Managing Director
Capital Appreciation And Technology Leverage Strategies
AeroLeads people directory · profile
Shang-Chieh Wu Email & Phone Number
Managing Director
at
Capital Appreciation and Technology Leverage Strategies
1 work email found
@computer.org
2 phones found area 408
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Current company
Role
Managing Director
Location
San Jose, California, United States
Who is Shang-Chieh Wu? Overview
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Quick answer
Shang-Chieh Wu is listed as Managing Director at Capital Appreciation and Technology Leverage Strategies, based in San Jose, California, United States. AeroLeads shows a work email signal at computer.org, phone signal with area code 408, and a matched LinkedIn profile for Shang-Chieh Wu.
Shang-Chieh Wu previously worked as Engineering Leader, Ads at Apple and Senior Software Engineer at Google. Shang-Chieh Wu holds Phd, Computer Science from University Of Maryland.
Company email context
Email format at Capital Appreciation and Technology Leverage Strategies
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*@computer.org
68% confidence
AeroLeads found 1 current-domain work email signal for Shang-Chieh Wu. Compare company email patterns before reaching out.
Profile bio
About Shang-Chieh Wu
Industry experiences across Software Defined Networks, Autonomous Driving, Applied Machine Learning, Cloud Security, Low Latency and Big Data ETL, Internet Ads, Embedded Systems, and Computer Networking.
Listed skills include Distributed Systems, Linux, Java, Hadoop, and 35 others.
Current workplace
Shang-Chieh Wu's current company
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Capital Appreciation And Technology Leverage Strategies
AeroLeads page
17 roles · 24 years
Shang-Chieh Wu work experience
A career timeline built from the work history available for this profile.
Engineering Leader, Ads
Current
2022 - Present
~4 yrs 7 mos
Senior Software Engineer
Lead E2E WAN test framework as well as design multi-party daemons for QoS in Google Cloud.
2019 - 2021
~2 yrs
2018 - 2018
Founding Engineer
Build data pipeline from scratch to enable self-driving vehicles.
2017 - 2018
~1 yr
Senior Principal Software Engineer, Cloud Security
Improve sustainability of global large-scaled infra framework for Cloud Security
2016 - 2017
~1 yr
2016 - 2017
~1 yr
Senior Architect, Detect Team And Infrastructure Team
Improve sustainability of global large-scaled infrastructure for Cloud SecurityInnovate real-time machine learning-based detect system
2016 - 2016
Senior Architect
Design and implement algorithms for identifying malicious user behaviors
2015 - 2015
Technical Yahoo, Software Dev Eng, Principal
Building Yahoo first GPU-based Hadoop cluster for machine learning librariesDeep parallelize Yahoo-proprietary implementation of Gradient Boosting Decision Tree (GBDT)Design and implement scalable leader election algorithm for distributed decision tree
2014 - 2015
~1 yr
2014 - 2015
~1 yr
Technical Yahoo, Software Dev Eng, Principal
Architect Yahoo low-latency user data pipeline (Propane)Project lead for Yahoo web portals low-latency recommendation system (Mint)Project lead for Yahoo low-latency advertising data system (Zipline)Prototype Yahoo first Storm-based low-latency data dashboard
2012 - 2014
~2 yrs
Principal Distributed Software Engineer
Productize and prototype online advertising research projectsProject lead for Aol Hadoop-based predictive display advertising systemProductize Aol Click-Per-Action (CPA) campaigns revenue report framework
2010 - 2012
~2 yrs
Software Engineer
Speed up the boot process and power saving operationsDesign and implement connection policy for cellular & Wi-Fi connections
2009 - 2010
~1 yr
Software Engineer
Design and implement memory management APIs for Cisco unified Operating Systems (XOS)Implement XOS remote asynchronous inter-process communication on IOS- on-Neutrino (ION)
Mar 2008 - Sep 2009
Mar 2009 - 2009
Research Assistant
Propose multi-threaded multi-process framework to support loosely coupled applicationsPublish algorithms for runtime meta-data matching and remote caching of collective operations
2003 - 2008
~5 yrs
7 education records
Shang-Chieh Wu education
Phd, Computer Science
University Of Maryland
Executive Mba
Cambridge Judge Business School
Master Of Science - Ms, Statistics
Texas A&M University
Decision Analysis Graduate Certificate
Stanford University
2Nd Lieutenant
Army Training Command And Infantry School
Master Of Science - Ms, Computer Science
National Chiao Tung University
Bachelor Of Science - Bs, Electrical Engineering
National Tsing Hua University
FAQ
Frequently asked questions about Shang-Chieh Wu
Quick answers generated from the profile data available on this page.
What company does Shang-Chieh Wu work for?
Shang-Chieh Wu works for Capital Appreciation and Technology Leverage Strategies.
What is Shang-Chieh Wu's role at Capital Appreciation and Technology Leverage Strategies?
Shang-Chieh Wu is listed as Managing Director at Capital Appreciation and Technology Leverage Strategies.
What is Shang-Chieh Wu's email address?
AeroLeads has found 1 work email signal at @computer.org for Shang-Chieh Wu at Capital Appreciation and Technology Leverage Strategies.
What is Shang-Chieh Wu's phone number?
AeroLeads has found 2 phone signal(s) with area code 408 for Shang-Chieh Wu at Capital Appreciation and Technology Leverage Strategies.
Where is Shang-Chieh Wu based?
Shang-Chieh Wu is based in San Jose, California, United States while working with Capital Appreciation and Technology Leverage Strategies.
What companies has Shang-Chieh Wu worked for?
Shang-Chieh Wu has worked for Capital Appreciation And Technology Leverage Strategies, Apple, Google, Stealth Mode Startup, and Ghost Locomotion.
How can I contact Shang-Chieh Wu?
You can use AeroLeads to view verified contact signals for Shang-Chieh Wu at Capital Appreciation and Technology Leverage Strategies, including work email, phone, and LinkedIn data when available.
What schools did Shang-Chieh Wu attend?
Shang-Chieh Wu holds Phd, Computer Science from University Of Maryland.
What skills is Shang-Chieh Wu known for?
Shang-Chieh Wu is listed with skills including Distributed Systems, Linux, Java, Hadoop, Software Engineering, Programming, Scalability, and C++.
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