Shivani
Dubey
Software Engineer · Backend & Systems
I build production-grade backend systems — from REST APIs and real-time platforms to multi-tenant SaaS architectures and database design. 3 years shipping code to real users daily.
Moving forward into cloud-native and AI-integrated systems — because that's where backend engineering is headed.
Engineer by craft,
architect by instinct
Background, what I've built, and what I believe about software.
I'm a Software Engineer with 3 years of full-stack experience, with depth in .NET backend, REST API design, real-time systems with SignalR, Django, and database architecture.
I've shipped production systems across HR management, healthcare, e-commerce, and environmental platforms — and contributed to a multi-tenant SaaS platform for EV charging with a full multi-project .NET architecture.
B.Tech in Computer Science · 8.9 CGPA · Actively expanding into cloud-native and AI integration.
When I'm building an API, I'm not just writing endpoints. I'm thinking about caching strategy, failure modes, query performance, and how the system scales when load doubles.
I've worked on projects where database schema design, service separation, and tenant isolation were real production concerns — not academic ones. That's the kind of thinking I bring to every role.
"The best systems are invisible to the people who use them and obvious to the engineers who maintain them. I build for both."
Where I've shipped
real systems
2 companies · 3 years · production code used by real people every day.
- Contributed to architecting a multi-tenant Blazor hybrid application (.Web server + .Web.Client WASM) with tenant-aware middleware resolving partner context from JWT claims and subdomains
- Worked on the segregated mobile backend API project — a separate .NET project with its own controllers, auth pipeline, and DTOs serving the MAUI mobile app
- Helped build and integrate PDF generation and Email service projects as independently deployable .NET services — decoupled from the main app, callable via internal API
- Contributed to the per-partner customised portal logic — tenant context resolved at middleware level so each partner sees their own branding, clients, and charger data
- Implemented SignalR for real-time charger status updates and worked on caching and SQL optimisation improving response times by 35%
- Built 3+ full-stack HR applications serving 500+ active users — achieved 99.5% uptime and 40% faster data processing through architecture decisions owned end to end
- Designed and implemented RESTful APIs handling 1000+ daily requests with JWT auth — reduced security vulnerabilities by 85% versus prior implementation
- Engineered React.js interfaces with Redux — improved engagement 30% and cut load times from 3.2s to 1.1s through code splitting and lazy loading
- Delivered features 15% ahead of sprint deadlines with 95% test coverage — established testing patterns adopted across the team
- Designed database schemas for 2 projects — optimised query performance by 50% through strategic indexing; schemas still in production use
- Built 15+ reusable React.js and Vue.js components reducing team development time by 25%
- Developed Django REST APIs processing 200+ daily calls with 99.2% success rate
Things I've built
end to end
Solo builds, production systems, and what's coming next.
Full-stack e-commerce with auth, payment gateway integration, and real-time inventory management — 100+ concurrent users, 2.1s avg load time, 95% mobile score.
Patient management platform with real-time appointment scheduling, medical records tracking, and role-based access for doctors, nurses, and admins — 200+ patients, 70% less manual reporting.
Responsible for backend development and deployment of a live environmental platform — tracking afforestation, native species, lake restoration, and tree planting across multiple Indian states. The frontend was handled by a separate team; I owned the full backend and deployment pipeline.
- Designed the complete database schema — species catalogue, project tracking, donor records, geographic data, activity logs, case studies
- Built all REST API endpoints using Django REST Framework — species, projects, donations, case studies, afforestation stats
- Made system design decisions for the backend: query optimisation, media delivery via AWS CloudFront CDN, CMS integration
- Handled deployment pipeline and environment configuration — platform live and serving real afforestation data across India
RAG pipeline — Azure AI Search + Azure OpenAI + .NET Web API. Upload a document, ask questions in natural language, get intelligent answers. Full CI/CD on Azure.
Where I'm
headed
I don't just want the next job. I want to become the kind of engineer who builds what comes next.
Moving from on-premise .NET to cloud-native Azure architecture. Certification path: AZ-900 → AZ-104 → AZ-204. Real cloud deployments, not just theory.
Building AI-powered systems using Azure OpenAI, RAG pipelines, and Semantic Kernel — as an engineer who ships AI features to production reliably, not just experiments.
Design and own distributed systems at scale. The engineers who understand both infrastructure and intelligence will define how software gets built. That's the trajectory.
Let's build
something real
Looking for backend engineering roles where I can contribute from Day 1 and keep growing. If your team ships real products and values engineering quality — let's talk.
Available for full-time positions — remote, hybrid, or on-site. No location restrictions.