Vadim Egorov

Software Engineer

I build web products and machine learning systems. Software engineer and M.S. student in AI.

SoftwareProductWeb AppsBackendMachine LearningResearchAI ToolsData SystemsAutomationmacOS Apps

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Vadim Egorov Headshot
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I'm a software engineer currently pursuing an M.S. in Artificial Intelligence, Data Science, and Engineering at the University of Alaska Anchorage.

My work spans product development, business systems, and machine learning, with a focus on building software that is practical, reliable, and well designed.

Experience
Large-scale web apps, product systems, and workflow-heavy software
Focus
Web apps, ML, backend logic, and application design

Professional work focused on business systems, product logic, and large-scale web applications.

  1. Jan 2026 – Present

    Student Assistant II, Dean’s Office

    University of Alaska Anchorage, College of Engineering

    Technical projects and operations for the College of Engineering, including automation tools for repetitive admin work.

  2. Jun 2026 – Aug 2026

    Software Engineer Intern

    Flyntlok ↗

    Product telemetry, analytics infrastructure, and developer tooling, built on PostHog.

  3. Apr 2023 – Dec 2025

    Software Developer

    Flyntlok ↗

    Full-stack work on a multi-tenant dealer management platform. Led development of the Sales Project module.

  4. Aug 2021 – Dec 2022

    eLearning Technology Student Technician

    University of Alaska Anchorage

    Technical support for eLearning classrooms in the College of Engineering.

  5. May 2022 – Aug 2022

    Student Assistant C

    University of Alaska Anchorage

    Classroom support: carried out lesson plans and helped students with assignments.

application architecture backend integration structured state management workflow-heavy business logic bug fixes product analytics

Things I've built

training

M.S. Thesis

Human activity models

My M.S. thesis: models that understand everyday human activity from multimodal biosignals. Still training, details soon.

Python · Multimodal biosignals · Representation learning

Certificate Automation System

Automation

Certificate Automation

An internal tool for UAA’s Dean’s Office that turns a roster and a template into 100+ personalized certificate PDFs. Cut a ~3 hour manual batch to ~5 minutes.

Google Apps Script · JavaScript · HTML/CSS · Google Drive API

PomoFriends

Product

PomoFriends

A free Pomodoro timer with a social twist: focus solo, or with friends in shared focus rooms with a synced timer, chat, tasks, and streaks.

TypeScript · SvelteKit · Firebase · PostHog

sup4bubb4

Platform

sup4bubb4

Compiles song requests from Amelia Watson’s livestreams and syncs them with the YouTube VODs, so fans can follow the queue after the stream.

TypeScript · Svelte · Firebase · Cloud Functions · Tailwind · StreamElements API · YouTube embed

Predicting Student Learning Outcomes using EEG Correlation with Teacher/Expert Neural Activity

Research

EEG Learning Outcomes

A study design that asks whether a student’s brain-to-brain EEG correlation with the teacher can predict how much they learn.

EEG · Inter-subject correlation · Neuroscience · Study design

Tools I reach for.

Languages

Web

Data & Cloud

Machine Learning

AI Tools

Tools

Have a role or an idea? Let's talk.

If you'd like to connect, discuss a project, or just reach out, I'd be glad to hear from you. Email is the easiest way to reach me, and you can also find me on GitHub and LinkedIn.

> Pick a channel.

  • Email

    Feel free to reach out by email if you have a question, want to discuss a project, or just want to connect. I do my best to reply as soon as I can.

  • GitHub

    github.com/vadimegorov13

    You can find most of my work here, including personal projects, experiments, and open source contributions.

  • LinkedIn

    linkedin.com/in/vadimegorov13

    Connect with me on LinkedIn to learn more about my background and what I've been working on.

© 2026 Vadim Egorov

Software engineer working across product systems, web development, and machine learning.

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