UWEM FIDELIS JOSEPH¶

Senior Android Engineer | Remote

PROFESSIONAL SUMMARY¶

Senior Android Engineer with 6+ years of experience architecting and delivering production-grade native mobile applications using Kotlin and modern Android development practices. Specialized in building healthcare, automotive, and e-commerce platforms with advanced features including computer vision (MediaPipe, ML Kit), Bluetooth Low Energy (BLE) device integration, AI-powered object recognition, and real-time data processing. Proven track record of optimizing app performance by 70%, improving user retention by 45%, and delivering scalable mobile solutions used by 500K+ users across healthcare, automotive retail, and inventory management sectors.

CORE COMPETENCIES¶

TECHNICAL EXPERTISE¶

Mobile Development: Kotlin, Android SDK, Jetpack Compose, XML Layouts, Coroutines, Flow
Architecture & Patterns: Clean Architecture, MVVM, MVI, Repository Pattern, Dependency Injection (Hilt, Koin)
Computer Vision & ML: MediaPipe, Google ML Kit, TensorFlow Lite, Custom ML Model Integration, Pose Detection
Hardware Integration: Bluetooth Low Energy (BLE), WiFi Connectivity, External Sensor Integration, Printer APIs
Backend & APIs: Retrofit, OkHttp, GraphQL, REST APIs, WebSocket, gRPC
Local Storage: Room Database, SQLite, SharedPreferences, DataStore, Realm
Image Processing: CameraX, Camera2 API, OpenCV, Image Recognition, OCR (Text Recognition)
Background Processing: WorkManager, Foreground Services, JobScheduler, AlarmManager
Testing & Quality: JUnit, Espresso, MockK, UI Testing, Integration Testing, Firebase Test Lab
DevOps & Tools: Git, GitHub Actions, Firebase (Analytics, Crashlytics, Cloud Messaging), Gradle, Fastlane
Additional Skills: Glide, Coil, Lottie Animations, Material Design 3, Accessibility Features

PROFESSIONAL EXPERIENCE¶

Senior Android Engineer (E-Commerce / Inventory Management)¶

BrickWorks – USA (Remote, Contract) | Nov 2024 – Dec 2025

Building BrickLink inventory management platform for LEGO® sellers and collectors with AI-powered brick recognition

Developed Kotlin-based inventory management application with AI object recognition system for automatic LEGO® part identification, serving 50K+ active users managing 10M+ inventory items
Implemented TensorFlow Lite custom ML model ("Bricognize") for real-time brick recognition from camera feed, achieving 85% first-try accuracy across 30K+ unique LEGO® parts
Built WiFi printer connectivity module supporting thermal label printers for automated inventory labeling, reducing labeling time by 80% and eliminating manual errors
Engineered comprehensive barcode scanning system using ML Kit Barcode Scanning API, processing 500K+ scans monthly with 99% scan success rate
Designed advanced background worker implementation using WorkManager for inventory synchronization, price updates, and order processing, handling 100K+ daily background tasks
Created sophisticated search and filtering engine with full-text search, multi-criteria filtering, and real-time results, improving product discovery speed by 65%
Implemented real-time inventory tracking with Room database, providing instant updates across multiple stores
Built analytics dashboard with sales performance tracking, inventory value calculations, and trend analysis using MPAndroidChart library
Developed order management system with status tracking, shipping integration, and customer notification workflows
Optimized image loading and caching strategy using Coil, reducing memory usage by 50% and eliminating image-related crashes
Integrated REST APIs for BrickLink marketplace synchronization, handling real-time price updates and order notifications
Implemented local-first architecture ensuring app functionality during offline operation with intelligent conflict resolution on reconnection

Key Technologies: Kotlin, TensorFlow Lite, ML Kit, WiFi Connectivity APIs, WorkManager, CameraX, Room Database, MVVM, Coroutines, Hilt, Retrofit

Senior Android Engineer (Healthcare / Digital Health)¶

Bodynetic – Singapore (Remote, Contract) | Jul 2023 – Nov 2023

Building AI-powered posture analysis and corrective exercise platform targeting 1M+ users for chronic pain prevention

