsoft Research Asia
Research Intern
August 1, 2008 – January 1, 2009
2008 Olympic game
Volunteer
July 1, 2008 – July 1, 2008
Beijing, China
Peking University
Research Assitant
November 1, 2007 – May 1, 2009
Beijing, China
Founder International
Internship
February 1, 2007 – October 1, 2007
Machine Learning in Computational Anatomy (MR images)
September 1, 2013 – Present
Extract shape,cortical thickness, and appearance features from 3D MR images. Super-high-dimension classification between disease of Alzheimer's type and normal aging cases. Explored deep learning, sparse coding and manifold learning applied to medical images.
Shape Analysis for Alzheimer's Disease.
May 1, 2013 – September 1, 2013
This project studies the problem of embedding healthy control (HC) and Alzheimer's disease (AD) subjects into an anatomical shape space by computing a dissimilarity representation between subjects. Manifold learning techniques are applied on the dissimilarity representation to obtain embeddings for different subjects followed by classification in the embedded space. - Matlab, bash script, C++.
Face Recognition Project
October 1, 2012 – February 1, 2013
Implemented a prototype system of face-recognition. Occlusion and shadow are removed by Robust Principle Component Analysis. Compared the performance of sparse representation classifier and SVM on Feret database.
Supervised learning for vessel detection in CT images.
May 1, 2012 – September 1, 2012
Pre-processing of images to improve detection accuracy. Implemented feature extraction/evaluation and classification algorithms. Explored dictionary learning methods applied on medical images.
Unsupervised Learning For Spatial Outliers Detection In A Location Entity Dataset
September 1, 2008 – January 1, 2009
Designed Implemented an unsupervised learning algorithm and developed a tool to automatically detect error data entries for Windows Live Local Search (predecessor of Bing maps). Incorporated density-based clustering and natural language processing. Developed a tool for labeling landmark.(JavaScript/live local search API)
Content-based Image Retrieval (CBIR) project
September 1, 2007 – July 1, 2008
Implemented a web-based prototype of CBIR, running on a 10,000-image database. Developed a new Query-by-Multiple-Example method based on user's feedback to refine the result.
Image enhancement on halftone image for printer
March 1, 2007 – July 1, 2007
Designed and developed image processing/enhancement algorithm specified for halftone image for improving printing quality of printers (collaborated with KYOCERA Co. JP). (C++/OpenCV)
Cultural Fit Analysis
The candidate's extensive academic and professional background in research and development, particularly in machine learning and computer vision, aligns well with a data-driven culture. The variety of projects, from medical imaging to spatial data mining and face recognition, indicates intellectual curiosity and a willingness to tackle diverse challenges. However, the target role of 'Data Analyst' might be a step down from their recent Engineering Manager/Tech Lead Manager roles, which could impact long-term cultural fit if the role does not offer sufficient technical depth or leadership opportunities.
Soft Skills & Operational Fit
The candidate's experience as an Engineering Manager and Tech Lead Manager at Google and Cruise suggests strong leadership, communication, and team collaboration skills. The project descriptions, while technical, are clear and concise, indicating good written communication. The diverse project portfolio demonstrates adaptability and a proactive approach to problem-solving.