05/2013 – 06/2017
Bachelor of Engineering, Computer Science & Engineering
Siddaganga Institute of Technology, VTU – Mangalore, India.
Open to Work
Hi, I'm Sarun Saji
Software Developer — Backend & AI
Building intelligent systems that combine powerful backends with AI-powered mobile experiences, especially voice AI and self-hosted solutions.
★ Featured Project
Live on Google Play
Android · Voice AI · Custom Keyboard
Voxly AI Keyboard
A published Android product: a keyboard you talk to. Hold the mic, speak, and your words are typed into whatever app you are already in — WhatsApp, Gmail, Instagram, anything. Speak one language, send another, across 22 languages, twelve of which get a full keyboard in their own script. Built end to end and shipped on Google Play as a paid product with in-app purchases.
- 🎙️ Speak one language, send another — say it in Malayalam and send it in Danish, or Hindi in and English out. Voxly writes in the language you picked, directly into the field you are typing in.
- ⌨️ A keyboard rebuilt from scratch — Android's keyboard framework has been deprecated for years, so the whole board was written new: twelve full keyboards in their own script, Nordic and QWERTZ/AZERTY layouts, swipe typing, learned words, emoji and GIFs, and TalkBack accessibility throughout.
- 🛡️ You always know what you sent — when the output is a language you cannot read, Voxly shows you the English of it before it goes. Your voice is never stored and the text is never logged.
- 💳 Real money, handled properly — credits are metered by the backend, never by the client, and every Play purchase is verified server-side before anything is granted. Typing is free; only a voice message spends a credit.
- 🚀 Owned end to end — Android client, backend service, the self-managed infrastructure it runs on, the Play Console listing, privacy policy and release process. Sole developer.
Kotlin
Jetpack Compose
Custom IME
FastAPI
Speech Recognition AI
Play Billing
Firebase
Docker
My Works
AI-powered applications and production-grade systems
Data Engineering / Machine Learning
Danish Power Data Pipeline
Production data platform for the Danish electricity market: 31.8 million rows of prices, weather forecasts, CO₂ intensity and consumption, orchestrated nightly in Dagster on TimescaleDB. Every morning a LightGBM model predicts the next day's 24 hourly prices before the auction closes, scored publicly as the real prices land.
Python
Dagster
TimescaleDB
LightGBM
Plotly Dash
AI / Self-Hosted
Personal RAG System
Fully self-hosted Retrieval-Augmented Generation system on a private VPS. Upload PDFs and links, then query using a private local Qwen 7B model via Streamlit UI or terminal.
FastAPI
LangChain
ChromaDB
Ollama
Streamlit
Data Pipeline / Data Viz
Aalborg DK1 Energy Dashboard
End-to-end energy-data pipeline: a nightly n8n robot pulls DK1 power prices and wind forecasts from Energinet's API into PostgreSQL, then delivers them as a Telegram briefing and a live Plotly Dash dashboard.
n8n
Python
Plotly Dash
PostgreSQL
Enterprise Automation
Driver & Fleet Management Systems
Django and React platform for Emirates staff transport — manages driver duty cards, daily head counts, bus odometer tracking, delay & breakdown reporting, STM route timetables, GPS/Salik data, and driver document profiles via Google Drive.
Django
React
MySQL
Python
Enterprise Automation
Cabin Crew Trip Automation
Django-based platform for cabin crew trip automation and large-scale staff transport operations (Emirates/DNATA) with real-time scheduling, reporting, and fleet management.
Django
Python
PostgreSQL
Automation
About Me
Software Developer — Backend & AI
I specialize in building intelligent systems that combine robust backends with AI-powered mobile experiences. Passionate about voice AI, personal voice cloning, self-hosted LLMs, and creating delightful user experiences backed by clean, scalable architecture. Currently based in Aalborg, Denmark and open to Backend, Mobile AI, and AI Automation roles.
My Journey
Education
Certificate
Google Data Analytics Certificate
Comprehensive training in data analysis techniques, tools, and best practices — Google / Coursera.
Experience
09/2018 – 07/2025 · Dubai, UAE
Backend & Automation Developer
Emirates General Transport — Emirates Airline Staff Transportation Project
Designed and deployed an end-to-end Django + MySQL platform digitizing operations for 175 drivers and 10,000+ daily passenger movements. Built modular backend services with role-based access control, data ingestion pipelines for GPS/Salik/mileage/cabin-crew Excel data, real-time OTP and fleet analytics dashboards (Chart.js + DataTables), Google Drive OAuth document storage, a React 18 + Axios autocomplete frontend, and automated Excel reporting for management. Containerized and deployed the full application stack.
2× Najm Award — Emirates Airlines, for operational excellence and successful project delivery