Introduction
I built this TimeSlots — Social Networking with the goal of helping users meet new people nearby using AI-powered recommendations. I built the back end in C# and .NET, implementing user authentication, geolocation services, intelligent match-making logic, and real-time chat APIs. The architecture supported horizontal scaling and was optimized for low-latency social interactions, ensuring a smooth and responsive experience for end users.
The Challenge & Solution
As the lead Senior Software Engineer, I steered the technical direction, defining system boundaries and ensuring the solution adhered to best practices in distributed systems design. The mobile experience was designed with a mobile-first philosophy, ensuring intuitive navigation and performance on constrained devices. Artificial Intelligence algorithms were integrated to personalize user experiences and optimize decision-making engines. Building for social interaction meant prioritizing low-latency messaging and scalable graph relationships.
Technologies & Architecture
We utilized C#, SignalR, PostgreSQL, Redis to construct the solution. C# served as the reliable backbone, offering strong typing and a rich standard library for complex business logic. SignalR played a crucial role in our technology stack. PostgreSQL offered the reliability and advanced querying capabilities needed for our structured data. Redis was utilized as a high-performance caching layer to offload database pressure and speed up read operations.
Key Highlights
- AI‑based suggestions
- Realtime chat
- Privacy controls
Impact
This project not only met its initial requirements but also laid the groundwork for future scalability. TimeSlots — Social Networking with AI-powered recommendations.