2-paragraph first-person bio, friendly tone

Eden Jermendi

PRO

2-paragraph first-person bio, friendly tone

Available to hire

2-paragraph first-person bio, friendly tone

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
Hungarian
Fluent
Romanian, Moldavian, Moldovan
Advanced
Spanish; Castilian
Intermediate

Work Experience

Insurance Case Manager
May 1, 2021 - November 1, 2024
Managed claims using CRM systems with accurate data handling. Investigated and resolved complex cases using structured problem-solving.
Café Manager at Pak’N Save Café
March 1, 2018 - May 1, 2021
Managed cafe operations, customer service, inventory, and staff scheduling at Pak’N Save Café.
Full Stack Developer
May 1, 2021 - November 1, 2024
Built full-stack projects in collaborative, agile-style environments; applied problem-solving and debugging across frontend and backend tasks; designed and implemented features from concept to working product; practiced clear communication, feedback exchange, and teamwork on project-based work.

Education

Level 6 Certificate in Applied Software Development (Full-Stack Web Development) at Dev Academy Aotearoa
August 1, 2025 - July 1, 2026
Level 6 Certificate in Applied Software Development at Dev Academy Aotearoa
August 1, 2025 - July 1, 2026

Qualifications

Level 6 Certificate in Full-Stack Web Development
August 1, 2025 - July 1, 2026
Level 6 Certificate in Applied Software Development
August 1, 2025 - July 1, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment
    Weather Oracle ~ LLM-Enhanced Forecasting App

    Weather Oracle is a full-stack TypeScript application that combines real-time weather data with LLM-generated narrative output.

    Users enter a city and receive both structured weather data (temperature, feels-like, humidity) and a generated “oracle” interpretation built from those conditions.

    This project explores how deterministic data can be transformed into a more engaging, story-driven UX without losing its underlying structure.

    Key features:

    • Server-side API orchestration (no client-side secrets)
    • City → coordinates → weather retrieval via Meteoblue
    • Normalised weather data used to construct LLM prompts
    • Gemini 2.5 generates contextual narrative output
    • Single endpoint: GET /v1/oracle?city=…

    Example output:
    Instead of:
    20°C, partly cloudy

    The app returns:
    The clouds drift like slow omens, and the day carries a warm promise.

    GitHub: [weather-oracle](https://www.twine.net/signin