01

Backend Engineering

Designing robust Python backend systems and APIs with an emphasis on security, maintainability, and scalable architecture.

Capabilities

  • REST API architecture
  • Database design
  • Authentication & authorization
  • Async services
  • Data modeling
  • Service-layer architecture

Technology

PythonFastAPIPydanticSQLAlchemyAlembicPostgreSQLJWT
02

Machine Learning

Developing machine-learning workflows from data preparation and experimentation through model evaluation and application integration.

Capabilities

  • Data preprocessing
  • Feature engineering
  • Neural networks
  • Time-series modeling
  • Transfer learning
  • Model evaluation

Technology

PythonPyTorchTensorFlowKerasNumPyPandasScikit-learn
03

LLM & AI Engineering

Building AI applications that connect language models with data, APIs, documents, and external tools.

Capabilities

  • RAG pipelines
  • Tool calling
  • LLM integration
  • AI agents
  • Embeddings
  • Model abstraction
  • Local AI systems

Technology

PythonFastAPIOllamaLLMsRAGVector Search
04

Quantitative Systems

Developing data-driven trading and market-analysis systems combining quantitative analysis, automation, and machine learning.

Capabilities

  • Strategy development
  • Backtesting
  • Market-data processing
  • Technical analysis
  • Risk management
  • Signal generation
  • ML integration

Technology

PythonNumPyPandasPine ScriptTradingViewCCXTWebSockets
05

Full-Stack Development

Building complete web applications across frontend, backend, database, and API layers.

Capabilities

  • Frontend development
  • API integration
  • Responsive interfaces
  • Authentication flows
  • Database integration
  • Component architecture

Technology

ReactTypeScriptJavaScriptReduxTailwind CSSSassBootstrapFigma