Hello, I'm

Farcas
Antonio Matei

Software Developer & AI Researcher

Software developer currently focusing on AI research and model optimization. Experienced in building scalable full-stack applications, fine-tuning models, and contributing to open-source methodologies. Driven by complex problem-solving and technical excellence.

Antonio Matei
Available for work
AI Research

Open Source & Research Contributions

Parameter Golf Log Visualizer

A custom web-based tool I developed to parse and analyze training logs from the OpenAI Parameter Golf runs. It visualizes metric trajectories over the strict 10-minute training budget, making it easier to track BPB drops and evaluate parameter efficiency. I built this to accelerate my own architectural research, and it is open for anyone to use at farcas.dev/golf.

Launch Visualizer Source Code

My Story

Most of what I know is self-taught through personal projects across multiple domains. Below is a timeline of what I worked on and what I learned at each stage.

2026 — Present

AI Research & OpenAI Parameter Golf

My most recent and primary focus. Actively contributing to OpenAI's Parameter Golf, drafting architectural optimizations, and working on advanced model parameter research.

AI ResearchOpen SourceModel Optimization
Oct 2025 — First Professional Role

Volico Data Centers — Internship

Software Developer Intern

Volico Data Centers — Deerfield, FL, USA

My first professional role. Tasked with designing and prototyping an AI-powered voice-caller assistant for customer service.

  • Researched and gathered open-source models for sound processing, voice generation, and LLMs
  • Tested each model category separately to evaluate quality, latency, and resource usage, then selected the best candidates
  • Designed the full workflow and pipeline in Python — connecting the selected models into a single processing chain
  • Built a Flask REST API to expose the pipeline and enable testing of the end-to-end system
  • Fine-tuned models for domain-specific responses and built a RAG system so the AI could reliably pull from internal company data
  • Once the AI worked locally, integrated Twilio as the telephony provider to connect the system to real phone calls
  • Configured Linux servers with Nginx for reverse proxy and SSL termination
  • Delivered a working prototype that others can build on and improve
PythonFlask APILLM DeploymentFine-TuningRAGTwilioVoice ProcessingNginxLinux
2024 — Present

AI Development & Cross-Domain Projects

Went beyond using AI APIs to actively developing and training models. Fine-tuned open-source LLMs for specific tasks, trained image generation models to produce custom outputs, and built RAG pipelines connecting LLMs to structured data.

Model Fine-TuningImage Gen TrainingRAG SystemsPrompt EngineeringLLM Deployment
2023–2024

Cybersecurity & Bug Bounties

Participated in penetration testing and bug bounty programs. My core approach is business logic exploitation — testing endpoints, reverse-engineering the intended server-side behavior by sending different payloads, and finding ways to use legitimate functionality in unintended ways. Also worked with OWASP methodology and network reconnaissance. Specifics are under NDA.

Penetration TestingBug BountiesBusiness Logic ExploitationOWASPPayload CraftingNetwork Recon
2022–2023

Automation, Python & Server Infrastructure

Built automation scripts, web scrapers, and backend services in Python. Started managing my own Linux servers — Nginx configuration, reverse proxying, load balancing across multiple upstream servers, SSL with Let's Encrypt, and Bash deployment scripts.

PythonNginxLoad BalancingLinux AdminBashSSL / TLSWeb ScrapingBlockchain
2021–2022

Web Development & Frontend

Learned HTML, CSS, and JavaScript, then moved into responsive layouts with Tailwind CSS and DOM manipulation.

HTMLCSSJavaScriptTailwind CSSResponsive Design
2020–2021

Unity & First Real Games

First experience shipping a complete product. Learned C# scripting, component-based architecture, physics systems, and UI design in Unity. Also started using Git for version control.

Unity EngineC#Game DesignGitComponent ArchitectureShipping Products
2020 — The Beginning

Game Development from Scratch

Started by writing game logic in raw C/C++ — console-based programs, file I/O, basic data structures. Built a foundation in low-level thinking, memory management, and pointers before ever touching an engine or framework.

C / C++Memory ManagementData StructuresLow-Level Programming

Tech Stack

These are the technologies I've used across my personal projects and professional work. My core languages are highlighted below. What defines me most is contextual adaptability — I've worked across enough paradigms to pick up new tools quickly.

Core Languages 6
Python C / C++ C# JavaScript HTML CSS
Backend & APIs 4
Flask Flask-RESTful Node.js REST APIs
Frontend & UI 3
Tailwind CSS Vanilla JS / DOM Responsive Design
Server Management & DevOps 9
Linux (Ubuntu / Debian) Nginx Nginx Reverse Proxy Nginx Load Balancing Docker (Basics) CI/CD Pipelines SSL / Let's Encrypt Bash Scripting Git / GitHub
Databases 3
MySQL SQLite Database Design
AI Research & Architecture 7
Custom Architecture Design Depth Recurrence Quantization-Aware Training (QAT) TTT Architecture ETD Architecture Mixed-Precision Quantization Post-Training Quantization (PTQ)
Game Development 5
Unity Engine Unity Netcode (Multiplayer) Blender (3D Modeling) URP Shader Graph C# Game Logic
Cybersecurity 5
Penetration Testing Bug Bounty Programs Business Logic Exploitation Payload Crafting Network Reconnaissance

Hackathons & Challenges

I've participated in a total of 5 hackathons. Here are the two most notable — along with my current active competition.

Currently Competing

OpenAI Parameter Golf

OpenAI Model Craft Challenge

An open research challenge to train the best language model under extreme constraints: a strict 16MB limit for the entire artifact (weights + training code combined) and a 10-minute training budget on 8×H100 GPUs. The goal is to achieve the lowest bits per byte (BPB) on the FineWeb dataset. I am actively competing and drafting updates utilizing custom architectures, depth recurrence, and Quantization-Aware Training (QAT) to push parameter efficiency limits.

Model CompressionQATDepth Recurrence16MB ArtifactLLM Optimization
Participated — 2024

Hacking Big Numbers² (HBN²)

Organized by Veridion — Bucharest, Romania

An AI & Business Data hackathon where participants tackled real-world challenges using machine learning, large-scale datasets, and AI tools. Featured an ML tournament for industry classification, side-quests from partners like Banca Transilvania, and access to Veridion's 115M+ company database. Grand prize: €5,000.

AI & MLBig DataData ScienceBusiness Intelligence
5 Total Hackathons

Beyond the highlighted events, I've participated in 3 additional hackathons across various domains — building, competing, and learning under pressure every time. Hackathons sharpen the exact skills I value most: fast execution, creative problem-solving, and delivering under tight deadlines.

Education

2024 — Present

Computer Science

ULBS — Universitatea Lucian Blaga, Sibiu

Currently 2nd year
2019 — 2024

Mathematics & Computer Science

Colegiul National Ion Luca Caragiale, Moreni

Highschool Graduate

I Speak

🇷🇴
RomanianNative
🇬🇧
EnglishFluent

Recommendations

Below is my letter of recommendation from Volico Data Centers. You can view it directly or download the full CV as PDF.

Recommendation Letter

Download My CV

Get the short PDF version of my CV — ready for printing, sharing, or submitting through application portals.

Download PDF

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