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Bruno Da Silva is listed as Principal Software Engineering Manager at Microsoft, a with 10 employees, based in Greater Seattle Area, 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.
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AeroLeads found 2 current-domain work email signals for Bruno Da Silva. Compare company email patterns before reaching out.
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.
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A career timeline built from the work history available for this profile.
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.
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.
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 and predicted required steps and approval time given a description of a product release. After evaluating the impact of this tool, I interacted with managers responsible for different stages of the process. From our conversations, I concluded that there was a clear demand for another module of the system: an OLAP component that would enable non-technical users to easily analyze and make sense of the database. I designed and implemented a relational data-mining system that extracted statistical patterns over the data. I presented this system to my area manager among other potential users, and (as far as I know) it was incorporated as a product by the team after I left.
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
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.
Machine learning and data mining suite for data analysis.
Other employees you can reach at microsoft.com. View company contacts for 10 employees →
János Gönczöl
Colleague at MicrosoftWarsaw Metropolitan Area, Poland
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PM
Pervin Meherremov
Colleague at MicrosoftBaku, Baku Ekonomic Zone, Azerbaijan
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Mckenna Robinson
Colleague at MicrosoftDenver, Colorado, United States
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PP
Penny Pan
Colleague at MicrosoftGreater Sydney Area, Australia
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Krizzialyn Dungca
Colleague at MicrosoftTarlac, Central Luzon, Philippines
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محمد احمد
Colleague at MicrosoftRiyadh, Saudi Arabia
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VW
Vina Widiani
Colleague at MicrosoftCentral Java, Indonesia
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Daniel Davsky
Colleague at MicrosoftLublin Metropolitan Area, Poland
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MJ
Manas Jena
Colleague at MicrosoftChennai, Tamil Nadu, India
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AK
Akram Khan
Colleague at MicrosoftBerasia, Madhya Pradesh, India
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Quick answers generated from the profile data available on this page.
Bruno Da Silva works for Microsoft.
Bruno Da Silva is listed as Principal Software Engineering Manager at Microsoft.
AeroLeads has found 2 work email signals at @microsoft.com for Bruno Da Silva at Microsoft.
Bruno Da Silva is based in Greater Seattle Area, United States while working with Microsoft.
Bruno Da Silva has worked for Microsoft, Teradici, Unversity Of British Columbia, University Of British Columbia, and Addlabs.
Bruno Da Silva's colleagues at Microsoft include János Gönczöl, Pervin Meherremov, Mckenna Robinson, Penny Pan, and Krizzialyn Dungca.
You can use AeroLeads to view verified contact signals for Bruno Da Silva at Microsoft, including work email, phone, and LinkedIn data when available.
Bruno Da Silva holds Masters, Computer Science from The University Of British Columbia.
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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