Transforming Ideas into AI-powered Experiences

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About

I specialize in building intelligent cross-platform web and mobile applications that leverage AI and machine learning to deliver transformative user experiences.

  • Cloud: AWS, Google Cloud, Microsoft Azure, Heroku, Netlify
  • AI/ML: TensorFlow, PyTorch, Scikit-learn, OpenAI API, Anthropic Claude API, LangChain
  • Backend: Node.js, Python, Java (Spring Boot)
  • Databases: PostgreSQL, MongoDB, Vector Databases (Pinecone, ChromaDB)
  • API: REST, GraphQL, AI Model Endpoints
  • Frontend: TypeScript, JavaScript, React, HTML5, CSS3, Jest
  • Mobile: React Native, Capacitor, Apache Cordova
  • Tools: Visual Studio Code, IntelliJ IDEA, Unix, Docker, Postman, Git

To continuously deliver value to our customers, we adhere to the Agile software development best practices. We extensively use Github Project Management, Jira and Confluence tools to track project requirements, plans, and outcomes, ensuring transparency and efficiency throughout the development process.

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Services
Building intelligent user interfaces powered by AI that adapt to user behavior, provide predictive recommendations, and transform static applications into dynamic, personalized experiences using micro-frontend architecture and machine learning models
Designing and implementing AI-powered RESTful APIs that incorporate natural language processing, intelligent data analysis, and automated decision-making capabilities following OpenAPI Specification best practices
Developing comprehensive AI model testing and validation frameworks, including performance monitoring, bias detection, and continuous model evaluation alongside traditional unit, integration, and end-to-end testing
Deploying AI-enabled applications and machine learning models to cloud platforms such as AWS, Google Cloud and Microsoft Azure with seamless integration of AI services and scalable infrastructure for model inference
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Clients
Comerica
SVB
GridDynamics