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.