Hi, I'm Brindha Jeyaraman - AI Leadership | Enterprise AI Engineering, Ops & Governance | Doctor of Engineering (Temporal Knowledge Graphs) | Architecting & Scaling Production-Grade AI | Ex-Google, MAS, A*STAR | Author | Top 50 Asia Women in Tech
I engineer enterprise AI and data solutions, driven by a passion for bringing complex concepts into production reliably and responsibly. I thrive on defining engineering standards in high-stakes environments and translating technical capabilities into measurable business outcomes.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Authored four influential books on LLMOps, Observability, and Real-Time Streaming, serving as industry blueprints.
Engineering enterprise-scale AI, data, and real-time streaming solutions, focusing on productionization and AI governance.
Can help others by providing guidance on operationalizing LLMs and embedding AI governance into technical pipelines.
🚀 Career trajectory
Foundational Engineering Leader
Spent 18+ years engineering enterprise-scale AI, data, and real-time streaming solutions, hands-on across the AI lifecycle from architecture to deployment.
✦ Enterprise AI
✦ Data Engineering
✦ Real-Time Streaming
AI Governance & Productionization
Currently leading AI governance and operationalizing LLMs, focusing on compliance and deployment reliability in high-stakes financial environments.
✦ AI Governance
✦ LLMOps
✦ Production AI
Thought Leader & Author
Authored industry-leading books and published research, sharing expertise in AI, LLMOps, and data systems.
✦ Technical Author
✦ Research
✦ AI Strategy
💪🏻 Superpowers
Production AI & LLMOps Architect
Bridging AI theory with production reality for resilient systems.
✦ Designs and deploys scalable AI, data, and real-time streaming platforms.
✦ Expert in LLMOps, focusing on observability and last-mile deployment.
✦ Ensures AI systems are compliant, scalable, and resilient in finance.
Governance-by-Design Advocate
Embedding responsible AI principles into technical foundations.
✦ Integrates FEAT, PDPA, and EU AI Act into ML pipelines.
✦ Transforms 'responsible AI' from policy to a technical feature.
✦ Ensures trustworthy and automated finance infrastructure.
Technical Author & Educator
Democratizing advanced AI knowledge through practical blueprints.
✦ Authored four influential books on LLMOps, Observability, and ML.
✦ Serves as a foundational resource for industry engineering practices.
✦ Translates complex AI concepts for broad technical understanding.
I'm excited about
✦ Connecting with peers to explore novel AI governance frameworks.
✦ Discovering innovative approaches to real-time data processing.
✦ Finding collaborators for next-generation LLM application development.
I can help with
✦ Share best practices for engineering compliant and scalable AI systems.
✦ Provide guidance on operationalizing LLMs and ensuring deployment reliability.
✦ Offer insights into embedding AI governance directly into technical pipelines.
I would love your help on
✦ Identifying emerging research in explainable AI for financial markets.
✦ Connecting with leaders in ethical AI implementation globally.
✦ Exploring advanced architectures for decentralized AI systems.
