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Isha Rani

Microsoft Head of Engineering | AI Systems and Platform Leader | AI/ML, GenAI, Edge AI, Distributed Systems | From Models to Silicon | AI Safety, Security, AI Performance, Memory & Power Optimizations

TechIndiaHyderabad, Telangana, IndiaView on LinkedIn

Followers

105,261

Typical engagement per post

18

Average comments per post

32

How often they post

Every 7 weeks

Profile figures as of October 2026.

About

Business-focused, outcome-driven Engineering and Product Executive with 24+ years of experience.Expertise spans AI Safety, Security and Compliance for AI, Cloud Security and Edge AI Security [Model, Infra, Tokens] implementing Generative AI, Machine Learning, Big Data, SaaS platforms, Edge AI, Fundamentals and with a strong focus on building production-grade systems that balance performance, scalability, security, and compliance.At Microsoft, I have led initiatives at the intersection of AI (Copilot, AI Agents), security, and compliance—helping scale Responsible AI and enterprise trust across global markets. Currently leading end-to-end AI systems engineering across software and silicon, focusing on performance, latency, memory, power efficiency, reliability, and security.Core strengths include:1. Securing AI• AI Safety [JailBreak, Prompt Injection, Indirect prompt injection, RAG Poisoning, Training Data Poisoning, Excessive Agency, Model Weight Theft, Token Security, Model Evals, AI Features Evals], Security, Privacy, and Compliance, RAI - Guardrails from Security and Compliance Attacks - AI Security Incident Response Management - Red Teaming of AI Features, Non-AI Features, Auto-Bugging, Agentic AI Solutioning, Graph Response Management - Cloud AI Security and Compliance including the API Layer Security and Compliance2. Optimizing AI - Edge AI Optimizations - Hardware-aware optimization (CPU, GPU, NPU, SoCs) - Performance engineering (latency, memory, power optimization)3. Building Native-AI - AI/ML & Generative AI platforms (LLMs, applied AI systems) - ML Models, Training, Re-training, Inference Infrastructure - Distributed systems & large-scale data platformsProven track record of:• Building and scaling and securing AI platforms used by Fortune 500 enterprises and hundreds of millions of users  • Driving 0→1 and 1→N product growth with measurable business impact (adoption, engagement, revenue)  • Leading cross-functional, global teams (200+), aligning engineering, product, research, compliance, and go-to-market  I specialize in bridging:AI models → real-world workloads → system constraints [Power, Performance, Memory, Security, Compliance, Reliability] → scalable production systemsKnown for turning complex, high-risk technology areas into clear, customer-backed strategies and high-impact outcomes.Active in executive forums, advisory discussions, and industry conversations on AI, systems, devices, and security. Advise startups occasionally in AI and deep tech.

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