Vadim Dagman

Implemented Virtual Web Cam for the Mac desktop that inserted itself into the camera pipeline and allowed adding various post-processing effects on the fly for video conferencing applications such as Skype and Zoom.

I contributed to an iOS app that communicates with a medical device over Bluetooth. The device is worn by the user as therapy. The app continuously collects sensor data, sends it to the cloud for analysis, and displays healing progress.

A macOS app that uses computer vision to analyze video coming from a 3D camera (attached to the user's head) and detect motion and gestures of the hand positioned in front of the screen. The app enables the user to interact with the screen using their hand emulating a touchscreen. I used machine learning models for gesture recognition and OpenCV for motion tracking.

An iOS app that provides an intuitive UI for placing virtual furniture objects on floors/walls and ceilings. It uses an accelerometer to navigate through 3D models of rooms and walkways and gesture controls to attach the furniture to surfaces of the space.

A personal finance app with a very sleek UI. I developed the most essential components for the app to support complex user interactions and fluid animations and transitions. I helped prepare and file the app and was listed as co-inventor on the patent application for Vimvest's unique approach to personal financing.

A MacOS/iOS app combo that allows the user to navigate through a 180/360-degree video rendered on Mac by rotating an iPhone connected to Mac computer wirelessly, imitating rotation of the user's head. The video coming from the 180- or 360-degree camera is rendered on a curved 3D surface using SceneKit so that it looks as if you are looking around with your head in a real world.

An iOS app that enables the user to virtually "paint" a wall in their house by viewing through the iPhone camera how the wall would look like if it's painted with a chosen color. Uses ARKit to detect walls in the video feed coming from the camera and attach a virtual color swatch over the real wall taking into account lighting and other factors to make it look realistic. Used metal shaders for high performance rendering while performing complex calculations on every pixel to make the colors "mix" properly.

Snakt is like video legos: Every video you see can be re-utilized in your own posts. Including the millions of GIFs, Vines, and posts by your favorite creators and stars. Developed by me from scratch, the app offers a wide variety of sleek animations and gesture controls. Takes full advantage of AVFoundation for efficient and elaborate video editing right on the device.

An iPad app that helps poll workers keep track of registered voters. Involves processing of a massive amount of records, peer-to-peer synchronization between multiple iPads within the polling place, continuous synchronization with the back-end, scanning of licenses, printing of receipts on a portable printer, and many other futures. Fully customizable for any county, including the look and feel and accommodating different voting/registration rules. The app has been widely deployed all over the US and has processed millions of voter records to date.

Kasper connects students of the same university to help them plan events, exchange information about their area of interest, and trade learning courses, complete with real-time chat and messaging.

Built from scratch for one of Toptal's clients. Helps people track their health choices and watch their calorie intake.

This is an underwater adventure game.

This casual cow tipping game has become the #1 free game on the App Store, with over 15 million downloads.

I hold seven US patents.

US 6,297,800: Performing color adjustments on image data.
US 8,218,941: Method and system to transfer video from a video source to optical media.
US 8,220,027: Method and system to convert conventional storage to an audio/video server.
US 7,934,239 & 8,464,298: Method and system to daisy-chain access to video resources.
US 8,386,316: Method and system to grant remote access to video resources
US 8,376,853: Hand held self-orientating targeting game.

As a lead iOS developer, I have implemented most of the app's features from the ground up, including cool visual effects using Core Image and Metal. Almost single-handedly developed a full-fledged non-linear video editor as one of the app features, allowing stitching video and photos together on a single timeline, adding effects, captions, music, and voice-over. Extensively used AVFoundation for real-time preview and export to camera roll.

As iOS platform lead, I worked on the core features of the ARSDK for iOS alongside two more iOS developers. The ARSDK was integrated across all Yahoo apps: News, Mail, Fantasy, Sports, etc., and was responsible for delivering and rendering immersive augmented reality ads on various surfaces of the apps. I used RealityKit, Scene Kit, and Metal shading language extensively.

Later on, played a core key in migrating core Yahoo SDKs, such as monetization and privacy, as well as Identity SDK from Objective-C to Swift. This involved a lot of refactoring of the core architecture, such as migrating to MVVM patterns and dependency injection, comprehensive unit test coverage, and extensive use of Swift Package Manager.

A fantasy football app with unique Pokémon-like gaming features, beautiful graphics, real-time game stats updates, and more. It's available on both the Apple App Store and Google Play.

I built the entire product end-to-end: the iOS app, API server, and CRON data collection service for pulling real-time stats from the 3rd party APIs, MongoDB back end, and admin dashboard. I managed a team of Flutter engineers to point the app to Android. I used agentic coding quite extensively to build the dashboard and optimize the back end.