Architected and implemented a cloud-native DevSecOps pipeline to automate build-test-deploy workflows and deliver repeatable, auditable deployments to Kubernetes (EKS). Integrated continuous security controls by automating static analysis and image vulnerability scanning with enforced quality gates. Deployed centralized monitoring and observability with Prometheus and Grafana to surface CI/CD and container metrics for incident triage and capacity planning. Containerized application workloads and applied GitOps patterns for secure, scalable infrastructure-as-code delivery.

Architected a Next.js 15 ERP for pharmaceutical operations featuring 57 REST routes and 16 MongoDB models to automate order-to-cash, inventory, and finance. Built a component-driven frontend with 68 React modules and dashboards tracking 10+ KPIs to streamline invoicing and ledger workflows. Engineered an inventory intelligence layer with alert tiers and bulk SKU data normalization. Improved security using bcrypt-secured JWT auth and role-aware middleware, backed by a resilient MongoDB connector with exponential backoff and failover.

Implemented a complete NLP pipeline for processing legal judgment documents using GPU-accelerated deep learning. The system features a dual-extraction OCR strategy (PyPDF2/Tesseract) and a custom CBOW Word2Vec model with Xavier initialization. Developed both extractive summarization using sentence embeddings (cosine similarity) and abstractive summarization using NER and POS tagging. The project includes an interactive Gradio web application for real-time summarization and achieved a training perplexity of 24.17 across 680,000+ words.

Architected a full-stack job management platform for restoration companies featuring real-time analytics, dynamic reporting, and complete CRUD operations for the sales lifecycle. Implemented sophisticated business logic for lead protection, automated workflow transitions, and a responsive drag-and-drop UI. Engineered a robust authentication system with Role-Based Access Control (RBAC) and Supabase RLS policies. Optimized the system using singleton patterns for client instances and ensured strict TypeScript compliance across 80+ files.

Led the end-to-end development of an enterprise solution for Rehmania Flour & General Mills, automating the business lifecycle from inquiry to FBR-compliant e-invoicing. Integrated OCR technology for automated email parsing, reducing manual data entry by 85%. Developed a dynamic pricing engine, vendor procurement system, and real-time tax compliance modules. Architected a robust BI dashboard with PostgreSQL full-text search and Row-Level Security (RLS) to provide actionable insights while maintaining strict data isolation for Sales, Finance, and Admin roles.

Architected a dual-platform solution (Web Admin & Mobile Field App) to automate property maintenance workflows. Engineered a job dispatch system that reduced administrative overhead by 70% through intelligent routing and real-time push notifications. The mobile app supports offline-capable photo/receipt uploads and GPS integration for field operatives. Built an advanced pricing engine handling assessment fees and contractor coordination, backed by a normalized 9-table PostgreSQL schema for multi-tenant property management.