Hello 👋, I'm

Ny Hasina M. VAGNO

Software Engineer

A passionate software developer with 3 years of experience in Java/SpringBoot development, geospatial AI systems, and cloud architecture. Specialized in designing RESTful APIs, processing satellite imagery, and deploying microservices on AWS.

Ny Hasina M. VAGNO

💡 Passionate about innovation

🚀 Always learning

🎯 Solution-oriented

âš¡ Clean & efficient code

Work Illustration
Works
Java and AI Developer
Numer Madagascar
July 2022 – July 2025
Contributed to the design and development of a French deep-tech platform leveraging hybrid AI to transform ultra-high-resolution aerial imagery into geospatial insights for insurance companies,local authorities, and asset managers.
SpringBootPostgresqlAWSOpenAPICI/CDDockerJUnitYOLOv8
Banner
Re:Plate
Next.jsPostgresqlMistral AITailwind

A platform powered by nutritional AI, offering simple, tasty, and balanced recipes tailored to the specific needs of people with diabetes.

Banner
Authentify
SpringbootDockerTOTPGoogle Authenticator

A secure authentication service built with Spring Boot, implementing JWT-based authentication with TOTP (Time-based One-Time Password) multi-factor authentication using Google Authenticator.

Banner
Velib-Paris
Next.jsScikit-learnPandasMatplotlibSeaborn

Development of a multi-target predictive model using Paris OpenData to forecast, in real time, the number of available bikes and free docking stations across bike-sharing stations.

Banner
Re:Plate
Next.jsPostgresqlMistral AITailwind

A platform powered by nutritional AI, offering simple, tasty, and balanced recipes tailored to the specific needs of people with diabetes.

Banner
Authentify
SpringbootDockerTOTPGoogle Authenticator

A secure authentication service built with Spring Boot, implementing JWT-based authentication with TOTP (Time-based One-Time Password) multi-factor authentication using Google Authenticator.

Banner
Velib-Paris
Scikit-learnPandasMatplotlibSeaborn

Development of a multi-target predictive model using Paris OpenData to forecast, in real time, the number of available bikes and free docking stations across bike-sharing stations.