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eeftychiou/README.md

Eftychios Eftychiou, MSc

LinkedIn Email Location MSc CS JOAS 2026

Machine Learning Practitioner & Systems Architect
Building Autonomous Agentic Systems, Scientific Machine Learning & Safety-Critical Architectures
Brussels, Belgium & Nicosia, Cyprus


🔭 About & Technical Focus

I am a computer scientist and machine learning specialist working at the intersection of autonomous agentic architectures, scientific deep learning, and safety-critical distributed systems.

Holding an M.S. in Computer Science (Computational Perception and Machine Learning) from the Georgia Institute of Technology and a B.S. in Electrical and Computer Engineering from Hofstra University, my work bridges rigorous mathematical foundations with production software craftsmanship. Alongside software development, my background includes 16+ years working within complex European safety-critical systems and technical regulatory oversight—instilling an engineering philosophy centered on algorithmic precision, test-driven validation, and verifiable system resilience.

Core Areas of Exploration:

  • Autonomous Agents & Tool Ecosystems: Composable agent frameworks, adaptive execution gates, dynamic multi-tier model routing (fast, smart, reasoning), and sandboxed tool execution via the Model Context Protocol (MCP).
  • Frontier LLM Orchestration & Evaluation Benchmarks: Vendor-neutral multi-provider pipelines, automated quantitative evaluation gates (0–100 scorecards), semantic intent routing, and sliding-window rate-limiting guardrails.
  • Physics-Informed Machine Learning (PINNs): Integrating physical principles (aerodynamics, atmospheric thermodynamics) into deep learning loss functions and gradient-boosted trees for high-stakes modeling.
  • Safety-Critical Distributed Networks: Peer-to-peer event coordination, distributed slot allocation algorithms, and immutable audit telemetry with zero single points of failure.
  • Regulatory Knowledge Retrieval & Policy Analytics: Domain-specific RAG indexing dense statutory corpora (e.g., EUR-Lex) and interactive simulation platforms modeling the economic dynamics of European environmental policies.

🚀 Featured Architectures & Open-Source Projects

🤖 Autonomous Agents & LLM Systems

  • AeroDeckAgentic AI & Autonomous Systems Framework
    A domain-agnostic agent execution framework built for Google Antigravity. Features an Adaptive Execution Gate dynamically switching between rapid single-turn execution and peer-reviewed multi-subagent pipelines, a resilient multi-provider router integrated with the Hermes model catalog, and custom MCP servers for browser automation and workspace tooling. Validated with a 5-tier QA pyramid including 31 RFC 6455 WebSocket framing tests and 21 security audit suites.
    TypeScript Node.js Model Context Protocol RFC 6455 WebSockets Jest

  • PressHubEnterprise AI Co-Pilot & Multi-Provider LLM Engine
    An enterprise AI orchestration engine integrating frontier foundation models with multimodal generation. Features an automated 0–100 readiness evaluation gate quantitatively scoring drafts against structured rubrics before promotion, a unified Provider Store with strict precedence resolution, semantic classification routing, and per-user sliding-window rate-limiting guardrails.
    PHP 8.2+ TypeScript Multi-Provider LLM APIs PHPUnit (73 suites) Jest WP-Cron

  • logosAIModern Greek Neural Speech Synthesis
    Deep learning text-to-speech (TTS) engine and processing pipeline engineered for natural Greek language phonetics and expressive prosody.
    TypeScript Neural Audio Synthesis NLP


✈️ Safety-Critical Aviation & Geospatial Systems

  • PRCXGBoostPhysics-Informed Neural Networks & Flight Telemetry ML
    Scientific machine learning pipeline combining Physics-Informed Neural Networks (PINN in PyTorch Lightning) with XGBoost, METAR atmospheric parsing, and BADA aerodynamics for aircraft fuel consumption prediction (^2 = 0.961$, RMSE = 204.6 kg). Peer-reviewed and published in the Journal of Open Aviation Science (2026).
    PyTorch Lightning PINNs XGBoost Aviation Telemetry Scikit-Learn

