CURRENT LEADERSHIP01
ModMedHealthcare technology
Data platforms
that enable AI.
Leading data platform engineering across cloud modernization, healthcare analytics, governance, and AI-ready data systems.
Explore my experienceENTERPRISE AI. DATA PLATFORMS. LEADERSHIP.
From data
to enterprise AI.
Hi, I’m Sharan Senthilvasan.
My work connects enterprise AI with the engineering it depends on: trusted data, usable platforms, and teams that can bring both into practice.
Director, Data Platform Engineering at ModMed
MY FOCUS
Enterprise AI.
Engineered on trust.
START HERE
A few ways into my work.
01 / MY FOCUS
Enterprise AI
Governed data, conversational analytics, and the platforms behind useful AI.
Explore my focus 02 / INVENTIONPatented work
The problem, methods, and co-inventor attribution behind my patented work.
Understand the invention 03 / PUBLIC SOURCESProfessional record
Speaking, technical credentials, and professional community, linked to sources.
Browse the records 04 / MY JOURNEYThe story so far
From financial-services engineering to healthcare data and AI enablement.
Get to know my background01 / MY STORY
My path to
enterprise AI.
The industry changed. The importance of trusted data stayed with me.
My career has taken me through financial-services technology at Oracle, audience measurement at Nielsen, and healthcare technology at ModMed. Each chapter has brought different problems and a deeper appreciation for the engineering behind a reliable answer.
At Nielsen, that work included becoming a named co-inventor on patented methods for resolving conflicts in automated content recognition data.
Today, as Director of Data Platform Engineering at ModMed, I connect enterprise data strategy with cloud modernization, governance, analytics, and AI enablement. My focus is on the data foundations and engineering teams that help AI become useful in practice.
View my professional background- CHAPTER 01
Oracle
Financial servicesA foundation in enterprise engineering and complex business data.
- CHAPTER 02
Nielsen
Audience measurementData engineering leadership and patented viewing-data conflict-resolution methods.
- CHAPTER 03
ModMed
Healthcare & AI enablementGoverned data platforms, conversational analytics, and the foundations for enterprise AI.
INVENTIONNamed co-inventorTwo U.S. grants in one patent family
CURRENT FOCUSEnterprise AI enablementGoverned data, platforms, and analytics
EDUCATIONUniversity of South FloridaM.S. in Information Systems
PROFESSIONAL FOCUS
Enterprise Data Platforms for Regulated Measurement-Critical Systems, Specializing in Automation, Governance and AI Enablement
02 / AI & PLATFORM EXPERTISE
The engineering
behind useful AI.
AI applications need reliable data, clear access boundaries, and an operating model that supports real use.
Explore an area of focus01Enterprise AI enablement
Connecting AI ambitions to the data and platform capabilities they depend on: usable enterprise data, governed access, and a path from experimentation to production.
02Conversational & AI analytics
Moving beyond static reporting toward self-service and natural-language analytics. My focus is the trusted data foundation and shared business definitions behind a useful answer.
03Governance & privacy for AI
Building access controls, stewardship, de-identification, and privacy-preserving approaches into the data platform, with particular attention to healthcare data.
04Data platforms & automation
Cloud modernization, lakehouse architecture, and incremental data processing. Reliable pipelines and reusable data models support analytics today and AI applications as needs evolve.
05Data & AI engineering leadership
Leading global engineering teams and clarifying responsibilities across data, analytics, and AI. Aligning architecture, delivery priorities, and team development with the business.
03 / SELECTED WORK
Experience with
a public record.
Current platform leadership,
patented methods, and industry speaking.
Data platforms
PATENTED METHODS02
One patent familyTwo U.S. grants · 2024 & 2025
Resolving conflicts
in viewing data.
Named co-inventor on methods for editing overlapping or conflicting automated content recognition tuning events before audience-measurement processing.
Explore the patented workINDUSTRY SPEAKING03
Data + AISUMMIT 2026
From reports
to conversations.
Listed speaker for “From Reports to Conversations: ModMed’s Lakehouse + AI Analytics Journey,” focused on governed, conversational healthcare analytics.
View the conference listingPATENTED WORK / NIELSEN
Data quality before
the measurement.
Methods, articles of manufacture, and apparatus to edit tuning data collected via automated content recognition
The problem
Viewing-event data can contain overlapping or conflicting intervals. Those conflicts need to be resolved before the data is used to credit media viewing.
The patented approach
The methods describe identifying conflicts, creating or modifying tuning events according to defined criteria, and crediting media using the edited data.
My attribution
I am one of nine named co-inventors. The two granted U.S. patents belong to the same invention family, assigned to Nielsen.
04 / PUBLIC PROFESSIONAL RECORD
The work.
The sources.
Public records for invention, speaking,
technical credentials, and professional community.
ACR data-quality & conflict-resolution methods
Two U.S. grants in one patent family. Both records name Sharan Senthilvasan among the co-inventors.
Data + AI Summit 2026
From Reports to Conversations: ModMed’s Lakehouse + AI Analytics Journey.
Databricks Certified Generative AI Engineer Associate
A professional certification in generative AI engineering, listed in my Databricks credential wallet.
Forbes Technology Council
Member profile covering my data platform leadership, technical background, and enterprise AI enablement focus.
05 / CONNECT
A useful conversation
starts with hello.
Connect with me about enterprise AI, healthcare analytics, engineering leadership, or an industry speaking invitation.
Say hello on LinkedInFind me on Forbes Technology Council
Boca Raton, Florida · Working across teams and time zones