Computer Engineer • Researcher • Builder

Ege Kaya

Computer Engineer & AI Researcher

Torino, Italy

Computer Engineering graduate from Politecnico di Torino in June and incoming M.Sc. candidate in Computer Science with an AI focus at KU Leuven. Research Assistant at Politecnico di Torino, with experience in AI systems, full-stack development, and embedded firmware engineering.

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LinkedIn GitHub

About Me

Building the future through code and curiosity

Who I Am

→Final-year Computer Engineering student at Politecnico di Torino with 27/30 GPA and Full Scholarship, incoming M.Sc. in CS (AI) at KU Leuven
→Research Assistant under IEEE Fellow and Vice Rector Prof. Paolo Montuschi at Politecnico di Torino
→Full-stack developer with experience in React, Next.js, TypeScript, AWS, Python, and AI/ML systems

What I Do

✓Build scalable web applications with modern frameworks (React, Next.js, TypeScript)
✓Develop problem-solving software for real-time applications (C++, Python)
✓Design and optimize database architectures (PostgreSQL, Supabase)
✓Contribute to open-source and research projects exploring AI and CS

M.Sc. Computer Science – AI Specialisation

KU Leuven

2026–2028

Programme Scholarship

B.Sc. Computer Engineering

Politecnico di Torino

GPA: 27/30

2023–2026

Languages

Turkish

English

Italian

27/30

GPA

Final

Year

Languages

Organizations

Projects

Interests

Computer Science

Artificial Intelligence

Software Engineering

Physics

Biology

Chemistry

Mathematics

Art

Language Learning

Current Goals

→Starting M.Sc. in Computer Science (AI) at KU Leuven
→Continuing AI research under Prof. Montuschi
→Contributing to open-source and research projects

Computer Engineer • Researcher • Builder

Ege Kaya

Computer Engineer & AI Researcher

Torino, Italy

Download Resume

LinkedIn GitHub

About Me

Building the future through code and curiosity

Who I Am

→Final-year Computer Engineering student at Politecnico di Torino with 27/30 GPA and Full Scholarship, incoming M.Sc. in CS (AI) at KU Leuven
→Research Assistant under IEEE Fellow and Vice Rector Prof. Paolo Montuschi at Politecnico di Torino
→Full-stack developer with experience in React, Next.js, TypeScript, AWS, Python, and AI/ML systems

What I Do

✓Build scalable web applications with modern frameworks (React, Next.js, TypeScript)
✓Develop problem-solving software for real-time applications (C++, Python)
✓Design and optimize database architectures (PostgreSQL, Supabase)
✓Contribute to open-source and research projects exploring AI and CS

M.Sc. Computer Science – AI Specialisation

KU Leuven

2026–2028

Programme Scholarship

B.Sc. Computer Engineering

Politecnico di Torino

GPA: 27/30

2023–2026

Languages

Turkish

English

Italian

27/30

GPA

Final

Year

Languages

Organizations

Projects

Interests

Computer Science

Artificial Intelligence

Software Engineering

Physics

Biology

Chemistry

Mathematics

Art

Language Learning

Current Goals

→Starting M.Sc. in Computer Science (AI) at KU Leuven
→Continuing AI research under Prof. Montuschi
→Contributing to open-source and research projects

Tech Stack

Technologies I work with daily

🐍

Python

☕

Java

JavaScript

TypeScript

C

C++

𝓜

MATLAB

SQL

🍎

Swift

🔵

Go

🦀

Rust

HTML

CSS

⚛️

React

▲

Next.js

🎨

Tailwind CSS

🍃

Spring Boot

🔥

PyTorch

🐘

PostgreSQL

☁️

AWS

🐳

Docker

🟢

Node.js

🔧

Git

GitHub Activity

Competitive Programming

Practicing algorithmic problem-solving on LeetCode to sharpen my technical skills.

