Engineered for
Intelligence

Senior Software Developer fusing native Mobile Architecture with scalable AI Microservices.

Beyond the Code

I am a Lead Mobile Engineer based in Islamabad, specializing in building offline-first enterprise systems and edge-AI solutions.

My journey started at COMSATS University (BS CS, 2019-2023), where I researched deep learning for medical imaging. Today, I lead engineering teams to bridge the gap between heavy neural networks and constrained mobile hardware.

Engineering Lead

Mentoring teams & Architecting MVVM solutions

Open Source

Contributor to Edge AI & Mobile Security tools

EducationBS CS, 2023
COMSATS Islamabad
Mobile Architecture (Clean/MVVM)95%
On-Device ML (TFLite/Mediapipe)90%
Backend (Python/FastAPI)85%

Technical Arsenal

A comprehensive stack enabling full-cycle development from edge devices to cloud inference.

Mobile Native

KotlinSwiftJetpack ComposeSwiftUICoroutinesRoom DBHilt/Dagger

Backend & Cloud

Python FastAPIDockerPostgreSQLRedisWebSockets (Socket.IO)Google Maps API

AI & Edge ML

TensorFlow LiteCameraXML KitSignal ProcessingOCR & VADMu-law Compression

DevOps & Security

CI/CD (GitHub Actions)ProGuard/R8OWASP Mobile Top 10GitGradle Optimization

Featured Deployments

From native mobile modules to scalable D2C platforms.

Fiorra Desktop
Desktop Storefront
Fiorra Mobile
Mobile UX
Fiorra Admin
Admin Dashboard
LIVE BUSINESSNEXT.JS 14

Fiorra Bedding

A high-performance D2C e-commerce platform engineered for my own bedding brand.

Full-Stack Architecture

Built with Next.js App Router and Server Actions for SEO dominance. Custom backend handles order orchestration, inventory locking, and automated email logistics.

Business Logic & CMS

Developed a bespoke Admin Panel for real-time sales analytics and product management, eliminating monthly Shopify fees and allowing complete data ownership.

UX & Performance

Optimized core web vitals with image lazy-loading and edge caching.

Visit Store

Source code is proprietary. Live architecture walkthrough available upon request.

Contactless Biometrics

Enterprise banking module enabling secure finger verification via smartphone cameras. Achieved 99% acceptance accuracy and sub-200ms latency using custom TFLite quantization.

KotlinOpenCVTFLiteCameraX

SpeechDriven Banking SDK

"Siri-like" conversational interface for fintech. Implemented full-duplex WebSockets with Mu-law compression (50% bandwidth reduction) and on-device VAD.

WebSocketsVADMu-lawFastAPI

Offline-First FSM App

Utility app for 2000+ field workers. Features on-device OCR to digitize meter readings, reducing human error by 90%. Built with WorkManager for 100% data integrity.

Room DBWorkManagerOCREdge AI

LucaSeg: Cancer Detection

Academic research project using 3D CNNs for Lung Cancer segmentation on CT-scans. Features a real-time visualization dashboard for clinicians to classify nodules.

Deep LearningCNNPythonMedical Imaging

Professional Timeline

Dec 2024 - Present

Lead Mobile Applications

wAl Industries

  • Leading the mobile engineering team, developing enterprise-grade field service solutions integrated with Edge AI[cite: 13].
  • Architected codebase using MVVM Clean Architecture and Hilt, reducing feature development cycles by 30%[cite: 14].
  • Deployed custom TFLite Object Detection and OCR models to automate meter readings, reducing errors by 90%[cite: 16].
  • Designed "Offline-First" synchronization using Room Database and WorkManager for intermittent connectivity[cite: 17].
Mar 2022 - Nov 2024

Android Software Developer

ISSM

  • Engineered high-precision contactless biometric authentication using smartphone cameras (99% accuracy)[cite: 26].
  • Architected a "Siri-like" conversational banking interface, improving user task completion by 60%[cite: 28].
  • Developed real-time full-duplex audio streaming using WebSockets and Mu-law compression[cite: 29].
  • Designed custom Computer Vision pipeline with CameraX and TFLite under 200ms latency[cite: 27].

Initialize Communication