  • ddfn_v2Decentralized Air Traffic Flow Management Network
    A decentralized, peer-to-peer drop-in alternative for centralized air traffic flow management. Utilizes a distributed pub/sub SWIM network to coordinate traffic flows, compute CASA delay allocations, and renegotiate 4D flight trajectories with immutable SQLite audit logging.
    Python FastAPI WebSockets Pydantic v2 Distributed Systems

  • AIXM-ParserAeronautical Information Exchange Model Parser & Visualizer
    High-performance Python library and interactive browser tool for parsing AIXM 4.5 XML datasets, extracting complex airspace geometry, and rendering interactive aeronautical map overlays.
    Python GIS / Geospatial XML Parsing Aviation Data

  • AirConnectivityGraph-Theoretic Air Transport Network Topology
    Network graph analytics computing air connectivity indicators using PageRank algorithms and onwards network connectivity metrics across flight network topologies.
    Python NetworkX Graph Algorithms Data Science


⚖️ Regulatory Modeling & Domain-Specific RAG

  • llama-eurlexEU Law Legal RAG Assistant
    Domain-specific legal tech assistant indexing European Union legislative corpora (EUR-Lex). Integrates live SOAP/WSDL webservices with LlamaIndex and local HuggingFace transformers for automated query-driven statutory cross-referencing and compliance verification.
    Python LlamaIndex EUR-Lex SOAP/WSDL Transformers Vector Stores

  • FuelCostEU Decarbonization Policy Simulation Platform
    Interactive analytics platform modeling the multi-variable economic and operational impacts of European environmental policy packages (Fit for 55, SAF blending mandates, ETD fuel taxation, and EU ETS carbon compliance mechanisms).
    Python Dash / Plotly Policy Analytics Regulatory Modeling


🛠️ Technical Stack & Toolchain

ext Languages: Python, TypeScript, PHP, SQL, Shell, C/C++ Machine Learning: PyTorch Lightning, XGBoost, Scikit-Learn, LlamaIndex, HuggingFace Transformers Agentic & LLM: Model Context Protocol (MCP), Multi-Provider API Orchestration, Evaluation Rubrics Distributed & Web: FastAPI, Node.js, WebSockets (RFC 6455), SQLite, Pydantic v2, REST / SOAP Engineering: Test-Driven Development (TDD), Docker, GitHub Actions CI/CD, Linux


🏛️ Education & Background

  • M.S. in Computer Science (Computational Perception and Machine Learning Specialization)Georgia Institute of Technology
  • B.S. in Electrical and Computer EngineeringHofstra University
  • 16+ Years in Complex Systems & Safety Governance: Extensive background bridging advanced software engineering with international and European safety-critical systems, technical standards, and institutional regulatory oversight across aviation (Eurocontrol, EASA) and aerospace security (Galileo SAB).

📬 Connect & Collaborate

Pinned Loading

  1. AeroDeck AeroDeck Public

    AeroDeck is a complete, ground-up general-purpose framework for agentic workflows. It is built on top of a set of composable skills and initial instructions that ensure your agent acts systematical…

    TypeScript

  2. ddfn_v2 ddfn_v2 Public

    This system is a truly decentralized, drop-in replacement for traditional centralized Air Traffic Flow Management (ATFM) systems (like the Eurocontrol NM). It utilizes a peer-to-peer pub/sub SWIM n…

    Python

  3. PRCXGBoost PRCXGBoost Public

    Physics-Informed Neural Networks (PINN in PyTorch Lightning) & XGBoost pipeline for aircraft fuel prediction. Research published in the Journal of Open Aviation Science (2026).

    HTML 1

  4. FuelCost FuelCost Public

    Interactive analytics platform modeling the impact of EU Fit for 55 regulatory package (SAF mandates, ETD fuel taxation, EU ETS allowances) on aviation.

    Python

  5. llama-eurlex llama-eurlex Public

    Legal RAG Assistant indexing EU legislation via EUR-Lex SOAP/WSDL webservices, LlamaIndex, and local transformers for automated regulatory compliance.

    Python

  6. presshub presshub Public

    Enterprise AI Co-Pilot & Multi-Provider LLM Orchestration Engine with Automated 0–100 Readiness Gates, Sliding-Window Rate Limiting, and Deep-Research.

    PHP