Software Engineer at GEP Worldwide

Built and maintained high-performance real-time systems and microservices for enterprise procurement platform.

Key Responsibilities

Engineered a real-time auction and bidding system using SignalR and WebSockets, supporting high-frequency updates, concurrent bidders, and live rankings with low latency
Deployed and maintained 10+ microservices using Dockerized environments, ensuring service health, fault isolation, and predictable scaling
Owned production support and incident resolution, diagnosing issues via logs, metrics, and SQL-level data analysis while meeting strict SLA requirements

Major Achievements

Performance & Scalability

Re-architected Azure Functions (v4) to reliably handle high-concurrency triggers, applying Redis-based lazy caching to pre-fetch event data and reduce cold-start overhead
Optimized complex SQL Server stored procedures, removing full table scans and reducing processed record counts by ~40%, significantly improving query execution times

Platform Development

Designed and delivered centralized document generation APIs (Word/PDF) using Aspose, enabling multiple enterprise teams to standardize reporting workflows
Integrated Cypress-based end-to-end testing into CI/CD pipelines (GitHub Actions / Jenkins), improving release confidence and reducing regression defects

Collaboration & Impact

Actively contributed to cross-team technical initiatives, documentation, and code quality improvements, strengthening shared platform reliability
Participated in code reviews, architectural discussions, and knowledge sharing sessions

Technical Stack

Backend: C#, .NET, ASP.NET Core
Real-Time: SignalR, WebSockets
Cloud: Azure Functions, Azure SQL, Redis
Database: SQL Server
DevOps: Docker, GitHub Actions, Jenkins
Testing: Cypress
Frontend: React, TypeScript

Key Responsibilities

Engineered a real-time auction and bidding system using SignalR and WebSockets, supporting high-frequency updates, concurrent bidders, and live rankings with low latency

Deployed and maintained 10+ microservices using Dockerized environments, ensuring service health, fault isolation, and predictable scaling

Owned production support and incident resolution, diagnosing issues via logs, metrics, and SQL-level data analysis while meeting strict SLA requirements

Major Achievements

Performance & Scalability

Re-architected Azure Functions (v4) to reliably handle high-concurrency triggers, applying Redis-based lazy caching to pre-fetch event data and reduce cold-start overhead

Optimized complex SQL Server stored procedures, removing full table scans and reducing processed record counts by ~40%, significantly improving query execution times

Platform Development

Designed and delivered centralized document generation APIs (Word/PDF) using Aspose, enabling multiple enterprise teams to standardize reporting workflows

Integrated Cypress-based end-to-end testing into CI/CD pipelines (GitHub Actions / Jenkins), improving release confidence and reducing regression defects