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shahriar29

Shoaib Shahriar

@shahriar29

Software Engineer at Deloitte

Bangladesh
Inglês, Bengali, Hindi
Algumas informações são exibidas no idioma inglês.
Sobre mim
I’m a Full-Stack .NET Developer and Technical Lead with 9+ years of experience building, stabilizing, and scaling production-ready software. I specialize in C#, ASP.NET Core, REST APIs, microservices, SQL Server, and Azure. For the last 5+ years, I’ve led international teams and owned end-to-end delivery of business-critical systems. I’m known for taking over complex or legacy codebases, improving performance and reliability, and shipping features safely. Highly adaptable, reliable, and focused on long-term product success.... Saiba mais

Habilidades

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shahriar29
Shoaib Shahriar
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

API e Integrações
I will integrate chatgpt or openai API into your asp net core app
API e Integrações
I will develop scalable asp net core web API with clean architecture

Portfólio

Experiência profissional

Deloitte

Software Developer (.NET / SharePoint)

Deloitte • Período integral

May 2026 - Present2 mos

Working as a Software Developer (.NET / SharePoint) on a Deloitte engagement through Paralucent, contributing to enterprise-grade applications in a production support and enhancement model. Responsible for handling Tier-2 incidents, debugging complex issues, and delivering reliable fixes across a mixed application landscape including .NET services, SharePoint Online solutions, and integrated enterprise systems. Key responsibilities include: • Investigating and resolving production issues through log analysis, API tracing, and database debugging • Developing and maintaining ASP.NET Core Web APIs and backend services • Supporting SharePoint Online solutions, including list-based workflows and integrations • Building and maintaining system integrations across internal and third-party platforms • Collaborating with cross-functional teams (BA, QA, support) to deliver stable and high-quality releases • Writing clean, maintainable code following secure SDLC practices • Utilizing AI-assisted development tools (GitHub Copilot, ChatGPT) to improve productivity and code quality Working in a structured enterprise environment with a strong focus on system reliability, stakeholder communication, and continuous improvement.

Lead Software Engineer

EchoLogyx Ltd • Período integral

Jul 2024 - Sep 20251 yr 2 mos

Senior backend contributor and technical lead working on the largest distributor of household appliance spare parts, accessories and consumables in the UK, a high-traffic UK eCommerce platform built on distributed microservices architecture. • Designed and delivered scalable backend services and REST APIs using C#, ASP.NET Core, .NET 6, CQRS, and Clean Architecture • Contributed hands-on across microservices architecture supporting 30+ services with Azure DevOps CI/CD pipelines • Led technical delivery while mentoring engineers and supporting architecture decisions across backend domains • Collaborated with UK business, warehouse, and operations teams to translate requirements into scalable backend solutions • Supported secure API practices including RBAC, JWT-based authorization, and GDPR-aligned development • Introduced AI-assisted engineering workflows (GitHub Copilot, ChatGPT, Claude, Gemini) to improve productivity and delivery speed

Senior Software Engineer

Echologyx Ltd. • Período integral

Nov 2020 - Jul 20243 yrs 8 mos

Backend engineer contributing to a distributed UK eCommerce ecosystem with 30+ microservices supporting high-volume product and order workflows. • Built scalable backend services and APIs using C#, ASP.NET Core, CQRS, NServiceBus, and SQL Server • Delivered performance optimizations and database tuning for large product catalogs (1M+ products) • Applied TDD practices using XUnit and MSpec, maintaining 99%+ automated test coverage • Implemented integrations and business-driven backend features aligned with commerce and warehouse workflows • Collaborated across cross-functional teams to improve reliability, deployment efficiency, and system scalability