Total Solved

problems

Success Rate

53.2%

acceptance

Difficulty

Easy

Medium

Hard

Recent Submissions

Function Composition

Easy

Accepted

Array Reduce Transformation

Easy

Accepted

LRU Cache

Medium

Accepted

View my full profile on LeetCode

Experience

Building products and contributing to innovative teams

Research Assistant – AI

Politecnico di Torino – Prof. Paolo Montuschi

2026 – Present

Designing and implementing machine learning models to analyze and predict student academic performance. Building scalable data pipelines and evaluation frameworks for large educational datasets. Designing and deploying AI-based class support systems integrated within university infrastructure.

✓ IEEE Fellow Supervisor✓ ML Models✓ Educational AI

PythonPyTorchData PipelinesML

Front-end Developer Intern

Parma Calcio 1913

Sep 2025 – Feb 2026

Built and deployed 20+ production full-stack features (React, TypeScript) used by 50+ staff, reducing operational workflow time by 50%. Integrated AWS S3, CDN delivery, and real-time data pipelines; achieved Lighthouse performance scores consistently above 95.

✓ 20+ Features Shipped✓ 50+ Users✓ Lighthouse 95+✓ 50% Time Saved

Next.jsTypeScriptAWS S3CDNCI/CD

Full-Stack & Embedded Developer

PoliTo Rocket Team

Feb 2025 – Feb 2026

Developed internal web platforms for 150+ members, automating 1,000+ daily operations and reducing administrative overhead by 95%. Implemented STM32 flight firmware in C/C++ under real-time constraints; built drivers, watchdog systems, and performed SWD debugging.

✓ 150+ Team Members✓ 95% Admin Time Saved✓ STM32 Firmware✓ SWD Debugging

Next.jsSupabaseC/C++STM32PostgreSQL

Database Developer

Team DigiTwin – PoliTo

Feb 2025 – Jul 2025

Designed and optimized PostgreSQL systems ingesting 50,000+ sensor readings/day; improved query performance by 40%. Implemented automated data pipeline processing 2GB+ of telemetry data weekly for structural monitoring.

✓ 50K+ Records/Day✓ 40% Query Improvement✓ 2GB+ Data/Week

PostgreSQLC++Data EngineeringPerformance Optimization

Projects

Crafting solutions from concept to deployment

Timber Co.

Personal Project

(WIP) Bird's-eye view strategy game where you build a timber empire from the ground up. Command workers to cut forests, process wood into refined materials, automate production chains, and scale operations. Features resource management, worker AI, and progression systems built with Java and JavaFX.

Worker Automation

Production Chains

Resource Economy

Bird's-eye View

Java

JavaFX

Game Development

Resource Management

AI Systems

CoreMetric

Open Source

(WIP) Privacy-first macOS system monitor using ML-powered anomaly detection. Unlike traditional monitors with hard-coded thresholds, CoreMetric uses a Reconstruction Autoencoder running on Apple Neural Engine to learn your usage patterns and detect subtle anomalies—memory leaks, crypto-miners, frozen processes—with <1% CPU overhead.

<1% CPU Overhead

ANE Inference

Zero Cloud Dependencies

Real-time Detection

24h Training Window

SwiftUI

CoreML

PyTorch

Metal (MPS)

IOKit

Darwin Kernel

Case Study Code

LectureLens

Open Source

(WIP) AI-powered study companion: ingest PDFs & notes → summaries, flashcards, interactive Q&A and milestone-based study schedules. Incremental AI pipeline with secure per-user isolation.

Roadmap Progress

29%

M1 Auth & ProcessingM2 Lecture DetailM3 FlashcardsM4 Q&A+3 more

Schema+RLS

Chunking Pipeline

Edge Fn Scaffold

Embeddings Ready

M1 In Progress

Next.js App Router

TypeScript

Supabase (Auth + RLS)

PostgreSQL

Edge Functions

AI Pipeline

Case Study Code Demo

GitSimulator

Open Source

Production-grade Git simulation engine: dry-run rebase, merge, reset, cherry-pick with visual commit graphs, conflict prediction (3 certainty levels), and safety analysis. Awarded 3rd Place at GitKon Game Jam 2025. 135+ tests, automated CI/CD, interactive TUI, plugin architecture. Available on PyPI: pipx install gitsimulator (v1.0.1).

