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Senior Security Engineer @ LinkedIn
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Assessing your cultural and operational fit
I’m a software engineer who builds tools and services for information security. I work across back-end services, proxy sidecars, libraries, CLIs, full-stack apps, and AI/LLM systems. I’ve led cross-team efforts and built systems on the critical path for hundreds of internal applications, especially in identity, access, and secure system design. More recently, I’ve been building AI agents and the tooling, infrastructure, and guardrails needed to help them operate securely and with less friction.
Tufts University
Master of Science (MS), Computer Science
January 1, 2014 – August 1, 2016
Huazhong Agricultural University
B.A., Land Resource Management
January 1, 2000 – January 1, 2004
Senior Software Engineer - Information Security
February 1, 2019 – Present
Greater Boston Area · Remote
Udacity
Project Reviewer - Deep Learning
May 1, 2017 – December 1, 2018
Remote · Remote
IBM
SecOps Engineer at IBM Watson Health
April 1, 2017 – February 1, 2019
Cambridge, MA
Sound Global Ltd
Investment Manager
March 1, 2013 – May 1, 2014
Beijing, China
ClimaXmi Beijing 科洣咨询
Project Manager
May 1, 2012 – March 1, 2013
Beijing, China
Enecore Carbon
Project Manager
February 1, 2011 – May 1, 2012
Beijing City, China
UNDP
Research Assistant
February 1, 2010 – December 1, 2010
Beijing City, China
Udacity Nanodegrees: Deep Learning, Self-Driving Car
January 1, 2017 – December 1, 2018
I've gained two nanodegrees from Udacity: # Deep Learning Learned the fundamentals of deep learning by doing hands-on projects using Numpy and TensorFlow. The topics include Basic Neural Network, Convolutional Neural Network(CNNs), Recurrent Neural Networks(RNNs), and Generative Adversarial Networks(GANs). # Self-Driving Car Learned about various topics including computer vision, path planning, control, system integration, and ROS, etc. I enrolled in the program because self-driving is very cool, super challenging, and potentially useful. "Through interactive projects in computer vision, robotic controls, localization, path planning, and more, you’ll prepare yourself for a key role in this incredible field. If your goal is to build the future, then your future begins here."
Cultural Fit Analysis
The candidate has a diverse background, including significant experience in environmental and investment management before transitioning into software engineering and security. The pursuit of Udacity Nanodegrees in Deep Learning and Self-Driving Cars demonstrates a strong interest and initiative in the ML domain, aligning with a growth-oriented culture. The transition from non-technical to technical roles, and then into security, shows adaptability. However, the direct cultural fit for a dedicated ML Engineer role, particularly in a fast-paced research or product development environment, is not fully evident from the provided data.
Soft Skills & Operational Fit
The candidate's experience as a Project Reviewer at Udacity and previous project management roles suggest an ability to manage tasks, provide feedback, and potentially work independently. The description of building a Python tool to speed up project reviews indicates a proactive problem-solving approach. However, specific soft skills for an ML Engineer role (e.g., collaboration in complex model development, presenting technical findings) are not explicitly detailed.