Author & Performance Engineering Leader · IEEE AI Contributor · Gatling Master
Over 20 years at the intersection of AI/ML, performance engineering, and quality assurance. Author · Inventor · IEEE AI Policy Contributor · Gatling Master · Past: Adobe · Veeva Systems · LogMeIn · Citrix.
The hands-on engineering guide to reliable AI agents, not just demos — build, secure, evaluate, optimize, deploy. Write the agent loop by hand, then MCP servers and clients, multi-agent teams, context and memory, security and identity, evaluation, AgentOps and deployment.
The complete practitioner’s guide to making AI systems faster, leaner, and more efficient. 30 chapters: roofline model, CUDA, PyTorch profiling, quantization, KV caching, FlashAttention, speculative decoding, vLLM, and production serving.
An unflinching examination of what happens after the last invention humanity ever needs to make. 15 chapters on ASI, AI safety, governance, ethics, healthcare, education, economics, agent swarms, and the open-weight dilemma. Grounded in 2025–2026 events.
A practitioner’s guide to building testing pipelines that learn, adapt, and catch defects that rule-based systems miss. 18 chapters: self-healing automation, predictive testing, AI in CI/CD, defect prediction, test scaling, and the future of QE.
Srinivasa Rao Bittla is a seasoned technology leader with over twenty years of expertise at the intersection of AI/ML, performance engineering, and quality assurance. He has held senior roles across performance engineering, AI/ML, and quality assurance at some of the world's leading technology companies.
Past experience includes Adobe, Veeva Systems, LogMeIn, Citrix, and founding Zest Bittla IT Solutions where he mentored 10,000+ professionals. Multiple patents in AI-enabled predictive analytics and blockchain security. Past IEEE AI policy contributor.
Recognized as a Gatling Master and keynote speaker at AI testing conferences.
His newest book, Building Agentic AI Systems, takes readers from a first agent to MCP, multi-agent orchestration and production, with 231 exercises in a free, open course kit.
Srinivasa Rao Bittla (Srini Bittla) is a technology leader with over 20 years of expertise in AI/ML, performance engineering, and quality assurance. He is currently Lead Performance Engineer at Adobe, supporting hundreds of enterprise clients globally. He is the author of four books: Building Agentic AI Systems (2026), AI Performance Engineering (Amazon KDP, 2026), The Last Invention (Revised Edition 2026), and AI-Driven Software Testing (Apress/Springer Nature, 2025). He holds multiple patents, contributes to IEEE AI policy, and has been recognized with the Symphony Hall of Fame, Adobe Team Excellence, Stevie Gold, Noble Gold, Titan Gold, and Gatling Master awards.
Srinivasa Rao Bittla has written four books: (1) Building Agentic AI Systems: From First Agent to MCP, Multi-Agent Orchestration, and Production (2026) — 31 chapters, 5 interludes, 231 exercises with solutions and 6 capstone projects on tool calling, the agent loop, MCP servers and clients, multi-agent orchestration, context engineering, memory, security, evaluation and deployment, with a free course kit at github.com/sbittla/building-agentic-ai. (2) AI Performance Engineering: From GPU Kernels to LLM Inference (Amazon KDP, 2026) — 30 chapters on GPU profiling, PyTorch optimization, LLM inference, quantization, FlashAttention, speculative decoding, vLLM, and production serving. ISBN: 979-8-1986-9248-0. (3) The Last Invention: How Artificial Superintelligence Will Redefine Life (Revised Edition 2026) — 15 chapters on ASI, AI safety, governance, ethics, economics, and how to prepare. (4) AI-Driven Software Testing: Transforming Software Testing with Artificial Intelligence and Machine Learning (Apress/Springer Nature, 2025) — 18 chapters on self-healing automation, predictive testing, AI in CI/CD, defect prediction, and the future of QE. ISBN: 979-8-8688-1828-8.
All four books are available on Amazon worldwide — US, UK, India, Germany, Canada, Australia, Japan, France, Spain, Italy, Netherlands, Singapore, UAE, and more; the course kit for Building Agentic AI Systems is also free on GitHub. AI-Driven Software Testing is also available as an eBook directly from Springer Nature at link.springer.com. The interactive book companions let you ask questions from each book before purchasing.
Each book has a free AI-powered interactive companion hosted on Claude.ai. You can ask any question from the book's content — about AI agents and MCP, GPU performance, LLM inference, AI testing strategies, artificial superintelligence, or anything else covered — and receive an answer grounded in the specific chapter with a citation. The companion uses Claude AI to answer and falls back to local keyword matching when offline. Access all four companions from the navigation links above.