Open to opportunities

Sparsh Bansal

@sparshbansal

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Full-stack software engineer building scalable .NET microservices and AI apps.

India

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What I'm looking for

I’m looking for a role where I can build scalable .NET microservices and RESTful APIs with clean architecture and event-driven patterns, while continuing to ship AI-powered features in a collaborative Agile team.

I’m a motivated, results-driven software development engineer with a strong foundation in full-stack development, microservices architecture, and scalable web applications. I build RESTful APIs, CQRS-based systems, and event-driven architectures using .NET, Angular, SQL Server, Docker, and RabbitMQ. I also apply object-oriented programming, Clean Architecture, and Agile/Scrum practices to turn complex problems into efficient, maintainable software.

In my .NET Full-Stack Trainee role at Capgemini, I helped develop an end-to-end Credit Card Management System using 5–6 ASP.NET Core microservices with an Angular frontend, improving SQL Server query performance by approximately 70%. I’ve also delivered projects like FinVault (CQRS microservices with Ocelot API Gateway, JWT, Docker Compose, RabbitMQ/MassTransit) and a Document-Based Q&A system using LangChain and FAISS with public deployment via Ngrok—always focused on scalable design and reliable execution.

Experience

Work history, roles, and key accomplishments

.NET Full-Stack Trainee

Capgemini

Dec 2025 - May 2026 (5 months)

Built and supported an end-to-end Credit Card Management System using 5–6 ASP.NET Core microservices with an Angular frontend. Improved SQL Server query performance by ~70% and resolved critical payment-service issues to enhance transaction reliability and system responsiveness.

ASP.NET Core Microservices Angular SQL Server SQL Query Optimization Clean Architecture SOLID Object Oriented Programming

Education

Degrees, certifications, and relevant coursework

Lovely Professional University

Bachelor of Technology (B.Tech), Computer Science

2022 - 2026

B.Tech in Computer Science with coursework including Data Structures and Algorithms, Software Engineering, Object-Oriented Programming, Generative AI, Operating Systems, and Computer Networks.