Hello, I'm
Backend Infrastructure · Mobile Platforms · Data Systems. Building production-grade systems powering consumer platforms at scale with 11,500+ users, 87.5% pipeline efficiency gains, and 97% crash-free mobile performance.
Full-Stack Engineer with 4+ years of experience building production-grade systems across data engineering, backend platforms, and mobile applications.
Proven track record of designing high-throughput data ingestion pipelines, graph-based identity resolution systems, and server-driven mobile architectures powering consumer platforms at scale (11,500+ users).
Deep expertise in Python/Prefect, Node.js/TypeScript, and React Native, with measurable impact including 87.5% ingestion time reduction, 200% traffic growth, and sustained 97% crash-free mobile performance.
Designed graph theory–based identity resolution engines and canonical ETL pipelines normalizing data across 50+ product categories and 14+ stores.
Built high-throughput ingestion services, real-time search systems via Typesense, and Server-Driven UI frameworks enabling OTA mobile updates.
Delivered consumer apps serving 11,500+ users with 97% crash-free rate, streaming AI chat interfaces, and 25% FPS improvements.
Lead Full-Stack Engineer for the Rakhys ecosystem (11,500+ users), driving architectural decisions across data ingestion, backend systems, and mobile platform development. Designed graph-based identity resolution achieving 80% stable ID coverage and 200% traffic growth. Reduced data ingestion time by 87.5% (8h → 1h).
Built Laravel REST APIs and normalized schemas for a logistics platform. Architected multi-tenant RBAC systems. Reduced API latency by 20% via eager loading and indexing.
Built Hatheq, an e-commerce platform using Laravel and Flutter. Integrated FCM for push notifications.
Built a masked face recognition model achieving 93% accuracy using VGG16/ResNet. Co-authored a paper published in Springer ICESP 2023.
Lead engineer for consumer platform serving 11,500+ users. Built data pipelines, identity resolution engine, real-time search, and mobile app with streaming AI chat interface.
Graph theory–based system matching products across 14+ stores. Achieved 80% stable ID coverage enabling clustering features that drove significant traffic increase.
Designed and deployed SDUI framework enabling non-engineers to manage mobile layouts, banners, and promotions without app releases.
Full-stack e-commerce platform built with Laravel backend and Flutter mobile app. Integrated push notifications via FCM.
Built a masked face recognition model achieving 93% accuracy using VGG16/ResNet transfer learning approaches. The research proposes methods to overcome challenges of partial face occlusion in recognition systems.
Read PublicationI'm always open to discussing new projects, technical challenges, or opportunities to build systems at scale. Whether you need help with data engineering, backend architecture, or mobile development - let's connect!