Siddhant Hittalkeri

Full Stack Developer at CashLab

Developed and deployed 10+ scalable features for CashView.net, a SaaS platform to streamline cash flow management for mid-sized to large businesses across Europe. Engineered reusable Vue.js components, implemented responsive UI, and built/optimized RESTful APIs with .NET 8 and PostgreSQL. Improved performance by 40% and user engagement by 40% through UI/UX improvements. Led real-time banking data ingestion and improved data integrity and security.

Full Stack Developer at CashLab

Worked remotely for CashLab, Paris, France on CashView.net, a SaaS platform for cash flow management targeting mid-sized to large European businesses. Developed and deployed over 10 scalable features using Vue.js, SCSS, .NET 8, and PostgreSQL. Engineered reusable components that reduced front-end development time by 30%, designed responsive user interfaces that increased client engagement by 40%, and optimized backend RESTful APIs improving performance by 40%. Led real-time banking data ingestion API integration, enhancing data integrity and platform security while supporting a 25% increase in transaction volume.

Full Stack Developer Intern at BM Surface Systems GmbH

Worked on internal management tools (HR, desk allocation, plant overview), built scalable front-end and back-end modules using .NET and JavaScript, integrated RESTful APIs for cross-platform communication and mobile integration, optimized backend workflows for real-time desk allocation, automated SVG-based visuals, and refined SQL queries to improve data retrieval.

Full Stack Developer Intern at BM Surface Systems GmbH

Interned at BM Surface Systems GmbH in Belagavi, Karnataka working on internal management tools including HR and desk allocation platforms, and client-based plant overview projects. Utilized HTML, CSS, JavaScript, C# .NET 5+, MS SQL, Azure, Bootstrap, and Syncfusion to build scalable front-end and back-end modules increasing workflow efficiency by 60%. Developed RESTful APIs for cross-platform communication, automated SVG-based plant visuals reducing delivery time by 70%, and optimized SQL queries boosting data retrieval by 25%.