Image & text matching
Integrated facial recognition and description matching models to surface potentially related reports from image and text inputs.
PORTFOLIO / SELECTED WORK
Built around
real problems.
A closer look at the applications I’ve built, the integrations behind them, and the work currently in progress.
01 / CONNECTED DEVICES
SleepSanity
The mobile companion for a connected sleep device.
I built the complete app functionality: accounts, device connection, stored routines, evening and morning sequences, powernaps and playback controls. The engineering combines Flutter application state, BLE device commands and coordinated audio, light and lens tint transitions.
Read the full case study →02 / AI & COMMUNITY
Lost & Found Pakistan
Helping people find related reports, and reach each other.
A mobile application combining lost/found posts, AI assisted matching, location based discovery and direct messaging.
Location & discovery
Implemented Google Maps location selection, geolocation and geocoding, with category/date queries and description/location filters.
Real time conversations
Built text and image messaging with Firestore chat room and message collections, authenticated identities and stored media attachments.
Application foundation
Created account flows, post publishing, image uploads and saved posts using Flutter, Firebase Authentication, Firestore and Cloud Storage.
03 / ENGINEERING TOOLS
Accelerometer diagnostics
Making device behaviour visible.
I built a Flutter test application for the SleepSanity hardware team to inspect incoming BLE data and investigate sensor throughput.
- Raw BLE notification capture, hexadecimal packet inspection and timed packet counts.
- Sampling frequency configuration and measurement ranges from ±2g to ±16g.
- Updated GATT discovery for revised UUIDs and a shared write/notify characteristic.
- Android high connection priority requests and investigation of sample rate versus notification rate differences.
04 / IN DEVELOPMENT
Actiband FH
Desktop actigraphy and sleep data analysis.
A Windows/macOS targeted application in development for tri axial accelerometer testing and sleep assessment. The planned workflow takes recordings from device acquisition through analysis and reporting.
01AcquireBLE / USB recordings
02AnalyseEpochs & sleep metrics
03ReviewActograms & trends
04ExportPDF / CSV reports
Planned scope includes timestamped X/Y/Z storage, transfer integrity checks, sleep/wake scoring, total sleep time, latency, sleep efficiency, head position analysis and versioned re scoring. These capabilities are in development, not presented as a released or clinically validated product.
05 / APPLICATION INTEGRATION
Intrusion Detection System
A Flutter interface for detection workflows.
Built dashboard, alert, log and report screens with HTTP/JSON integration to detection and model training endpoints. Added response parsing, request error handling, timestamped SQLite logs and chart based reporting views.
CONTACT / AAZIQ ALI SHAH OPEN TO MOBILE ROLES
Build something
that works.
Flutter, connected devices and the interfaces between them. If that fits what your team is building, I would be glad to hear from you.