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Bruno Da Silva Email & Phone Number

Principal Software Engineering Manager at Microsoft
Location: Greater Seattle Area, United States, United States 10 work roles 2 schools
2 work emails found @microsoft.com LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 2 work emails

Work email b****@microsoft.com
LinkedIn Profile matched
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Current company
Role
Principal Software Engineering Manager
Location
Greater Seattle Area, United States, United States
Company size

Who is Bruno Da Silva? Overview

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Quick answer

Bruno Da Silva is listed as Principal Software Engineering Manager at Microsoft, a company with 10 employees, based in Greater Seattle Area, United States, United States. AeroLeads shows a work email signal at microsoft.com and a matched LinkedIn profile for Bruno Da Silva.

Bruno Da Silva previously worked as Principal Software Engineer at Microsoft and Senior Software Engineer at Microsoft. Bruno Da Silva holds Masters, Computer Science from The University Of British Columbia.

Company email context

Email format at Microsoft

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*@microsoft.com
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AeroLeads found 2 current-domain work email signals for Bruno Da Silva. Compare company email patterns before reaching out.

Profile bio

About Bruno Da Silva

I have a passion for good software design and data analytics. My objective is to solve technical challenges to improve people's lives through software.

Listed skills include Machine Learning, Algorithms, Computer Science, Artificial Intelligence, and 12 others.

Current workplace

Bruno Da Silva's current company

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Microsoft
Microsoft
Principal Software Engineering Manager
Redmond, WA
Website
Employees
10
AeroLeads page
10 roles · 24 years

Bruno Da Silva work experience

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

Principal Software Engineering Manager

Current

Redmond, Washington, US

Engineering Manager with a focus on software design and architecture excellence, acute business and product understanding, and priming for effective team and organizational execution and career growth/talent development.

Aug 2024 - Present

Principal Software Engineer

Redmond, Washington, US

Mar 2023 - Aug 2024

Senior Software Engineer

Redmond, Washington, US

Azure analytics

Mar 2019 - Apr 2023

Senior Software Engineer

Redmond, Washington, US

Azure Analytics

Aug 2016 - Mar 2019

Software Engineer 2

Redmond, Washington, US

Software engineering, Skype division.

Sep 2014 - Aug 2016

Software Engineer

Palo Alto, California, US

  • I worked on a cloud-based desktop-as-a-service project. I was part of a generalist team responsible for a web service that validates and manages user sessions. Some of my work highlights include:
  • Collaborated with teammates to identify key stages of user connection use cases
  • Investigated and implemented optimizations that improved connection performance by 50% on average.
  • Autonomously identified components with poor code coverage, and designed unit and component testing for multiple platforms and architectures.
  • Autonomously proposed new dogfooding strategy for my product, when I negotiated with quality engineers and managers to schedule periodic service updates to maximize in-house bug detection.
  • Represented my product and team in a cross-team effort to refactor vital product components into a single code base that minimized redundancy across different products/platforms, and maximized code and component reuse.
Jul 2013 - Sep 2014

Software Engineering Intern

Redmond, Washington, US

  • I worked in the Engineering Excellence division, with a group focused on optimizing the release of Microsoft products. In the first half of my internship, I created a statistical library that modelled historical data.
May 2013 - Jul 2013

Phd Student

Vancouver, British Columbia, CA

Deep learning and reinforcement learning. Developed new algorithms to incorporate sparse autoencoders into reinforcement learning problems, therefore combining unlabelled data with reinforcement signals

Sep 2010 - Jul 2013

Msc Student

University Of British Columbia

Machine learning: reinforcement learning and function approximation using neural networks. Developed new methods for transfer of knowledge between learning algorithms to speed up learning process.

Sep 2008 - Aug 2010

System Analyst/Researcher

Addlabs

Machine learning and data mining suite for data analysis.

2002 - 2008 ~6 yrs
Team & coworkers

Colleagues at Microsoft

Other employees you can reach at microsoft.com. View company contacts for 10 employees →

2 education records

Bruno Da Silva education

Masters, Computer Science

The University Of British Columbia

Bachelor Of Science (B.S.), Master Of Science (Msc), Computer Science

Universidade Federal Fluminense
FAQ

Frequently asked questions about Bruno Da Silva

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

What company does Bruno Da Silva work for?

Bruno Da Silva works for Microsoft.

What is Bruno Da Silva's role at Microsoft?

Bruno Da Silva is listed as Principal Software Engineering Manager at Microsoft.

What is Bruno Da Silva's email address?

AeroLeads has found 2 work email signals at @microsoft.com for Bruno Da Silva at Microsoft.

Where is Bruno Da Silva based?

Bruno Da Silva is based in Greater Seattle Area, United States, United States while working with Microsoft.

What companies has Bruno Da Silva worked for?

Bruno Da Silva has worked for Microsoft, Teradici, Unversity Of British Columbia, University Of British Columbia, and Addlabs.

Who are Bruno Da Silva's colleagues at Microsoft?

Bruno Da Silva's colleagues at Microsoft include Selene Valdez, Timarra Smith, Vijaya Bhargavi, Soumya Sharma, and Matthias Quapil.

How can I contact Bruno Da Silva?

You can use AeroLeads to view verified contact signals for Bruno Da Silva at Microsoft, including work email, phone, and LinkedIn data when available.

What schools did Bruno Da Silva attend?

Bruno Da Silva holds Masters, Computer Science from The University Of British Columbia.

What skills is Bruno Da Silva known for?

Bruno Da Silva is listed with skills including Machine Learning, Algorithms, Computer Science, Artificial Intelligence, C++, Java, Software Design, and C#.

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