Architected MediaPipe-powered posture analysis application using computer vision and pose detection, analyzing 100K+ posture assessments with clinical-grade accuracy
Integrated Google MediaPipe Pose Landmarker for real-time skeletal tracking and joint angle calculation, detecting 33 body landmarks at 30 FPS on mid-range Android devices
Built advanced computer vision pipeline processing video input for dynamic movement analysis, tracking range of motion, postural deviations, and asymmetry measurements in real-time
Developed AI-driven exercise correction system providing real-time feedback on form and posture during workout routines, improving exercise effectiveness by 55%
Implemented comprehensive posture scoring algorithm analyzing 15+ postural parameters including forward head posture, shoulder alignment, spinal curvature, and pelvic tilt
Created professional PDF report generation system with detailed posture analysis, comparison charts, progress tracking, and personalized exercise recommendations
Engineered background video processing using Kotlin Coroutines and WorkManager, allowing users to record exercises and receive analysis results within 60 seconds
Built accessibility features for visually impaired athletes and users with autism, including voice guidance, high-contrast UI, and simplified navigation flows
Designed exercise library system with 200+ corrective exercises, video demonstrations, and progressive difficulty levels tailored to individual posture issues
Integrated Firebase ML Kit for additional computer vision capabilities and cloud-based model training for continuous improvement
Optimized camera capture using CameraX API with custom frame processing, reducing battery consumption by 40% during active sessions
Implemented HIPAA-compliant data storage with encrypted local database and secure cloud synchronization for patient records
Established automated testing suite with JUnit and Espresso, achieving 85% code coverage and reducing regression bugs by 70%

Key Technologies: Kotlin, MediaPipe, Computer Vision, CameraX, TensorFlow Lite, Coroutines, Room Database, WorkManager, Clean Architecture, Hilt, Firebase ML Kit

Senior Android Engineer (Automotive Technology)¶

CitNOW – UK (Remote, Contract) | Jul 2022 – Jun 2023

Developing video communication platform for automotive retail used by 43+ car manufacturers including BMW, serving 1M+ monthly video productions

Built Kotlin-based video capture and processing application with Google ML Kit computer vision and text recognition (OCR), processing 10K videos annually for automotive sales and service operations
Implemented AI-powered vehicle inspection system using ML Kit's object detection and text recognition APIs, automatically identifying VIN numbers, license plates, and damage assessment with 82% accuracy
Developed advanced camera interface with real-time image quality analysis, guided capture workflows, and automatic lighting adjustment, reducing unusable footage by 70%
Engineered custom video encoding pipeline optimizing file sizes by 55% while maintaining HD quality, reducing upload times from 3 minutes to 45 seconds on 4G networks
Built real-time text recognition system for reading odometer displays, service stickers, and vehicle documentation, eliminating 95% of manual data entry errors
Designed modular architecture with feature modules for Sales, Workshop, and Imaging capabilities, enabling independent deployment and reducing app size by 40% through dynamic feature delivery
Implemented offline video queue management with intelligent background upload using WorkManager, ensuring zero data loss during network interruptions
Created professional video annotation tools with overlay graphics, callouts, and audio commentary recording, increasing customer engagement by 45%
Integrated dealership management system (DMS) APIs for seamless vehicle data synchronization across 5,000+ automotive retailers
Optimized rendering performance using ExoPlayer and custom video processing, achieving 60 FPS playback on mid-range devices
Established CI/CD pipeline with automated testing and Google Playstore App Distribution, reducing release cycle from 2 weeks to 3 days

Key Technologies: Kotlin, Google ML Kit, OCR/Text Recognition, CameraX, ExoPlayer, WorkManager, Retrofit, MVVM, Hilt, Coroutines, Room, Firebase

Senior Android Engineer (Healthcare / Medical Devices)¶

Isansys Lifecare – India/UK (Remote, Contract) | Jan 2021 – Jun 2022

Building FDA-cleared wireless patient monitoring platform serving hospitals including Apollo, Fortis, Max Healthcare, and NHS facilities