🏆 GitKon 2025 3rd Place

135+ Tests

95%+ Coverage

PyPI v1.0.1

3-Level Conflict Detection

Interactive TUI

Python 3.11+

Dulwich

Rich

Typer

Textual

CI/CD

Case Study Code

This Website!

Personal Project

Modern portfolio website built with Next.js 16 and TypeScript, achieving 95+ Lighthouse score across all metrics. Implements server-side rendering, optimized image loading, and accessibility best practices (WCAG AA). Features dark mode, responsive design, and form validation with 99.9% uptime on Vercel.

95+ Lighthouse

WCAG AA

<1s Load Time

Next.js 16

React 19

TypeScript

Tailwind CSS 4

Case Study Code

Internal Web Application

Parma Calcio 1913

Architected and deployed 5+ full-stack features for Parma Calcio's internal operations platform serving 50+ staff members. Reduced data entry time by 35% through automated workflows using Next.js and CloudFront + S3, serving edge‑cached documents and training videos to enable faster teamwide communication and data sharing. Implemented responsive UI components with 95+ Lighthouse performance score.

50+ Users

35% Time Saved

95+ Lighthouse Score

CloudFront + S3

Next.js

TypeScript

PostgreSQL

Case Study

Code not publicly available

DigiTwin Database System

Team DigiTwin

Engineered high-performance database management system handling 50,000+ sensor readings per day for structural monitoring. Optimized PostgreSQL queries achieving 40% faster response times. Implemented C++ data processing pipeline with CMake for cross-platform deployment across Linux and embedded systems.

50K+ Readings/Day

40% Faster Queries

Multi-Platform

C++

PostgreSQL

CMake

Data Processing

Case Study

Code not publicly available

Discord Bot Automation

PoliTo Organization

Automated role assignment system for 200+ member university Discord server, reducing manual role management time from 2 hours/week to 5 minutes/month. Built with Discord.js and Node.js, integrated with Supabase for real-time data synchronization. Handles 1000+ role assignments with 99.9% uptime.

200+ Members

95% Time Reduction

1000+ Assignments

Discord.js

Node.js

Supabase

API Integration

Case Study Code

NIOChatServer

Open Source

Real-time WebSocket chat application built with Swift NIO for high-performance asynchronous networking. Features non-blocking I/O, concurrent connection handling, and event-driven architecture. Demonstrates modern Swift server-side development with efficient resource utilization.

Non-blocking I/O

Event-Driven

Real-time Messaging

Swift

SwiftNIO

WebSocket

Async/Await

Server-Side

Code

Notes App

Personal Project

Feature-rich desktop notes application with clean JavaFX interface for organizing and managing personal notes. Includes note categorization, search functionality, and persistent storage. Built with modern Java practices and MVC architecture.

Rich Text Editor

Category System

Search & Filter

Java

JavaFX

MVC

Desktop App

UI/UX

Code

Research & Contributions

Exploring AI, education technology, and computer architecture

Report

Co-author

Evaluating the Pedagogical and Cognitive Impacts of LLMs on Engineering Education

Conducted in collaboration with IEEE Fellow Prof. Paolo Montuschi at Politecnico di Torino. Investigated the pedagogical potential and cognitive impact of LLMs and AI agents on university-level engineering education. Analyzed student outcomes and teaching methodologies.

Artificial IntelligenceEducation TechnologyResearch

Lecture

Co-presenter

Architecture and Memory: A Deep Dive aided by Artificial Intelligence

Delivered an in-depth technical presentation exploring computer architecture and memory systems, leveraging AI tools to enhance explanation clarity and visual demonstrations. Focused on bridging theoretical concepts with practical applications.

Computer ArchitectureMemory SystemsAI-Assisted Teaching

Actively exploring research opportunities in the fields of Computer Science, AI, Architecture and more. Open to collaborations and academic partnerships.

Awards & Achievements

Some of my recent Awards and Achievements

Competition Winner

2025

3rd Place

3rd Place – GitKon Game Jam 2025

GitKraken

Awarded 3rd place at GitKon Game Jam for GitSimulator, a production-grade Git simulation engine. Recognized for innovative approach to Git visualization, educational impact, and focus on preventing costly mistakes in production environments.

