Three platforms. Different constraints. Outcomes tied to the systems that delivered them.
Walmart 2024 to present
Serving models. Scaling search.
Migrated Search from single-tenant clusters to secure, multi-tenant Kubernetes model serving across locales.
Java
Python
Kubernetes
GCP
25%
lower inference latency
99.9%
platform availability
Supporting hundreds of millions of daily search queries.
Explore the engineering
Platform challenge
Move single-tenant Search clusters to shared model-serving infrastructure across tenants and locales.
My contribution
Designed multi-tier inference routing between low-latency cache serving and deep model execution, with query routing and failover across environments.
Beyond the migration
Built query normalization and tokenization adopted across Search teams, and established architecture governance and distributed systems training.
PayPal 2023 to 2024
Financial risk. Faster decisions.
Engineered a GCP reporting platform for fraud detection and chargeback analytics, then modernized the data workflows behind it.
Java
GCP
DynamoDB
Databricks
10M+
daily transactions processed
30%
lower operational costs
Fraud and chargeback analytics for merchant systems.
Explore the engineering
Platform challenge
Support high-volume risk analytics while modernizing legacy data workflows and improving feature delivery.
My contribution
Built the financial risk reporting platform, orchestrated Databricks analytics, and migrated core RDBMS workflows to DynamoDB.
Additional outcomes
Analytics efficiency improved by 30%. ORM-based data-layer modernization reduced the feature-to-production lifecycle by 50%.
IBM 2016 to 2019
Global infrastructure. Operational clarity.
Led a team of 10 engineers running monitoring and alerting for IBM Cloud across 50+ data centers and 10,000 servers.
Kafka
Elasticsearch
Grafana
Java
99.99%
uptime maintained
$3M+
infrastructure cost reductions
A logging pipeline ingesting 500 TB each day.
Explore the engineering
Platform challenge
Maintain visibility and reliable operations across a global cloud infrastructure footprint.
My contribution
Led monitoring with Icinga, Grafana, and PagerDuty. Built a logging pipeline using Logstash, Kafka, Elasticsearch, and Kibana that informed infrastructure cost reductions.
Operational ownership
Led the cross-functional engineering team and served as the subject-matter expert for L1 escalations on a 15-minute SLA.
02 / Career
A wider scope with every role
From secure applications to global infrastructure, developer platforms, and ML serving. Technical leadership grounded in operating the systems I build.
2024 to presentWalmartStaff Software Engineer
2023 to 2024PayPalStaff Software Engineer
2019 to 2023FordSenior Software Engineer
2016 to 2019IBMSoftware Engineer / Team Lead
2015MicrosoftService Engineer Intern
2012 to 2014InfosysSenior Systems Engineer
MS in Computer Science, UT Dallas. MBA, University of Illinois Urbana-Champaign.