DEEPRAVIXTECHLet’s build ↗
INDEPENDENT ENGINEERING · INDIA / GLOBAL

Good ideas deserve
great engineering.

From resilient Java services to dependable cloud platforms.

SYSTEMS, CONNECTED.01 — 03
01EXPERIENCEReact / Angular
02INTEGRATIONAPIs / Events / Cloud
03FOUNDATIONJava / Cloud / Data
BUILT WITH PURPOSE.↗
THE BUILDING BLOCKSJavaSpring BootAWSKafkaKubernetesAI-assisted dev (Copilot)
01 / EXPERTISE

Depth where it matters.
Perspective across the stack.

Architecture, implementation and delivery—connected by a practical understanding of how systems behave in production.

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Backend & APIs

Business services with clear boundaries, dependable contracts and maintainable code.

Java 17 / 21Spring BootRESTJPAMicroservices
↗

Cloud & delivery

Repeatable environments and delivery pipelines that support reliable releases.

AWSEKSDockerTerraformJenkins
✳

Data & events

Event-driven integrations, effective caching and dependable data services.

KafkaPostgreSQLRedisMongoDBGraphQL
ACROSS THE EXPERIENCE

React & Angular · System design · SOLID & clean architecture · API testing · Performance optimization

02 / SELECTED PROJECT AREAS

Complexity, made useful.

Professional engineering experience and hands-on project work.

NETWORK INTELLIGENCE
SIGNALS → CONTEXT → INSIGHT
PROFESSIONAL EXPERIENCE / TELECOM

Network analytics & context services

Metadata APIs, KQI calibration and asynchronous context workflows for the REA engineering domain.

Spring BootRedisMongoDB
Explore the architecture ↗

API → validation → context orchestration → metadata and calibration repositories. Redis supports caching, while asynchronous tasks support longer workflows.

Key concerns: clear DTO mappings, predictable API errors, cache lifetime and failure-aware task completion.

SMALL API. SOLID FOUNDATIONS.
GET/api/people↗
POST/api/people+
CONTRACT → SERVICE → PERSISTENCE
PRACTICE PROJECT / BACKEND

People Manager API

A focused CRUD application demonstrating separation of concerns, persistence and service/controller testing.

JavaSpring BootPostgreSQL
Explore the architecture ↗

PersonController → PersonService → PersonRepository → PostgreSQL. Request and response DTOs isolate the API from persistence details.

Validation, consistent exception handling and focused tests keep the application understandable and extensible.

03 / HOW I BUILD

Clear thinking.
Strong foundations.

Start with the problem. Make the trade-offs explicit. Build only the complexity the product needs.

  1. 01

    Understand the outcome

    Users, workflows, constraints and non-functional requirements.

  2. 02

    Design the boundaries

    Domain models, API contracts, data ownership and failure paths.

  3. 03

    Deliver with confidence

    Incremental implementation, meaningful tests and performance optimization.

REFERENCE PROJECT STRUCTURE↙

A practical starting point for a Java service.

▣   service/
src/main/java/com/example/app/
  • api/Controllers, DTOs, validation
  • application/Use cases & orchestration
  • domain/Models & business rules
  • infrastructure/Persistence & integrations
  • config/Security & configuration
src/test/

Unit, integration and API contract tests, organized by feature.

delivery/

Dockerfile, CI pipeline and environment-specific deployment configuration. Secrets stay outside source control.

docs/

Architecture decisions, API contracts and operational runbooks.

Download structure & website guide ↓
THE ENGINEER BEHIND DEEPRAVIX TECHNOLOGIES

Hi, I’m Deepak.

My work spans Java backend development, microservices, telecom analytics and cloud delivery. I enjoy turning complicated requirements into systems that other engineers can understand, operate and evolve.

I also use AI-assisted tools like GitHub Copilot to move faster while keeping code quality high.

04 / YOUR NEXT PROJECT

What are you
building next?

Bring an idea, an architecture challenge or an existing service that needs attention.

Create a brief to start the conversation.
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