Principal‑level technical leader for Visa’s enterprise GenAI platform, defining architecture, scaling production LLM infrastructure, and enabling company‑wide AI adoption across cloud and on‑prem environments.

1. Owned end‑to‑end architecture and technical direction for Visa’s GenAI Model Service, evolving it from MVP to a production‑grade, multi‑tenant platform supporting authentication, rate limiting, safety guardrails, vendor‑compatible APIs, image understanding, web search, evaluation framework, async‑native microservices. Delivered high‑availability systems handling millions of requests and hundreds of billions of tokens; enabling high‑throughput AI workloads processing tens of millions of records.

2. Drove org‑wide GenAI adoption at scale: Enabled hundreds of production applications and hundreds of internal teams; Led GenAI infrastructure for company‑wide annual hackathons (since 2024)

3. Defined and executed distributed LLM serving strategy, productionizing on‑prem and open‑source models using Ray and vLLM;

4. Acted as a force multiplier across org boundaries, partnering with Security, Infrastructure, Release Engineering teams to resolve ambiguity, unblock execution, and meet compliance at scale.

5. Mentored and grew senior engineers into independent owners, transferring full project ownership and raising the overall technical bar; recognized with multiple Visa Leadership awards.

Built stream processing platform to power mission critical real-time security applications. This platform handles exabytes of data from tens of thousands of customers across different geo-regions. It enables third party applications to consume data in the data lake.

Built automation around job deployment, management, diagnosis, auto recovery to scale the platform.

Skill set: Google Cloud Platform, Dataflow, Apache Kafka, Apache Beam, Kubernetes, Prometheus, Loki.

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Built (internet-scale) products for LinkedIn users, customers and internal employees to create economic opportunity for every member of the global workforce, and make them more productive and successful:

1) Built LinkedIn's first generation A/B testing platform that serves hundreds of product managers and data scientists;

2) Led the POC and engineering design of company insights product which leveraged unique LinkedIn data to generate valuable insights for company researchers and job seekers

3) Developed and implemented an algorithm to identify potential companies based on LinkedIn members’ profiles which are not associated with a standardized company; This work increased the member association coverage by 20%;

4) Developed data pipelines and mid-tier API services to build company page analytics page that serves hundreds of thousands company page admins;

5) Led full-cycle development of all the features of "Jobs at company pages product" end-to-end (product spec decision, tracking ecosystem; relevance improvement, backend/API/Client implementation). Average 35% increase of job views and job applications across all clients;

6) Led full-cycle development of realtime recruiter usage analytics product; Oversaw and review all reporting products of LinkedIn’s Talent Solution org. Those products serve hundreds of thousands paying customers;

7) Led the development to deliver emails to job posters that drives big job posting revenue;

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Played a key role in designing and building scalable data warehouse on cloud and analytics products out of large-scale data set. Gained solid domain knowledge in display ads ecosystem.

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