
Building the future of AI video intelligence at Aptibit Technologies. Architect of Visylix, the platform handling 1M+ concurrent streams with 12 self learning AI models and the industry's first conversational AI copilot.
With 15+ years of industry experience spanning enterprise software, computer vision, real time streaming systems, and AI infrastructure, Falguni has led engineering teams across fintech, surveillance, and SaaS before founding Aptibit in 2024. He holds deep expertise in low level systems programming, distributed architectures, and building AI products that operate at massive scale without cloud dependency.
The technical domains behind an enterprise AI video management platform that handles millions of streams with self learning intelligence.
Designed 12 AI models that auto calibrate to each camera environment, reducing false positives by 60 to 80 percent in the first week.
Face recognition, ANPR, person tracking, crowd detection, PPE monitoring, and heat maps running in real time across thousands of cameras.
Architected a purpose-built native streaming engine from scratch, optimized for 1M+ concurrent connections with minimal CPU and memory overhead.
Deep expertise in WebRTC, RTSP, RTMP, HLS, SRT, HTTP FLV, and ONVIF. Sub 500ms latency for real time video delivery.
Built Visylix to run 100% on premise with zero cloud dependency. Air gap compatible for defense, government, and critical infrastructure.
Created the industry first conversational AI for VMS. Purpose built language model with 22 tools running entirely on premise.
Deep dives into AI video analytics, streaming architecture, VMS technology, and the future of intelligent video management.
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