Interests

With a deep-rooted history in the Silicon Valley software industry, I specialized in Java consulting and have now with more time available pivoted to explore applied AI, harnessing the power of OpenAI's APIs to craft state-of-the-art applications and websites.

Expertise in software engineering and architecture is the bedrock of my interests, spanning various technologies and domains. This encompasses creating solutions for notable companies in the tech industry such as Control4, Import.io, and Ericsson.

With over two decades of experience in pivotal roles, I have engineered scalable and robust software solutions, enhanced infrastructures, and developed REST APIs, working with an array of technologies like Java, Javascript, Spring Boot, Redis, Kubernetes, Docker, shell scripting, and AWS services such as S3, Lambda, CloudFront, Route53, DynamoDB, Elastic Beanstalk, EC2.

My interests also include developing mission-critical secure web systems with sophisticated personalization and security features, orchestrating the development of tools to support vital client migrations, and integrating advanced AI functionalities such as ChatGPT and voice control.

At Mindlab, the dedication to leveraging a broad spectrum of experience ensures the delivery of innovative software solutions and infrastructures that perfectly align with the nuanced needs of clients.

AI Property Data Extractor: Revolutionizing Property Search

As an avid user of real estate web sites and a property seeker in Portugal, I experienced firsthand the limitations of traditional property search filters. Recognizing the need for enhanced search capabilities, I was motivated to craft a specialized solution beneficial for both real estate agents and property enthusiasts.

Introducing the AI Property Data Extractor: A groundbreaking tool designed to transform the property data extraction process. Deployed on AWS, this tool is not merely a concept but a functional prototype undergoing real-world application and testing.

Efficient and Intelligent Data Extraction

The AI Property Data Extractor, at its essence, is an API that epitomizes efficiency and accuracy. Users can input any property listing text, bypassing the need to manually fill extensive fields. The API intelligently analyzes the text, meticulously extracting and structuring key property details into a comprehensive, well-formatted JSON output. This advanced feature, currently powered solely by AI, is intended to be augmented with a post-processing layer to assure data consistency and reliability.

Built to Scale and Integrate Seamlessly

The backbone of this extractor is its scalability, powered by a serverless lambda function. This architecture ensures the tool's adaptability to diverse business needs, making it a versatile asset for any organization.

User-Friendly Demo Interface

Prioritizing user experience, a demo wrapper web page accompanies the API. This interface serves as both a demonstration of the tool's capabilities and an example of its seamless integration. It offers users a tangible experience to witness the tool's efficiency and potential in a real-world setting.

Invitation for Demonstrations and Collaborative Opportunities

Passionate about the transformative potential of the AI Property Data Extractor, I am open to showcasing its capabilities and discussing potential collaborations. If you are intrigued by the prospects of enhancing your property search process or if you see synergies with your business model, a demonstration can be arranged to explore the numerous possibilities.

Interested in a live demo or wish to discuss the AI Property Data Extractor further? Feel free to contact me at ivan@mindlab.se.

Recipe Album

recipealbum.com is where technology meets gastronomy, offering a platform to generate AI-crafted recipes, manage personal recipe collections, and explore culinary creations shared by a community of food lovers.

• User Features:
  • User signup for a personalized recipe management experience.
  • Automated signup email communications to engage users from their first interaction.
  • Subscription services powered by Stripe for secure and hassle-free payments.
  • Advanced search functionality to swiftly locate specific recipes.
  • Star rating system to assess and contribute to community feedback on recipes.
• Technology Stack:

  Utilizing a suite of AWS technologies, RecipeAlbum.com delivers a seamless, scalable, and secure experience:

  • Responsive serverless computing with AWS Lambda.
  • Efficient NoSQL data storage with DynamoDB.
  • Scalable file storage solutions with S3.
  • Reliable and managed DNS services with Route53.
  • Rapid content delivery with CloudFront.

Experience the power and flexibility of RecipeAlbum.com for your culinary journey.

Travel Planner

The travel planner demo serves as a foundational project aimed at exploring the capabilities of Google's extensive APIs, specifically the Google Maps and Directions APIs. This demonstration allows users to input destinations and receive directions, showcasing the potential of integrating these powerful tools into a user-friendly interface. The project is designed to provide a clear example of API integration in action, with further enhancements planned for future iterations.

Expanding on this basic setup could transform the travel planner into a comprehensive tool for route planning and journey optimization, incorporating a variety of real-time data and additional criteria to enhance user experience and functionality:

• Real-time Public Transportation Traffic Updates: Incorporate live public transportation in addition to live road traffic updates.
• Weather Considerations: Factor in weather conditions, suggesting optimal travel times or alternative routes to avoid weather-related delays.
• Eco-Friendly Routes: Offer an option to select the most eco-friendly routes, encouraging reduced carbon emissions and supporting environmental sustainability.
• Cost Optimization: Integrate cost analysis features that calculate tolls, fuel consumption, or public transit fares to provide cost-effective travel options.
• Personalized Route Recommendations: Use machine learning to analyze user preferences and past behavior to suggest personalized route recommendations.
• Accessibility Features: Incorporate options for routes that are accessible for people with disabilities, including those that require wheelchair-accessible routes or have other mobility needs.
• Parking Assistance: Include data on parking availability and prices near the destination and along the route, helping drivers plan where they can park.
• Safety Alerts: Provide safety alerts based on destination and route, informing travelers of high-risk areas or current advisories.

The expansion of this travel planner could leverage a wide array of data sources and modern technology features, making it not just a navigation tool but a comprehensive travel assistant tailored to the needs of diverse users. As the application evolves, server-side handling of API requests to secure API keys and other sensitive data, providing a safer and more robust application architecture, will be crucial for maintaining user privacy and security.

Contact

Please feel free to contact me at ivan@mindlab.se.