View announcement →

Academic Honor

2026

70% Tuition Waiver

KU Leuven Programme Scholarship

KU Leuven

Awarded the Programme Scholarship with a 70% tuition waiver for the M.Sc. in Computer Science (Artificial Intelligence). Granted to only 10 students across the programme, recognizing academic excellence and research potential.

Academic Honor

2023–2026

Full Merit Scholarship

Politecnico di Torino

Awarded full-ride merit scholarship (90% GPA) for outstanding academic excellence in Computer Engineering. Covers complete tuition and living expenses at one of Europe's top technical universities for engineering.

Hackathon

2025

Reply Student Clash 2025 – Agentic AI Challenge

Competed in Reply's European-wide Student Clash focused on Agentic AI, joined by 700+ students from 8 top universities across Europe. Designed and scaled innovative AI Agent projects that transform business operations and empower society through autonomous, intelligent systems.

Hackathon

2025

Google Cloud Datacenter Hackathon 2025

Google Cloud × Intesa Sanpaolo × TIM

Selected for exclusive hands-on datacenter hackathon hosted by Google Cloud in Turin. Worked directly with production-grade hardware including servers, managed switches, fiber optics, and Linux systems. Competed in team-based challenges simulating real-world datacenter operations, supported by Google's datacenter engineers from Turin and Milan facilities.

Testimonials

Coming soon — pending approvals

I'm collecting approvals from collaborators and mentors. Once ready, you'll find verified testimonials here.

In the meantime, feel free to reach out.

Resume

An overview of my background and qualifications

LinkedIn Profile

Summary

Computer Engineer and incoming M.Sc. candidate in Computer Science (Artificial Intelligence) at KU Leuven. Research Assistant under Prof. Paolo Montuschi, with experience in AI systems, production-grade full-stack development, and embedded firmware engineering.

Experience

Research Assistant – AI

Politecnico di Torino – Prof. Paolo Montuschi

2026 – Present

Designing and implementing ML models to predict student academic performance. Building scalable data pipelines for educational datasets. Deploying AI-based class support systems within university infrastructure.

Front-end Developer Intern

Parma Calcio 1913

Sep 2025 – Feb 2026

Built and deployed 20+ production full-stack features used by 50+ staff, reducing operational workflow time by 50%. Integrated AWS S3, CDN delivery, and real-time data pipelines; achieved Lighthouse performance scores above 95.

Full-Stack & Embedded Developer

PoliTo Rocket Team

Feb 2025 – Feb 2026

Developed internal web platforms for 150+ members, automating 1,000+ daily operations. Implemented STM32 flight firmware in C/C++ under real-time constraints; built drivers, watchdog systems, and performed SWD debugging.

Database Developer

Team DigiTwin – PoliTo • Turin, Piedmont, Italy

Feb 2025 – Jul 2025

Designed and optimized PostgreSQL systems ingesting 50,000+ sensor readings/day; improved query performance by 40%. Implemented automated data pipelines processing 2GB+ of telemetry data weekly.

Education

M.Sc. in Computer Science – AI Specialisation

KU Leuven

2026 – 2028

Programme Scholarship (70% Tuition Waiver)

B.Sc. in Computer Engineering

Politecnico di Torino

2023 – 2026

GPA: 27/30

Full Merit Scholarship

Research Project

Evaluating the Pedagogical and Cognitive Impacts of Large Language Models on Engineering Education

Politecnico di Torino

This research paper, conducted in collaboration with IEEE Fellow Prof. Paolo Montuschi at Politecnico di Torino, investigates the pedagogical potential and cognitive impact of AI-driven teaching systems, particularly Large Language Models (LLMs) and AI agents, within the context of university-level engineering education. Co-delivered a lecture to showcase findings and discuss.

Skills

Python

C/C++

Java

TypeScript

SQL

Swift

Rust

React

Next.js

Node.js

Spring Boot

PostgreSQL

AWS

Docker

Git

PyTorch

MATLAB

Linux

Embedded Systems

STM32

CI/CD

Get in Touch

Let's build something great together

LinkedIn GitHub

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