Engineering Case Studies

Enterprise System Architecture & Project Deep Dives

Detailed technical breakdown of production solutions designed, implemented, and maintained by Abdullah M — .NET Full Stack Developer based in Coimbatore, Tamil Nadu, India.

Case Study 01 • Fintech & Payments

Deluxe Payment Application

Role: .NET Full Stack Developer | Sivdev Technology Pvt Ltd
2026 - Present

Business Problem

Enterprise clients required real-time processing of high-volume financial transaction streams with strict audit requirements, zero downtime, instant settlement ledger updates, and complex multi-parameter transaction filtering for financial reporting.

Technical Solution

Architected a Clean Architecture backend powered by ASP.NET Core and CQRS with MediatR. Separated read and write paths to optimize query latency on historical ledgers while ensuring ACID transactional integrity on live payment settlements. Built an intuitive, reactive Angular 19 frontend utilizing reusable component architecture and Okta OAuth2 authentication.

Key Engineering Highlights:

  • Clean Architecture Layering: Strict separation across Domain, Application, Infrastructure, and Presentation layers, maximizing testability and maintainability.
  • CQRS & MediatR: Command handlers handle payment executions with validation pipelines; query handlers leverage optimized DTO projections directly against indexed database views.
  • Database Scaling: Tuned SQL Server stored procedures and indexing strategies to handle high concurrency and prevent blocking on financial reporting tables.
  • Enterprise Auth: Integrated Okta identity provider to govern JWT token minting, token refresh lifecycles, and fine-grained scope authorization.
  • Quality Rigor: Integrated automated unit testing with xUnit, Moq, and Vitest for continuous delivery confidence.
C# ASP.NET Core Angular 19+ SQL Server Clean Architecture CQRS / MediatR Okta OAuth2 xUnit & Vitest
Case Study 02 • Healthcare SaaS / Tele-EEG

Neuline Health — Clinical Diagnostic Cloud

Role: .NET Developer | Aezion Technologies Pvt Ltd
Healthcare Platform

Business Problem

Clinical EEG diagnostic studies generate massive multi-gigabyte binary files (EDF, BDF, and TEV/TVX event records). Technicians and physicians struggled with slow uploads, corrupted file transmissions, and manual workflow tracking.

Technical Solution

Constructed an asynchronous cloud data pipeline leveraging AWS S3 pre-signed chunked uploads and AWS Lambda background triggers. Engineered specialized binary file parsers in C# and utilized RabbitMQ to manage event-driven status transitions between technician ingestion, physician review, and medical reporting.

Key Engineering Highlights:

  • Binary Parsing Engine: Implemented stream-based parsers capable of extracting clinical telemetry and event tags from EDF and BDF formats without memory exhaustion.
  • Cloud Storage Orchestration: Automated S3 bucket event notifications triggering AWS Lambda and downstream ASP.NET Core processing workers.
  • Message Queue Resilience: Leveraged RabbitMQ for reliable asynchronous task dispatch, ensuring zero study loss even during peak upload bursts.
C# ASP.NET Core AWS S3 AWS Lambda RabbitMQ SQL Server EDF & BDF Parsers
Case Study 03 • Healthcare Analytics & Reporting

Synergy Medical Solutions — Operational Intelligence

Role: .NET Developer | Aezion Technologies Pvt Ltd
Analytics SaaS

Business Problem

Hospital networks and clinics lacked actionable visibility into physician review turnaround times, diagnostic pipeline bottlenecks, and operational capacity across multiple medical centers.

Technical Solution

Developed high-throughput ASP.NET Core Web APIs that aggregate clinical metrics. Integrated embedded Power BI dashboards for physician leads and deployed Quartz.NET background job schedulers combined with RabbitMQ to automatically compile and distribute scheduled operational reports.

ASP.NET Core Web API Power BI Embedded SQL Server Quartz.NET RabbitMQ Data Warehousing
Case Study 04 • Enterprise ERP & Pricing Engine

United Home Exports — Business Management Platform

Role: .NET Developer | Aezion Technologies Pvt Ltd
ERP System

Business Problem

A multi-service home renovation and export business was hindered by slow manual quotation workflows, inaccurate customer estimate calculations, and decentralized sales commission tracking.

Technical Solution

Architected an end-to-end ERP platform with dynamic multi-tier pricing calculation algorithms, interactive sales performance dashboards, and automated server-side PDF quotation generation. Accelerated quotation turnaround time by 60% and unified sales pipelines.

C# ASP.NET Core SQL Server Dynamic Pricing Logic Automated PDF Engine Sales Analytics

Interested in discussing these architectures?

I am open to technical interviews and full-time .NET Full Stack Developer opportunities.

Contact Abdullah M Download Resume