https://dream.weekday.works/redirectToHiringCopilotExtension/

• iOS development on the LinkedIn Messaging team with a focus on video meetings and premium messaging features

Tiger Global Management

Bessemer Venture Partners

McGraw-Hill

Goldman Sachs

SAP Ventures

Bain Capital Ventures

Sequoia Capital

Greylock

Sapphire Ventures

Rocket Internet

Dipchand Nishar

NSRCEL

Glynn Capital

China Broadband Capital

EchoVC Partners

2020 Ventures

Juvo Capital

Kaplan Group Investments

Lexus Capital

Edventure Holdings

Princeton Ventures

Global Founders Capital

Digital Economy Ventures

ARC InterCapital

XNode

Moonshots Capital

Ravensbridge Capital

Sprout Capital Partners

DG Ventures

Venture Guides

Rhombuz

Harmony Venture Partners

Stock Capital Banker

Liso Venture

Human Capital Development

Platform offering digital marketing solutions for enterprises. It allows users to create profiles and connect to each other. The company provides a linkedin recruiter which helps companies post jobs and leverage the platform talent pool for sourcing. It also offers an online publishing platform for users to publish their content. It generates revenue by offering talent solutions, marketing, and premium membership. The application is available for Android and iOS users.

Platform offering digital marketing solutions for enterprises

• Led the iOS development of an auto-suggest search feature to improve the speed and relevancy of conversation retrieval for LinkedIn Messaging. Feature was successfully shipped to production and contributes positively to user engagement on the messenger tab
• Rebuilt the messaging tab’s search architecture on iOS, transitioning it from a monolithic state to a modularized one

• Improved the iOS client’s Siri integration by adding support for new in-app actions (i.e. opening specific notes, notebooks, and workspaces) to be executed with Siri on both the iPhone and Apple Watch. Improvements were successfully shipped to production
• Built the foundation of Evernote’s Siri Shortcut framework, allowing users to create/manage custom Siri voice commands

Nihon Keizai Shimbun

M8 Capital

T. Rowe Price

AGC Equity Partners

Meritech

Harbor Pacific Capital

Allen & Company

Morgenthaler

DOCOMO Innovations

Sberbank CIB

Troika Dialog

Docomo Capital

Sood Ventures

New Enterprise Associates

AME Cloud Ventures

Morado Ventures

Hercules Capital

Socialatom Group

Canvas Ventures

Hammerstone Capital

Kortschak Investments

Eastlink Capital

Frees Fund

Salesforce Ventures

NewView Capital

Provider of a note-taking app for individuals and enterprises. It allows users to capture, organize, and find information across multiple platforms. It also allows users to take notes, clip web pages, add photos using their mobile phones, create to-dos, and record audio. All data is synchronized with its web service and made available to clients on Windows, Mac, Web, and mobile devices. It has added an improved presentation mode and a feature that suggests relevant content from other parts of the web.

Provider of a note-taking app for individuals and enterprises

• Developed a semantic network of scientific study metadata for a neuroscience research consortium. This network forms the underlying knowledge graph of a tool used to intelligently generate parts of scientific papers
• Constructed a Java web application to validate the study and patient metadata to be uploaded to the semantic network

• Led development of an iOS application used to manage/control groups of electrical-muscle-stimulation suits over a UDP connection
• Increased efficiency of a biosensor medical device by transitioning it from a single-threaded state to a multithreaded real time operating system (C/C++)
• Added low pass filtering to improve the accuracy of the heart rate detection algorithm for an embedded medical device (C/C++)
• Converted an embedded medical device’s transdermal fluorescence signal processing and filtering libraries from C++ to C

• Created/ran manual and automatic (Python-based) tests for a medical imaging workstation, customer UI, and internal UI
• Used python scripts to parse through XML metadata for the patient-case repository 
• Drafted V&V requirements for a medical device designed to build patient-specific 3D models of blood flow in the coronary arteries
• Helped develop Microsoft Access database to track data for 90+ clinical trials

software engineer

Ryan Espiritu