# bittla.me — Srinivasa Rao Bittla

> Official site of Srinivasa Rao Bittla (Srini Bittla), Lead Performance Engineer at Adobe and author of seven books on AI infrastructure, AI-driven chaos engineering, forward deployed engineering, agentic AI systems, AI performance engineering, artificial superintelligence and AI-driven software testing. Each book has an "Ask the Book" page with a chapter-by-chapter summary, FAQs and an AI reader companion.

Srinivasa Rao Bittla (Srini Bittla) is Lead Performance Engineer at Adobe, with more than 20 years in AI/ML, performance engineering and quality assurance. Earlier roles: Veeva Systems, LogMeIn and Citrix; founder of Zest Bittla IT Solutions, where he mentored more than 10,000 professionals. He holds patents in AI-enabled predictive analytics and blockchain security, is a past IEEE AI policy contributor, a Gatling Master and a keynote speaker at AI testing conferences. Recognitions: Symphony Hall of Fame, Adobe Team Excellence, Stevie Gold, Noble Gold and Titan Gold.

## Books (newest first)

- [AI Infrastructure Engineering: Designing, Building, and Operating GPU Clusters, High-Speed Networks, Distributed Training, and LLM Inference at Scale](https://bittla.me/ask-ai-infrastructure-engineering.html): First edition, 2026 (concise edition). 24 chapters in six parts: GPU servers and AI data centers, Linux host diagnostics, GPU architecture and interconnects, Ethernet, RDMA, RoCEv2 and InfiniBand fabrics, congestion control, NCCL and distributed training, storage and checkpointing, LLM inference serving, fleet operations, Kubernetes and Slurm, observability, security, automation, capacity and economics. Companion repository: a lab for every chapter, 484 exercises, 8 capstones. Running example: ORION, an illustrative 256-GPU reference cluster. ISBN 979-8-1676-7954-2 (paperback), 979-8-1676-7976-4 (hardcover). Buy: https://www.amazon.com/dp/B0HQN77F9Y/ Code: https://github.com/sbittla/network-compute-engineer-ai-infra
- [AI-Driven Chaos Engineering: Breaking Cloud Infrastructure and Applications on Purpose, with Prompts, Guardrails, and Evidence](https://bittla.me/ask-ai-driven-chaos-engineering.html): First edition, 2026. 26 chapters in seven parts and 76 labs: AI assistants design, validate and analyze chaos experiments (never execute them) behind a safety contract, validators, opt-in flags and a kill switch; the same discipline applied to GPU training, LLM inference, RAG, agents and guardrails. Kubernetes, AWS FIS and Chaos Mesh; Azure and Google Cloud notes. Case study: Kestrel. ISBN 979-8-1663-3199-1 (paperback), 979-8-1663-3224-0 (hardcover). Buy: https://www.amazon.com/dp/B0HPS8RDVL/ Code: https://github.com/sbittla/chaos-engineering
- [The Forward Deployed Engineer: A Practical Course in Shipping AI Systems Inside the Customer's World](https://bittla.me/ask-the-forward-deployed-engineer.html): First edition, October 2026. 17 chapters in five parts: the FDE role, discovery and scoping, business cases, technical communication, production Python, enterprise integration, data and full-stack engineering, prompt engineering, LLM applications, RAG, AI agents, LLM evaluation, AI security and guardrails, LLMOps and SRE, productization, delivery leadership and FDE careers and interviews. Companion repository: 100 exercises and 6 capstone engagements that run offline. Buy: https://www.amazon.com/dp/B0HNTXT81X/ Code: https://github.com/sbittla/forward-deployment-engineer
- [Building Agentic AI Systems: From First Agent to MCP, Multi-Agent Orchestration, and Production](https://bittla.me/ask-building-agentic-ai-systems.html): First edition, 2026 (second printing October 2026). 31 chapters, 6 interludes, 246 exercises with solutions, 6 capstones and a production case study: tool calling, the agent loop, MCP servers and clients, multi-agent orchestration, context engineering, memory, agentic RAG, long-running agents, security, identity, evaluation, AgentOps, performance, cost and deployment. Runs with Claude or a free local model. ISBN 979-8-1775-0632-6 (paperback), 979-8-1775-1473-4 (hardcover). Buy: https://www.amazon.com/dp/B0HL7DBZCZ/ Code: https://github.com/sbittla/building-agentic-ai
- [AI Performance Engineering: From GPU Kernels to LLM Inference](https://bittla.me/ask-ai-performance-engineering.html): Amazon KDP, 2026. 30 chapters in 9 parts: the roofline model, CUDA execution, GPU profiling with Nsight and torch.profiler, PyTorch optimization, quantization, KV caching, batching, FlashAttention, speculative decoding, vLLM, distributed inference and training, accelerators beyond NVIDIA, Triton kernels and production serving. ISBN 979-8-1986-9248-0 (paperback), 979-8-1806-1131-4 (hardcover). Buy: https://www.amazon.com/dp/B0H4X6QWR1/ Code: https://github.com/sbittla/ai-perf-engineering-book
- [The Last Invention: How Artificial Superintelligence Will Redefine Life](https://bittla.me/ask-the-last-invention.html): Revised edition, 2026. 15 chapters on artificial superintelligence: capabilities, agent swarms, AI safety and documented deception, the open-weight dilemma, governance, ethics, healthcare, education, the AI economy, chips and power, human-AI integration, how to prepare, and the debate between camps. Buy: https://www.amazon.com/dp/B0F78PJZ9W
- [AI-Driven Software Testing: Transforming Software Testing with Artificial Intelligence and Machine Learning](https://bittla.me/ask-ai-driven-software-testing.html): Apress / Springer Nature, 2025. 18 chapters: AI and ML in quality engineering, self-healing automation, AI test planning and generation, test data and environments, defect prediction and management, coverage gaps, scaling and load testing, AI in CI/CD, real-time monitoring, failure prediction and an adoption roadmap. Also at link.springer.com/book/10.1007/979-8-8688-1829-5. ISBN 979-8-8688-1828-8 (print), 979-8-8688-1829-5 (eBook). Buy: https://www.amazon.com/AI-Driven-Software-Testing-Transforming-Intelligence/dp/B0FGJ3QCS4/

