Lost Time
An Android screen-time system that turns app usage into actionable limits, overlays, history and reports. Built in Kotlin with background services, local analytics, widgets and a Windows companion.
Electrical engineering · telecommunications · USP
I work across AI/ML evaluation, signal processing, Android and cloud software. My projects emphasize reproducible experiments, privacy-aware design and careful validation on real systems.
São Paulo, Brazil · Portuguese (native) · English (fluent)
Selected work
These projects span digital wellbeing, on-device speech AI, accessibility, document security, road safety and Android system integrations. The common thread is deliberate engineering: explicit privacy boundaries, device-level QA and measurable behavior.
An Android screen-time system that turns app usage into actionable limits, overlays, history and reports. Built in Kotlin with background services, local analytics, widgets and a Windows companion.
Private Android transcription for meetings and eligible media capture. Whisper runs locally, with local translation and optional on-device text processing through llama.cpp/Qwen models; audio and transcripts remain on the device.
An audio-first road-safety companion designed to coexist with navigation apps. Its data pipeline privileges official Brazilian traffic-authority sources, preserves provenance and rejects guessed coordinates, limits or directions.
A configurable notification edge-lighting system with multiple rendering modes, app-matched color and privacy-first event handling. The core visual path reacts to notification events without consuming message content.
A one-shot Android selector for text that other apps do not expose through their own selection UI. It combines Accessibility geometry with local OCR while protecting native gestures and keeping captured content on-device.
A local-first PDF signing utility with vector ink, reusable signatures, structural PDF preservation and protected signing workflows. Its security track uses Android Keystore and region-gated ICP-Brasil support.
Telecommunications capstone · USP
A collaborative engineering project that benchmarked classical and neural denoisers under a shared harness, then carried the selected signal path toward a Windows virtual-capture prototype.
About
I study Electrical Engineering with a Telecommunications emphasis at the University of São Paulo. My strongest work sits at the boundary between models and systems: designing experiments, interrogating failure modes, building the software around the model and turning results into clear technical decisions.