Valliappa Lakshmanan (Lak)

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  • Home
  • Books
  • Articles
  • Speaker Bio
  • Talks
  • Courses
  • Research
  • Resume/Vitae
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Speaker Bio (SUGGESTED)

Dr. Valliappa ("Lak") Lakshmanan is co-founder and CTO of Obin AI, a startup that's building deep domain AI agents for finance. He sets the technology and science direction of the company and is responsible for building the product.

​Prior to this, Lak was an operating executive at an investment firm, the Director for Data Analytics and AI Solutions on Google Cloud and a Research Scientist at NOAA. He co-founded Google's Advanced Solutions Lab and is the author of several O'Reilly books and Coursera courses. He was elected a Fellow of the American Meteorological Society (the highest honor offered by the AMS) for his data science work.

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SPEAKER BIO (ALTERNATE)

What does a fintech AI founder, a Google Cloud architect, and a severe weather scientist have in common?

The same question. 
Valliappa Lakshmanan has been asking it his whole career.

Most people pick a domain and go deep. Lak picks a problem and follows it across domains:
1️⃣ At NOAA: National Oceanic & Atmospheric Administration, he applied computer vision to predicting severe weather. The American Meteorological Society made him a Fellow — its highest honor — for that work.
2️⃣ At Google Cloud, he co-founded the Advanced Solutions Lab that seeded the first production-ready machine learning models across many sectors.
3️⃣ At Silver Lake, he crafted AI strategy and oversaw execution for several portfolio companies.

Six O'Reilly books. Google's foundational machine learning courses on Coursera. A Ph.D. in electrical and computer engineering.

The problem that connects all of it:

How do you identify patterns in complexity and build autonomous systems to navigate them?

At Obin AI, backed by Motive Partners, Lak is applying that question to financial services — building deep domain AI agents to solve complex workflow problems that have resisted automation until now.

Come hear a genuinely curious mind explain where AI in financial services is headed. What works today and what challenges remain.

(Thanks to Rick Lake for the best introduction ever)
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