Alexei Korolev
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f^(ξ)=f(x)e2πixξdx\hat{f}(\xi) = \int_{-\infty}^{\infty} f(x) e^{-2\pi i x \xi} \, dx
0ex2dx=π2\int_0^\infty e^{-x^2} dx = \frac{\sqrt{\pi}}{2}
f(x)=1σ2πe(xμ)22σ2f(x) = \frac{1}{\sigma \sqrt{2\pi}} e^{-\frac{(x - \mu)^2}{2\sigma^2}}
// Simple quicksort implementation
function quickSort(arr) {
    if (arr.length <= 1) return arr;
    
    const pivot = arr[0];
    const left = arr.filter((x, i) => i > 0 && x < pivot);
    const right = arr.filter(x => x >= pivot);
    
    return [...quickSort(left), pivot, ...quickSort(right)];
}
// Binary search implementation
function binarySearch(arr, target) {
    let left = 0;
    let right = arr.length - 1;
    
    while (left <= right) {
        const mid = Math.floor((left + right) / 2);
        if (arr[mid] === target) return mid;
        if (arr[mid] < target) left = mid + 1;
        else right = mid - 1;
    }
    return -1;
}
0ex2dx=π2\int_0^\infty e^{-x^2} dx = \frac{\sqrt{\pi}}{2}
E[X]=xf(x)dxE[X] = \int_{-\infty}^{\infty} x f(x) dx
// Binary search implementation
function binarySearch(arr, target) {
    let left = 0;
    let right = arr.length - 1;
    
    while (left <= right) {
        const mid = Math.floor((left + right) / 2);
        if (arr[mid] === target) return mid;
        if (arr[mid] < target) left = mid + 1;
        else right = mid - 1;
    }
    return -1;
}
// Binary search implementation
function binarySearch(arr, target) {
    let left = 0;
    let right = arr.length - 1;
    
    while (left <= right) {
        const mid = Math.floor((left + right) / 2);
        if (arr[mid] === target) return mid;
        if (arr[mid] < target) left = mid + 1;
        else right = mid - 1;
    }
    return -1;
}
Profile

Hi, nice to meet you! 👋

I'm a Computer Science student at Princeton University minoring in Statistics & Machine Learning. I build cool things.

Tech Stack

PythonJavaScriptReactNode.jsAWSTensorFlowSQLDocker

Recent Experiences

Data Science Intern

Lycoming EnginesFeb 2025 - Present
PythonMachine LearningForecasting

Data Science Intern

Lycoming Engines

Feb 2025 - Present

Developed machine learning models to predict engine failures. Built predictive engine behavior models using signal processing, mathematics, and physics.

Technologies & Skills

PythonData AnalysisSQLData PreprocessingFeature ExtractionPredictive PhysicsForecastingSciKit-LearnTensorflow

Data Science Intern

WIT SportsJan 2025 - Feb 2025
PythonNodeJSSQL

Data Science Intern

WIT Sports

Jan 2025 - Feb 2025

Revamped Fan AI, an algorithm that predicts how engaged a fan is with their sports team. Augmented the feature engineering process and built an in-house comprehensive database of zipcode prosperity scores in the US.

Technologies & Skills

PythonData AnalysisSQLDatabase DesignWeb ScrapingAI RankingProbability

Software Engineering Intern

OrgoSummers 2023, 2024
ReactFirebaseMachine Learning

Software Engineering Intern

Orgo

Summers 2023, 2024

Created a new customer invites system, boosting user acquisition by up to 25-50% using React and Firebase. Added the infrastructure necessary for an "import from Google" feature.

Technologies & Skills

React-NativeFirebaseMachine LearningData PipelinesGoogle Cloud FunctionsGoogle APIs

Data Research Intern

Princeton UniversitySummer 2024
CPythonSimulation

Data Research Intern

Princeton University

Summer 2024

Designed large-data simulations through the Princeton Computing Cluster to conduct quantitative research. Designed and tested a Python program for calculating and visualizing molecular tension, yielding an accurate way to quantify induced simulation tension on chromatin.

