Oliver Chang
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Oliver Chang Email & Phone Number

Sr. Principal AI and ML Software Engineer at BAE Systems, Inc.
Location: Denver, Colorado, United States 6 work roles 3 schools
1 work email found @projectcanary.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email o****@projectcanary.com
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Current company
Role
Sr. Principal AI and ML Software Engineer
Location
Denver, Colorado, United States

Who is Oliver Chang? Overview

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Quick answer

Oliver Chang is listed as Sr. Principal AI and ML Software Engineer at BAE Systems, Inc., based in Denver, Colorado, United States. AeroLeads shows a work email signal at projectcanary.com and a matched LinkedIn profile for Oliver Chang.

Oliver Chang previously worked as Sr. Principal AI/ML Satellite System Engineer at Bae Systems, Inc. and Senior AI/ML Satellite System Engineer at Bae Systems, Inc.. Oliver Chang holds Master Of Science - Ms, Information And Data Science from University Of California, Berkeley.

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Email format at BAE Systems, Inc.

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{first}.{last}@projectcanary.com
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AeroLeads found 1 current-domain work email signal for Oliver Chang. Compare company email patterns before reaching out.

Profile bio

About Oliver Chang

Oliver Chang is a Sr. Principal AI and ML Software Engineer at BAE Systems, Inc.. He possess expertise in pandas, scikit learn, r, technical solution development, petrel and 21 more skills. He is proficient in Chinese and English.

Listed skills include Pandas, Scikit Learn, R, Technical Solution Development, and 22 others.

Current workplace

Oliver Chang's current company

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BAE Systems, Inc.
Bae Systems, Inc.
Sr. Principal AI and ML Software Engineer
Website
AeroLeads page
6 roles

Oliver Chang work experience

A career timeline built from the work history available for this profile.

Sr. Principal Ai/Ml Satellite System Engineer

Falls Church, Virginia, Us

Senior Ai/Ml Satellite System Engineer

Falls Church, Virginia, Us

● Reinforcement learning solutions for satellite autonomy, constellation management, and tasking optimization.● Deep learning solution for physical simulation (FNO, PINN, GNN).● AI/ML solutions for detector self-tuning and optimization.● Advanced computer vision solutions and image processing.● Physics-based spacecraft dynamics modeling. ● Large Language Model (LLM) application.

Jan 2023 - Jul 2024

Data Scientist

Denver, Colorado, Us

● Green-house gas emission geospatial and time-series modeling.● Physics-informed neural network (PINN) atmospheric modeling.● ML model development and deployment.

May 2022 - Jan 2023

Data Science Engineer (Yield And Integration)

Santa Clara, California, Us

● Computer vision solutions to identify and classify defects on wafers at scale usingYOLO, CNN, and Autoencoder.● Wafer image processing workflows using Fourier transformation, wavelet transformation,and Gaussian mixture model.

Dec 2021 - May 2022

Lead Machine Learning Engineer

San Ramon, Ca, Us

● Developed machine learning solutions to enhance reservoir surveillance efficiency by 100+ times (est. 1MM USD saved). ● Collaborated with national labs and developed time-series solutions to forecast daily oil production from 1000+ wells.● Developed data-driven methods that generated and visualized drainage areas for 200+ wells and increased the speed by 10+ times. ● Used pressure transient, rate transient, and reservoir simulation techniques to dynamically characterize multiple types of reservoirs and wells, including deep-water, horizontal wells, unconventional, heavy oil, and naturally-fractured systems (est. value created from 200k to 2MM+ USD per project). ● Built geospatial data visualization and reporting solutions using Power BI and ArcGIS for the business units. The solution enhanced the efficiency of business workflow by 3+ times faster. ● Led technical training events and enhanced digital/engineering capabilities of the team. ● Facilitate digital transformation in the company as a digital translator (persons with both engineering and data analytics skills). ● Mentored interns and junior employees and helped them grow technical capabilities.

Jul 2016 - Dec 2021
Team & coworkers

Colleagues at BAE Systems, Inc.

Other employees you can reach at baesystems.com. View company contacts →

3 education records

Oliver Chang education

Master Of Science - Ms, Information And Data Science

University Of California, Berkeley

Doctor Of Philosophy - Phd, Petroleum And Natural Gas Engineering

Penn State University

Bachelor Of Science - Bs, Geological And Earth Sciences/Geosciences

National Taiwan University
FAQ

Frequently asked questions about Oliver Chang

Quick answers generated from the profile data available on this page.

What company does Oliver Chang work for?

Oliver Chang works for BAE Systems, Inc..

What is Oliver Chang's role at BAE Systems, Inc.?

Oliver Chang is listed as Sr. Principal AI and ML Software Engineer at BAE Systems, Inc..

What is Oliver Chang's email address?

AeroLeads has found 1 work email signal at @projectcanary.com for Oliver Chang at BAE Systems, Inc..

Where is Oliver Chang based?

Oliver Chang is based in Denver, Colorado, United States while working with BAE Systems, Inc..

What companies has Oliver Chang worked for?

Oliver Chang has worked for Bae Systems, Inc., Project Canary, Intel Corporation, and Chevron.

Who are Oliver Chang's colleagues at BAE Systems, Inc.?

Oliver Chang's colleagues at BAE Systems, Inc. include Neil Murchison - Beng, Nebosh, Lauren Rickard, Christian Richards, Michael Green, and George Cornwell.

How can I contact Oliver Chang?

You can use AeroLeads to view verified contact signals for Oliver Chang at BAE Systems, Inc., including work email, phone, and LinkedIn data when available.

What schools did Oliver Chang attend?

Oliver Chang holds Master Of Science - Ms, Information And Data Science from University Of California, Berkeley.

What skills is Oliver Chang known for?

Oliver Chang is listed with skills including Pandas, Scikit Learn, R, Technical Solution Development, Petrel, Data Science, Data Engineering, and Reservoir Simulation.

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