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JANA SAADEH
Flutter Engineer | On-Device AI & Mobile Backend
Tripoli, Lebanon (UTC+2/+3) | Open to remote, or relocation with visa sponsorship
janasaadehj123@gmail.com | +961 79 192 067 | linkedin.com/in/jana-saadeh-123j | github.com/janasaadeh | janassaadeh.github.io | [Demo link]
PROFILE
Flutter engineer who ships complete mobile products: from UI and API integration to backend deployment and client
delivery. Built a fully on-device speech-emotion pipeline (TensorFlow Lite) inside a production-style Flutter app, and codelivered three client systems with a partner on Flutter, Spring Boot and MongoDB. Strongest at Flutter architecture (BLoC,
Clean Architecture), Firebase and native integrations such as NFC and Health Connect.
CORE SKILLS
Mobile: Flutter, Dart, BLoC, Provider, Clean Architecture, Dio/REST, Firebase (Auth, Firestore, FCM), NFC, Health Connect,
Maps/Geolocation, camera, audio, secure storage, background tasks, widget testing
On-device AI: TensorFlow / Keras, TensorFlow Lite, CNNs, Librosa, Mel-spectrograms, data augmentation, model evaluation
and compression
Backend: Spring Boot, Java, Spring Security (JWT/OAuth), REST APIs, role-based access, MongoDB, Docker, scheduled jobs
Practices: Git/GitHub, Postman, Figma, Agile/Scrum, SOLID, dependency injection, repository pattern
Also worked with: ASP.NET Core / C#, PostgreSQL, MySQL, Odoo
Languages: Arabic (native), English (fluent), French (good, DELF B2)
FEATURED PROJECT
Kora AI: Privacy-First Wellness App (Master’s Thesis) | Flutter, TFLite, Firebase, Health Connect, BLoC 2026
• Built an app that combines voice emotion, heart rate, activity and optional text into a single Vitality Score; raw voice and
text never leave the device.
• Trained a CNN speech-emotion model (TensorFlow/Keras) on RAVDESS, TESS and CREMA-D: 85.2% accuracy on a
speaker-disjoint test set, evaluated to avoid speaker leakage.
• Shrank the model 97.2 MB → 8.2 MB (~92%) with TensorFlow Lite and rewrote Mel-spectrogram preprocessing in Dart
for fully on-device inference.
• ~302 ms preprocessing + inference on lower-mid-range Android hardware; shipped a demo-ready APK.
EXPERIENCE
Flutter Development Intern | Intalio Mar 2026 – Sep 2026
• Built the Kora AI Flutter app (BLoC, Firebase, Health Connect, notifications, audio processing) as the internship’s main
deliverable.
• Integrated the TFLite pipeline and handled permissions and release preparation. Worked under a company supervisor
with weekly check-ins and feedback; owned the app end to end, including UI/UX.
Freelance Mobile & Backend Developer | Self-employed (with a partner) Oct 2023 – Present
• Worked with a partner on all three projects, splitting the Flutter app and Spring Boot backend work roughly evenly and
sharing client communication; took the larger share of the UI/UX design (Figma).
• University Queue System for Beirut Arab University (Flutter, Spring Boot, MongoDB): replaced crowding at the office
with an ordered digital queue, cutting waiting and confusion for 100+ students per day and ~4 staff. Ran in daily
production for ~1 year, with registration, queue advancement, role-based control and a live web display.
• Arco Energies (Flutter, Spring Boot, MongoDB): multi-role fuel-station system with NFC customer identification at
transactions, receipts, history, loyalty rewards and admin workflows. Delivered to the client.
• Golf Cart Management for C&S, Belize (Flutter, Spring Boot): replaced a paper-based process with an app for
reservations, cart availability, filters and booking flows. Deployed the backend and released the Android app to the
client.
Odoo Development Intern | NavyBits Mar 2024 – Sep 2024
• Customized Odoo modules and workflows; built QWeb and XLSX reports.
Computer Lab Instructor | Beirut Arab University Sep 2024 – Dec 2024
• Taught programming labs, supported student debugging and introduced Flutter basics.
Mobile Development Intern | Codendot Aug 2023 – Dec 2023
• Integrated REST APIs and location-based features in a Flutter app using Provider.
EDUCATION
Master’s in Web Development (Professional Master) | Lebanese University 2024 – 2026
Two-year program: M1 Computer Science (2024–25), M2 Web Development (2025–26). Thesis: Kora AI (Flutter + TFLite)
Coursework: Deep Learning, Machine Learning, AI with Python, Web Mining, Cybersecurity, IoT
B.S. in Computer Science | Beirut Arab University 2021 – 2024
GPA 3.67/4.00, graduated with honors
Courses (Udemy): Spring Boot 3, Spring 6 & Hibernate; TensorFlow 2.0 Deep Learning