Ioan Stelian Lungu Download CV

Ioan Stelian Lungu

AI/ML Engineer | Production ML Systems | Published Researcher

AI/ML Engineer specializing in production-ready machine learning systems for manufacturing and automotive applications. Published researcher with 3 peer-reviewed papers in ACTA TECHNICA NAPOCENSIS (2025) focusing on Graph Convolutional Networks and AI-driven vehicle systems. Proven expertise in deploying production ML models achieving 99.77% accuracy (R² = 0.9977) for real-time telemetry applications.

R² 0.9977
GCN Model Accuracy
3 Papers
Published 2025
Real-Time
ML Deployment
Ioan Stelian Lungu

Experience

Solis UTCN

Jan 2024 - Present

Cluj-Napoca

ML/AI Engineer - Telemetry & Data Systems

  • Deployed GCN achieving 99.77% accuracy for energy prediction in EVs
  • Built end-to-end data pipelines for vehicle telemetry
  • Integrated ML models with real-time systems
  • Implemented MLOps: versioning, validation, monitoring
Python PyTorch GCN/GNN Docker Linux

CARGO-PARTNER

Jul 2023 - Jan 2024

Cluj-Napoca

Data Analytics & Process Automation Intern

  • Automated document processing with Python
  • Created dashboards for logistics operations
  • Reduced manual processing time by 40%
Python Data Visualization ERP Systems

Education

Master's - Engineering and Quality Management

Technical University of Cluj-Napoca

2024 - Present

Bachelor's - Economic Engineering (Electronics)

Technical University of Cluj-Napoca

2020 - 2024

High School - Economy

Economic High School "Iulian Pop"

2016 - 2020

Projects

Facial Emotion Recognition (CNN)

Bachelor Thesis | Apr - Sep 2024

  • CNN with InceptionV3 architecture
  • Real-time inference for marketing/healthcare
Python TensorFlow OpenCV

Precision Agriculture Platform

SAS-UTCN Competition | Nov 2023

  • NASA/ESA satellite data integration
  • Google Earth Engine API
Python Jupyter Pandas GEE
View Project

Bosch Future Mobility Challenge

Nov 2022 - Mar 2023

  • Autonomous driving systems
  • Path planning algorithms
Python Computer Vision Sensor Fusion

Publications

Graphical Convolutional Networks Based Regenerative Brake Energy Prediction System for Solar-Powered Electric Vehicles

ACTA TECHNICA NAPOCENSIS, Vol 62, No 1, 2025

Results: R² = 0.9977, RMSE = 0.0367 kW Role: First Author
View Paper

AI-Driven Power Consumption Analysis for Solar Electric Vehicles

ACTA TECHNICA NAPOCENSIS, 2025

Role: Co-Author (with Alexandra Petric)
View Paper

Graph Neural Network Model for Predicting Electric Vehicle Battery Voltage

ACTA TECHNICA NAPOCENSIS, 2025

Role: Co-Author (with Sabina Volcov)
View Paper

Skills

ML/DL & AI

PyTorch TensorFlow Scikit-learn GCN/GNN CNN/DNN InceptionV3

Programming

Python C++ C SQL Java MicroPython

Data Engineering

Pandas NumPy Jupyter Feature Engineering ETL Data Viz

MLOps & Infra

Docker Linux Git CI/CD Model Deployment

Cloud & Web

AWS Cloudflare Astro Tailwind CSS

Engineering

MATLAB Vivado OrCAD Microcontrollers

Languages

English B2 (Certified)
Romanian Native

Certifications

ISC² Certified in Cybersecurity (CC)

February 2025

AWS Cloud Architecture

September 2025 (Bittnet, 16h)

English B2 Certificate

May 2024

Competitions

Competition Date Result
NASA Space Apps Challenge Sep 2023 Participant
MINOAN ROBOTSPORTS Apr 2023 🥉 3rd Place Rally
Sumo Robotic (BattleLab) May 2023 Participant