Architected and developed Kotlin-based Android application integrating with Bluetooth Low Energy (BLE) medical sensors for real-time vital signs monitoring, supporting 500K+ patient monitoring sessions
Engineered modular architecture with Clean Architecture principles, separating sensor data layer, domain logic, and UI presentation, reducing codebase complexity by 60% and improving maintainability
Implemented real-time data synchronization using Kotlin Coroutines and Flow, processing heart rate, respiration, temperature, SpO2, ECG, and blood pressure data from multiple wireless sensors simultaneously with <100ms latency
Built custom BLE device discovery and pairing system handling 15+ concurrent sensor connections with automatic reconnection logic and signal strength monitoring
Developed HIPAA-compliant secure data transmission layer using AES-256 encryption for patient data, ensuring end-to-end security between sensors, mobile gateway, and cloud servers
Created sophisticated alerting and notification system with customizable Early Warning Score (EWS) thresholds, reducing false positives by 80% and improving clinical response times
Designed offline-first architecture with Room database, ensuring continuous monitoring during network outages and automatic sync when connection restored
Optimized battery consumption by 65% through intelligent sensor polling strategies and background service optimization, enabling 24+ hour continuous monitoring on single charge
Integrated Firebase Analytics and Crashlytics, achieving 99.7% crash-free rate and reducing critical bugs by 90% through proactive monitoring
Collaborated with hardware engineers on sensor firmware optimization and protocol design, improving data accuracy by 15%
Mentored junior Android developers on BLE integration patterns, coroutines best practices, and medical device software development standards

Key Technologies: Kotlin, Android SDK, Bluetooth Low Energy (BLE), Clean Architecture, Coroutines, Flow, Room Database, MVVM, Hilt, CameraX, Firebase, Jetpack Compose

SELECTED ACHIEVEMENTS & METRICS¶

Performance & Optimization:¶

Optimized battery consumption by 65% through intelligent BLE polling strategies (Isansys)
Reduced video file sizes by 55% while maintaining HD quality (CitNOW)
Improved app startup time by 70% through modular architecture and lazy loading (BrickWorks)
Achieved 60 FPS video playback on mid-range devices through custom rendering optimization (CitNOW)

User Impact & Scale:¶

Supported 500K+ patient monitoring sessions across major hospital networks (Isansys)
Processed 10k videos annually for automotive retail operations (CitNOW)
Managed 10M+ inventory items for LEGO® sellers worldwide (BrickWorks)
Delivered 100K+ posture assessments with clinical-grade accuracy (Bodynetic)

AI & Computer Vision:¶

Achieved 82% accuracy in automated VIN and license plate recognition (CitNOW)
Built ML model with 85% first-try accuracy across 30K+ LEGO® parts (BrickWorks)
Implemented real-time pose detection tracking 33 body landmarks at 30 FPS (Bodynetic)
Reduced manual data entry errors by 95% through OCR automation (CitNOW)

Quality & Reliability:¶

Maintained 99.7% crash-free rate through comprehensive monitoring (Isansys)
Achieved 99% scan success rate for barcode processing (BrickWorks)
Reduced critical bugs by 90% through proactive Firebase monitoring (Isansys)
Decreased false positive alerts by 80% through smart threshold algorithms (Isansys)

Business Impact:¶

Increased customer engagement by 45% through video annotation features (CitNOW)
Improved exercise effectiveness by 55% with AI-powered form correction (Bodynetic)
Reduced labeling time by 80% through automated WiFi printer integration (BrickWorks)
Improved product discovery speed by 65% with advanced search engine (BrickWorks)

PROFESSIONAL DEVELOPMENT & CERTIFICATIONS¶

Bachelor of Engineering (B.Engr.) – Electrical/Electronics Engineering University of Uyo

Specialized Training: - Advanced Android Development with Kotlin (Google) - Machine Learning for Mobile Developers (TensorFlow) - Bluetooth Low Energy (BLE) Protocol & Integration - Medical Device Software Development Standards (IEC 62304) - Clean Architecture & SOLID Principles - Advanced Coroutines & Flow Patterns

TECHNICAL SPECIALIZATIONS¶

Computer Vision & ML:¶

Expert in integrating MediaPipe, ML Kit, and TensorFlow Lite for real-time image processing, pose detection, object recognition, and OCR applications in production mobile apps.

Bluetooth & Hardware Integration:¶

Deep expertise in BLE protocol, device discovery, GATT services, sensor data streaming, and building reliable connections with medical devices and IoT hardware.

Performance Optimization:¶

Proven track record of optimizing battery life, memory usage, network efficiency, and rendering performance while maintaining smooth 60 FPS user experiences.

Architecture & Scalability:¶

Strong advocate for Clean Architecture, MVVM patterns, and modular design enabling large-scale apps with independent feature development and testing.

AVAILABILITY¶

Currently available for Senior Android Engineer roles focusing on advanced mobile development with computer vision, ML integration, hardware connectivity, and high-performance applications. Open to remote opportunities with innovative teams building impactful mobile products in healthcare, automotive, fintech, or consumer technology sectors.

Visa Status: Open to relocation for the right opportunity | Currently based in Nigeria, available globally