- Computer Science graduate from Jerusalem Multidisciplinary College (formerly Hadassah Academic College), Jerusalem - Israel
- Practical Engineer graduate from ORT College, Jerusalem - Israel
const david = {
pronouns: "He" | "Him",
code: ["Javascript", "Typescript", "Python", "Java", "C/C++"],
askMeAbout: ["web development", "microservices", "clean architecture", "algorithms", "system design"],
technologies: {
frontEnd: {
js: ["React", "Angular", "Vite"],
css: ["Bootstrap", "MUI Material"]
},
backEnd: {
js: ["Node.js", "Express"],
java: ["Spring Boot", "Spring Cloud", "Eureka", "API Gateway"]
},
databases: {
relational: ["MySQL", "PostgreSQL"],
noSQL: ["MongoDB"]
},
messaging: ["Kafka"],
machineLearning: {
frameworks: ["Tensorflow/Keras"],
libraries: [
"NumPy",
"Pandas",
"SciPy",
"Matplotlib",
"Seaborn",
"OpenCV"
],
environments: ["Google Colab"],
fields: ["Deep Learning", "Computer Vision"],
applications: ["Handwriting Recognition", "Image Processing"]
}
},
architecture: ["Microservices Architecture",
"Serverless Architecture",
"Progressive web applications",
"Single page applications"],
softSkills: ["Problem-solving", "Teamwork", "Quick learning", "Adaptability"],
contact: {
email: "dmaman86@gmail.com",
linkedIn: "linkedin.com/in/david-alejandro-maman-994976121"
}
};- Courier-App - A full-stack application built with Spring Boot Cloud, Eureka, API Gateway, and Kafka on the backend, and React with TypeScript for the frontend. It includes features for user, branch, and order management, supporting different roles such as admin, courier, and client.
 |
 |
|---|---|
 |
 |
-
Shiftly - A modern and intuitive work-hour tracking system built with React, TypeScript, and MUI.
It calculates salaries according to Israeli labor laws, handling complex wage structures including overtime, night shifts, holidays, and special bonuses.
-
Author-Handwriting-Recog - A deep learning project for offline writer identification using metric learning and embedding-based approaches.
Built with Python, TensorFlow, and Keras, this project evolved from traditional classification methods to a more scalable and robust embedding-based pipeline using MobileNetV2/EfficientNetV2 + Triplet Loss.
Strategy Aggregation Accuracy (204 writers) Accuracy (203 writers) 1-NN vote 100.00% 100.00% Top-K vote 99.51% 99.01% Centroid vote 91.67% 83.74% Mean vote 57.84% 52.22% Measured using cosine distance:
- Intra-author distance: ~0.35
- Inter-author distance: ~0.95
- Algo-Solutions - A growing collection of algorithmic problem solutions implemented in C++, JavaScript, and Python, including test cases for validation.
Features clean implementations, performance optimizations, and reusable data structures to improve problem-solving skills.
Designed as an ongoing repository to strengthen analytical thinking and mastery of algorithmic patterns.
- Super Mario Kart - A group project developed using C++ and SFML, applying object-oriented programming principles and extended with JavaScript and Firebase for additional functionality.
