Dhyey Shah

Developed an end-to-end Manufacturing ERP system streamlining the complete production lifecycle from raw material procurement to finished goods. Integrated modules for BOM management, real-time inventory tracking, and accounting, alongside automated reporting and Role-Based Access Control.

Engineered an offline-first Flutter application managing 250+ daily loan records and transactions with zero data loss. Reduced report generation time by 60% through automated PDF exports and improved data retrieval speeds by 40% utilizing optimized local SQLite indexing.

Developed a full-stack financial management system that streamlined loan lifecycle tracking for 300+ members, decreasing manual data entry errors by 85%. Accelerated daily installment processing by 50% via interactive dashboards and automated Excel/PDF report generation.

Built a local-first material tracking application providing seamless offline availability. Enhanced security through machine-bound registration and automated backups, ensuring reliable and secure data recovery.

Built a Flutter-based mobile application to manage end-to-end logistics operations. Implemented order tracking, dispatch management, and invoice/receipt generation. Integrated Firebase Authentication for secure user access.

Designed an end-to-end logistics platform that automated billing and dispatch workflows, reducing operational delays by 40%. Scaled to handle 5,000+ monthly bookings and improved reporting efficiency by 70% through automated master data exports.

Architected a scalable SaaS platform enabling businesses to launch their digital presence in under 2 minutes. Reduced client onboarding time by 95% and automated payment workflows alongside AI review analytics, increasing customer engagement by 40%.

Created a mobile-first personal finance application featuring fast, responsive budget tracking and intuitive analytics rendering. Ensured complete data privacy via an offline-first architecture, reliably managing local transactions without external server dependencies.

Developed a comprehensive local business platform supporting 3 distinct user roles, boosting business discovery rates by 45% via optimized location-based search. Implemented a connects-based subscription model handling 100+ concurrent active offers seamlessly.

Developed an MSME credit intelligence platform analyzing OCR-ingested bank statements. Implemented ML models to generate transparent credit recommendations (risk category, limits, interest rates), improving loan transparency by 60% and decisioning speed by 35%.

Built a web-based billing application integrating intuitive speech-to-text functionality, significantly accelerating the checkout process for shopkeepers. Automated the generation of printable PDF bills, efficiently streamlining inventory and sales reporting workflows.

Developed a Node.js data sanitization tool that automatically masks sensitive information across multiple file formats with 95% accuracy using OCR and spaCy NER. Significantly streamlined the review process and ensured data compliance via audit-ready history logs.