What I build
One engineer, from backend to AI. Java backends, web and mobile apps, AI, cloud: I adapt to your project’s ecosystem and quickly learn what I am missing. Every service below rests on real projects you can open.
documented projects 27
language ecosystems 7
languages used in projects 12
certificates 50 Range
Ecosystems I have shipped in Java Backends & microservices Spring Boot Spring Cloud JPA Python AI, data & APIs FastAPI Django TensorFlow TypeScript Web & full-stack Angular React Next.js PHP MVC web applications Laravel Symfony C# / .NET Business applications ASP.NET Core EF Core Mobile Android & cross-platform Flutter Kotlin Jetpack C / C++ Algorithms & performance C++20 STL CMake Services
What I can build for you Java backends & microservices Secured, documented Spring Boot APIs, layered or as microservices behind an API Gateway, with tested business rules.
Layered REST APIs: controller, service, repository, DTO. JWT, BCrypt and RBAC security, multi-tenant isolation when needed. Consistent transactions, idempotency, JUnit and Testcontainers tests. OpenAPI contracts and Postman collections. Java Spring Boot Spring Security Spring Cloud Gateway JPA MySQL PostgreSQL Full-stack web applications From interface to database, in your team’s ecosystem: Angular, React, Next.js, Laravel, Django or ASP.NET Core.
Responsive interfaces designed for each role. Back office, authentication and permissions. Relational model, migrations and API integration. Angular React Next.js TypeScript Laravel Django ASP.NET Core AI copilots & RAG An assistant that answers from your documents, cites its sources, respects who may read what and hands over to a person when needed.
PDF and DOCX extraction, chunking and indexing. Role-filtered retrieval before generation, source-grounded answers. SSE streaming and escalation to a support ticket. Answer quality evaluation. FastAPI LangChain OpenAI pgvector Embeddings SSE Applied AI & vision Deep learning models evaluated honestly: official test sets, data leakage caught, reproducible pipelines.
Domain-aware preprocessing and augmentation. CNNs and transfer learning (ResNet50). Full metrics, model card, real-time inference. Python TensorFlow Keras OpenCV scikit-learn Content-managed platforms Live sites your team updates on its own, with a headless CMS, fast media and ongoing maintenance.
A fast editorial front end. A CMS to publish without a developer. SEO, performance and live improvements. Next.js Strapi Supabase Cloudinary Django Mobile applications Android and Flutter apps structured like a backend: clean layers, predictable state, data available offline.
Clean Architecture or MVVM. Local storage and API-ready sync. Material Design interfaces and dashboards. Flutter Dart Kotlin BLoC Room Hive Cloud, containers & CI/CD Environments that start with one command and automated deployments, all the way to AWS.
Docker and Docker Compose, Nginx reverse proxy. GitHub Actions pipelines: tests, builds, deployment. AWS: ECS Fargate, RDS, S3 + CloudFront, Infrastructure as Code. Docker GitHub Actions AWS Terraform Nginx Vercel Automation & data tools Tools that replace a repetitive chore: data collection, explainable ranking, history and ready-to-share exports.
API-based collection and deduplication. Transparent scoring and ranking rules. Excel, CSV and JSON exports, REST API. Python Flask Node.js PostgreSQL SerpApi 1 Understand the business Before code: who uses the tool, which rules matter, what must never break.
2 Model first A data model and an architecture set before the screens.
3 Build and test Business invariants checked by tests, figures measured, never rounded up.
4 Ship and maintain Containers, CI/CD, going live, then maintenance and improvements.