SinalyticaBuilding intelligent systems that bridge cutting-edge AI with real-world applications

Sinalytica

Sinalytica is an interactive 3D portfolio platform showcasing the work of Sina Rajaeeian, a Software Engineer and Machine Learning master's student at KTH Royal Institute of Technology. The platform demonstrates expertise across AI/ML systems, full-stack web and mobile applications, and quantitative finance tools through immersive, visually compelling experiences.

Product Highlights

• Interactive 3D Portfolio: Explore projects through engaging three-dimensional interfaces powered by Three.js
• AI/ML Integration: Showcases production-quality machine learning and deep learning applications with clean architecture
• Full-Stack Demonstrations: Features end-to-end web and mobile applications built with React, TypeScript, Node.js, and Python
• Quantitative Finance Tools: Displays sophisticated financial modeling and data-intensive systems for real-world impact
• Performance-First Design: Delivers fast, responsive, and visually stunning user experiences across all devices

Use Cases

• Tech Recruitment: Hiring managers and recruiters can evaluate Sina's technical capabilities through interactive project demonstrations
• Academic Collaboration: Researchers and students can explore AI/ML research tools and discuss potential partnerships
• Client Portfolio Review: Potential clients can assess software engineering quality and design sensibility before engagement
• Industry Networking: Technology professionals can discover expertise in emerging fields like 3D web and quantitative finance

Target Audience

Sinalytica is designed for technology recruiters, hiring managers at AI/ML and fintech companies, academic researchers seeking collaborators, and potential clients looking for experienced full-stack developers with specialized quantitative and machine learning skills.