At Curious Connect, I worked on improving the performance of a resume parser by integrating Redis to speed up data caching and retrieval. This change reduced processing time by 60%, making the system much faster and more efficient. I also added advanced features using the Gemini API, which improved the accuracy of extracting and categorizing candidate profiles to 98%.

I built a scalable system to handle large volumes of resume data, ensuring real-time parsing worked smoothly even during peak traffic. On top of that, I explored and implemented technologies like WebRTC and Selective Forwarding Unit (SFU) to create a media streaming solution that reduced latency by 30%.