Rajneesh Rj Mahajan

About Rajneesh Rj Mahajan

I’m a technology executive with 20+ years of experience building AI platforms and infrastructure that convert breakthrough research into reliable, global-scale systems. My focus is on making AI usable at scale—bridging the gap between evolving model capabilities and resilient, production-grade experiences.At Meta, I lead the unified AI product infrastructure across the Family of Apps and Smart Glasses, powering agentic, multimodal, real-time AI experiences for over 1 billion users. My teams design and operate platform layers and inference delivery systems that accelerate speed-to-market, cut engineering costs by over 10x, and meet extreme performance demands with rigor and reliability.Previously, I led the multi-year unification of Meta’s conversational AI and RTC platforms, replacing fragmented legacy stacks with a real-time, high-concurrency architecture. This transformation reduced development cycles from months to weeks, enabled Meta to scale while saving engineering cost and established the real-time streaming and orchestration foundation required for low-latency multimodal AI systems at global scale.Across Meta, Amazon, and Microsoft, I’ve built and scaled global organizations of 170+ engineers, transforming cultures while delivering durable, platform-level impact. I lead with clarity and trust—balancing aggressive innovation with the operational discipline needed to build what lasts.What drives me is not just what we build, but how we scale it—through resilient systems, empowered teams, and thoughtful partnerships that multiply value across the company.Let’s connect if you’re building at the edge of AI or just want to make it real, reliable, and ready for the world.

Experience

1. Director of Engineering, Ai Product Platform

   Meta

   Jan 2024 — Present · Bellevue, WA, US

   AI PLATFORM ARCHITECTURE AT SCALE- Led the architectural unification of Meta’s AI product stack across the Family of Apps (Facebook, Instagram, WhatsApp, Messenger) during a period of rapid model and capability evolution. Designed a standardized AI platform layer, inference delivery middleware, and automated evaluation frameworks that eliminated systemic bottlenecks and enabled safe, repeatable deployment of agentic AI capabilities across 40+ high-impact product scenarios. Reduced engineering overhead by ~90% and significantly accelerated the deployment of frontier model capabilities into production systems serving billions of users worldwide.

Education

• Virginia Tech

  MS, Computer Engineering

  2000 — 2002

• Visvesvaraya National Institute of Technology

  Bacheclor of Engineering, Electronics Engineering

  1994 — 1998

Skills

• Ssl
• Amazon Web Services (Aws)
• Software Project Management
• Cloud Computing
• Agile Methodologies
• Ios Development
• Emv
• Security
• Personnel Management
• Streaming Media
• Windows Remote Desktop
• Payment Systems
• Terminal Services
• Rackspace Cloud
• Multimedia
• Windows Azure
• Windows
• C#
• Multithreading
• H.264
• Adaptive Streaming
• Virtualization
• Network Security
• Rdp
• Debugging
• System Architecture
• Project Management
• Technical Leadership
• Distributed Systems
• Kernel
• Tcp/Ip
• Socket Programming
• Scalability
• Udp
• Software Engineering
• Audio
• Algorithms
• Software Design
• Tcp
• Object Oriented Design