## Interactive reader companions (Claude)

- [Ask AI Infrastructure Engineering](https://claude.ai/artifact/VR8MTW7niy9nPdCorsYTAk): answers questions from the book with chapter citations
- [Ask AI-Driven Chaos Engineering](https://claude.ai/artifact/NktBWk2XXJR6zMPWMYJtan): answers questions from the book with chapter citations
- [Ask The Forward Deployed Engineer](https://claude.ai/artifact/UZpX3qZi7k87gkVhfwy23P): answers questions from the book with chapter citations
- [Ask Building Agentic AI Systems](https://claude.ai/artifact/1yiTvZymc91oWCR2F6ReTK): answers questions from the book with chapter citations
- [Ask AI Performance Engineering](https://claude.ai/artifact/Ub7kUiBpkjfjgAjtRxkyP4): answers questions from the book with chapter citations
- [Ask The Last Invention](https://claude.ai/artifact/FEoYK9zvHndNQPrg9koQsG): answers questions from the book with chapter citations
- [Ask AI-Driven Software Testing](https://claude.ai/artifact/9MNgE8WYunRPr5UbWXDkbw): answers questions from the book with chapter citations

## Author profiles

- [LinkedIn](https://www.linkedin.com/in/bittla/)
- [GitHub](https://github.com/sbittla)
- [Amazon Author Page](https://www.amazon.com/stores/Srinivasa-Rao-Bittla/author/B0HKF3WP5F)
- [Goodreads](https://www.goodreads.com/author/show/56094666.Srinivasa_Rao_Bittla)

## Optional

- [Full text summary for AI tools](https://bittla.me/llms-full.txt): every book with its chapter list and key takeaways
- [Sitemap](https://bittla.me/sitemap.xml)