Open to opportunities

Stiven Gjinaj

@stivengjinaj

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I build AI models and full-stack platforms for energy, edge vision, and data-intensive applications.

Italy

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What I'm looking for

I'm looking to build AI, data-intensive, or full-stack products where I can apply Deep Learning, data engineering, and software development to real-world problems.

I developed Deep Learning models for the SentinelPV project, reconstructing regional energy production from 90GB+ of photovoltaic, meteorological, geographical, and grid time-series data. I built data cleaning and integration pipelines and worked with energy experts to validate results against Piedmont electricity-grid dynamics.

I also built full-stack products for Fantashow, including competition scoring, referral systems, Firebase authentication, RESTful APIs, and Stripe payment recovery workflows. At TinyHack, I delivered an end-to-end Edge AI image-classification system on Arduino Nicla Vision with quantized models, cloud communication, and real-time monitoring.

My work spans Python, PyTorch, React, Spring Boot, Docker, Kafka, and Firebase, from genomic sequence prediction on HPC clusters to observable microservices and Android applications.

Experience

Work history, roles, and key accomplishments

Master Thesis Researcher

Politecnico di Torino

Dec 2025 - Jun 2026 (6 months)

Developed deep learning models for regional energy production reconstruction and managed a 90GB+ dataset, designing data cleaning and integration pipelines.

Deep Learning Transformers Python Data Cleaning Data Integration Time Series Analysis Big Data