Backend & API development in Delhi, built to carry load.
The unglamorous, load-bearing part of every product. Backends that scale, APIs that document themselves, and databases that don't corrupt at 3am. Backend systems, alongside mobile, were the studio's first focus when Techmixin was founded in Delhi in 2021. Today backend is one of seven disciplines run by one accountable team.
The part nobody sees, and everybody relies on.
We design and build the APIs, services, databases and integrations that apps, dashboards and AI features stand on — then document them, so your own team can carry them forward.
Discuss your architecture →- API design
REST, GraphQL, gRPC — versioned, documented, typed, tested, with contracts agreed before the first endpoint is written.
- Microservices & monoliths
We don't default to either. We pick the right shape for your team size and domain complexity.
- Databases
Relational, document, key-value, vector, graph. Proper schema design, indexing, migrations.
- Serverless & event-driven
Lambda, Cloud Functions, queues, streams — when they genuinely reduce ops burden.
- Integrations
Payment gateways, identity providers, 3rd-party APIs — we've seen most of them, broken most of them, fixed most of them.
A stack chosen for the long run.
Our technology direction is owned by senior engineers with deep experience across Java, Python and cloud-native systems. The senior voice is in the room for every critical design call.
- Node.js
For API layers and realtime services, such as the commerce backend behind our fashion marketplace casework.
- Python, Django & FastAPI
For data-heavy services and anything that sits close to machine learning, like the compute engine in our astrology casework.
- Java / Spring & .NET
For enterprise systems and teams that already run on those platforms.
- Cloud & delivery
Backends ship through CI/CD pipelines with logs, metrics and alerts in place — see cloud & DevOps.
- AI-ready by design
Vector stores, RAG and agents from our AI Studio. Read how we build AI agents.
Nothing gets built before it's drawn.
Discovery
Workshops, audits and stakeholder calls. We learn your domain, your load and the systems you already depend on.
Architecture
Tech stack decisions, data modelling, API contracts and integration maps.
Build
Weekly sprints, transparent boards and live staging environments, with repo access from week one.
Test & harden
Automated and manual QA plus load tests, so the first real traffic spike isn't the test.
Document
README, onboarding notes, architecture diagrams and runbooks. Code without context is a trap.
Steward
Post-launch monitoring, bug fixes and iterations. A named engineer stays on your system.
Computational astrology platform
At its core sits a computational engine we built to calculate Vedic charts accurately from birth data — then a product layer that translates technical output into readable, personal guidance across iOS, Android and the web.
◆ Client names and screens are withheld under NDA. References available on request.
- Astrological compute engine
The algorithmic core, built and owned by us.
- Personalised forecasts
Guidance across career, marriage, health and other life areas.
- Remedies, notifications & alerts
Product features served to every client app from one backend.
- Also in the casework
Our fashion marketplace runs on a Node.js backend with payment gateway integration, real-time order tracking and push notifications.
What engineering leads ask us first.
Neither by default. We pick the shape that fits your team size and domain complexity. A small team with one product is often better served by a well-structured monolith; separate services earn their keep when domains and teams genuinely diverge. We make and document that call in the architecture phase, before code is written.
REST, GraphQL and gRPC. Every API we ship is versioned, documented, typed and tested, so the apps and partners that depend on it don't break when it changes. We agree API contracts and integration maps during architecture, and hand over README files, onboarding notes and runbooks with the code.
Node.js, Python with Django or FastAPI, Java with Spring, and .NET. Our backend direction is owned by senior engineers with deep experience across Java, Python and cloud-native systems. We choose a stack on whether it suits your team and will still be here in three years, not on fashion.
Yes. Payment gateways, identity providers and third-party APIs are routine backend work for us; we've seen most of them, broken most of them and fixed most of them. Our fashion marketplace casework, for example, combines payment gateway integration with real-time order tracking and push notifications.
Yes. Our AI Studio adds agents, RAG pipelines, search and summarisation to the systems you already run, with guardrails, evaluation and cost controls. Vector databases sit alongside your existing stores. We engineer it with the same rigour as any production backend: tested, observable and with a bill you can predict.
Discuss your architecture.
Tell us what you're building, inheriting, or trying to fix. We'll reply within 24 hours with honest next steps — whether we're the right team or not.