Skip to content
View Chris0Jeky's full-sized avatar
🎯
Focusing
🎯
Focusing
6 followers · 10 following

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

Highlights

  • Pro

Block or report Chris0Jeky

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Chris0Jeky/README.md

Cristian Tcaci

Typing SVG

Portfolio LinkedIn Email

Hi there! I'm Chris 👋

I'm a software engineer passionate about building high-impact solutions that bridge the gap between legacy systems and modern, cloud-native architecture. My journey has taken me from spearheading enterprise DevOps initiatives at GE Digital, where I automated security protocols for large-scale AWS pipelines, to the forefront of academic AI research, where I'm currently working to publish my findings on multi-agent reinforcement learning.

  • 🔭 Right now, I'm: Co-authoring a scientific paper, building automation solutions for clients at DeliveraSoft, and diving deeper into Kubernetes and Infrastructure as Code.
  • 💡 My Philosophy: Technology is a tool for solving real-world problems. I thrive on translating complex technical challenges into elegant, maintainable, and secure code.
  • 🌱 My Goal: To contribute to a passionate, forward-thinking team where I can solve challenging problems, grow my skills in distributed systems, and help build the future of software.

🚀 Featured Work & Case Studies

A framework for simulating agent behavior in N-Person Prisoner's Dilemma scenarios. My thesis work, being prepared for academic publication.

A modern education platform with a Vue.js frontend and a Node.js/Express backend, featuring real-time search and secure JWT authentication.

(Case Study) Spearheaded the integration of automated Nmap scanning into ~72 AWS CI/CD pipelines at GE Digital.

Dual-model Python suite for student performance prediction (Random Forest, 98% R²) and fake news detection (LSTM, 99.9% Accuracy).

A robust, thread-safe music library built with modern C++17, featuring advanced search, optimized data structures, and a clean API.

A vehicle rental system in C++ demonstrating core OOP principles like inheritance, polymorphism, and abstraction via UML design.

🛠️ My Technical Arsenal

Languages & Core Skills:

Frameworks, Libraries & Runtimes:

DevOps, Cloud & Databases:

📊 My GitHub Analytics


Pinned Loading

  1. CV_and_Portfolio CV_and_Portfolio Public

    This repo contains my Portfolio, which is a webpage hosted on Github Pages that connects most of my important projects and experiences.

    HTML

  2. AI-Data-Analytics-Suite-Python AI-Data-Analytics-Suite-Python Public

    A suite of AI models in Python for student performance prediction (Random Forest, 98% R²) and fake news detection (LSTM, 99.9% Accuracy).

    Jupyter Notebook 1

  3. N-person-prisoners-dilemma-simulation N-person-prisoners-dilemma-simulation Public

    A comprehensive framework for simulating, analyzing, and visualizing agent behavior in N-Person Prisoner's Dilemma scenarios.

    Python 2

  4. EduHub-API-Node-Express EduHub-API-Node-Express Public

    RESTful API service for the EduHub platform, built with Node.js, Express, and MongoDB, featuring JWT authentication and secure middleware.

    JavaScript 1

  5. EduHub-Vue-Client EduHub-Vue-Client Public

    A modern and responsive frontend for the EduHub learning platform, built with Vue.js 2 to consume a RESTful API.

    HTML 1

  6. Java-ML-Classifiers-From-Scratch Java-ML-Classifiers-From-Scratch Public

    A comprehensive library of 15+ machine learning classifiers (k-NN, SVM, MLP, etc.) implemented from scratch in pure Java for digit recognition.

    Java 1