---
title: "Vaibhav Vaibhav - Software Developer (Backend) in New Delhi | Tal"
description: "Meet Vaibhav Vaibhav, SDE(Backend) @Staqu Technologies || C/C++ || Multimedia || High Performance Systems || Low Latency Systems based in New Delhi. Explore public work links including github."
image: "https://tal.club/meet/vaibhav-vaibhav/share-image"
---

# Vaibhav Vaibhav on Tal

## Headline

SDE\(Backend\) @Staqu Technologies \|\| C/C\+\+ \|\| Multimedia \|\| High Performance Systems \|\| Low Latency Systems

## Location

New Delhi

## Work experience

Software Developer \(Backend\) at Staqu Technologies, Aug 2024 \- Present · 1 yr 10 mos, 1\. Frame Processing & Publishing : Architected a C\+\+20 high\-throughput Frame\-processing pipeline using FFmpeg\(LibAV\) ABIs and lock\-free, zero\-copy data paths, delivering a sustained 10× average FPS increase while cutting system resource usage significantly\. 2\. Output Stream Time Synchronization: Engineered synchronization of LIVE and Recorded video analytics outputs by implementing extended RTP header extensions and patching FFmpeg’s LibAV RTP parser to embed and expose precise temporal metadata, ensuring overall timing alignment in downstream pipeline components\. 3\. RTSP Fallback Mechanism: Developed an automated RTSP fallback mechanism that switches between primary and backup streams based on real\-time availability\. This method achieved increased uptime and reduced downtime by implementing state\-aware process supervision\. 4\. HEVC/H\.265 Integration for Ultra\-HD Streaming: Upgraded streaming server capabilities by incorporating HEVC/H\.265 compatibility, which improves compression efficiency and reduces bandwidth consumption by up to \~50% while providing reliable high bitrate streams delivery\.

Software Developer \(Backend\) Intern at Staqu Technologies, Mar 2024 \- Aug 2024 · 6 mos, 1\. Streaming Protocol Optimization: Optimized streaming by implementing & integrating HLS\-fMP4, reducing server CPU usage by \~40% and increasing concurrent streams by \~35%—all without hardware upgrades\. 2\. Real\-Time Audio Transcoding: Developed a real\-time audio transcoding system converting ALAW, MULAW, and PCM codecs to MP3 and AAC with \~0% CPU impact, ensuring seamless performance and scalable deployment\.

## Education

Bachelor of Technology, Information Technology, kiet group of institutions

## Public links

- github: https://github\.com/Vaibhav\-20022002

[View the original profile](https://tal.club/meet/vaibhav-vaibhav)

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