Technologies & Skills

CPythonData AnalysisData VisualizationSimulationQuantitative ResearchPhysics

App Developer Intern

Huntington Breast Cancer Action CoalitionSummer 2023
Android StudioJavaHive

App Developer Intern

Huntington Breast Cancer Action Coalition

Summer 2023

Created a lifestyle-watching app that helps prevent up to 40% of cancer cases through habit-changing. Designed a backend storage system through Hive. Assisted the front-end team with animation design.

Technologies & Skills

Android StudioJavaHiveData StorageUI Design

Game Developer Intern

BTU GamesNov 2022 - May 2023
C++Unreal EngineOAuth 2.0

Game Developer Intern

BTU Games

Nov 2022 - May 2023

Designed C++ backend code in Unreal engine that integrated the OAuth 2.0 plugin for multi-platform login capabilities. Created and implemented the character movement framework to interact seamlessly with a soft-body physics engine.

Technologies & Skills

C++Unreal EngineOAuth 2.0LyraSoft-Body PhysicsGame Design

Programming Instructor

Code NinjasNov 2022 - May 2023
PythonEducation

Programming Instructor

Code Ninjas

Nov 2022 - May 2023

Taught computer science and mathematics concepts in understandable ways (ex. 2D array representation, motion physics, etc.) Was called "Mister" for the first time.

Technologies & Skills

PythonEducationCurriculum DesignLesson PlanningStudent EngagementClassroom Management

AI Researcher

Rutgers Unviersity - GSETSummer 2022
MATLABPythonMachine Learning

AI Researcher

Rutgers Unviersity - GSET

Summer 2022

Co-authored an IEEE research paper investigating a novel AI application in mobile device security. Led the AI model development of the project, engineering models that achieved >92.5% accuracy without overfitting. Designed a MATLAB program to extrapolate unique statistical properties of structure-borne sound recordings.

Technologies & Skills

MATLABPythonMachine LearningSignal ProcessingResearchFeature EngineeringStructure-borne Sound

Featured Projects

IEEE AI Research Paper

Coauthored a research paper on AI and a novel method for biometric identification. Presented at the MIT Undergraduate Research Technology Conference.

MATLABPythonMachine LearningSignal ProcessingResearch

Phonetic Sentiment Model

Demonstrated that English encodes sentiment within the phonetic pronunciation of words, a proof of concept for a lightweight NLP smart-sentiment model.

PythonNLPMachine LearningResearchData Analysis

Forecasting Starcraft II Victories

Used LSTM neural networks to predict Starcraft II match outcomes with 92% accuracy, beating past research by almost 10%.

PythonRNNsMachine LearningData Wrangling

Homogenous Gas Simulation Engine

Designed an optimized C++ homogenous gas engine, beating a Python-based one by 1000% in speed. Modeled accurate particle collisions and derived the Boltzman Distribution via sim.

C++PythonSimulationOptimizationPhysics

This Profile

Designed an animated react profile without templates. Let my love for coffee and clean design shine through.

ReactJavaScriptCSSDesign

Leadership

Making an Impact

Beyond my technical work, I am active on campus in various leadership roles. Here is some of the work I've been doing.

Head of Software and Computer Vision

Princeton Autonomous Vehicle Engineering (PAVE)2023 - Present

Promoted to Head of Software / Computer Vision, and currently designing a low-cost autonomous vehicle platform.

  • Managed a team of 15 motivated students
  • Designed and trained object detection and image segmentation models
  • Led the design of a steering solution algorithm from sensory data
  • Led the design of a virtual pilot simulation
  • Planned and guided a subteam to create an ultrasonic dot cloud sensor
  • Provided mentorship, guidance, and planning

Head of Partnerships

TigerLaunch2023 - Present

Two-year partnerships officer @ TigerLaunch, the world’s largest student-run entrepreneurship competition.

  • Led a team of 6 and helped secure >$90K in sponsorship funds for the 2024-2025 season.
  • Built a robust desktop app that web-scrapes Princeton alumni contacts, increasing outreach output by at least 7x.
  • Opened a new regional competition in Istanbul, Turkie, partnering with Turkie’s largest Venture Capital organization.