Architecting predictive AI for transaction integrity at global scale.

Predictive & Proactive AI

LSTM temporal modeling, multi-armed bandits, ranking and behavior-prediction models, RAG systems, LangChain, feature stores.

Distributed Systems

Java, Spring Boot, microservices, Kafka, Elasticsearch, and REST, powering high-throughput architectures in regulated environments.

Full-Stack Engineering

React, Redux, TypeScript, and Node.js, building authoring tools and complex UI architecture for global teams.

Cloud & Data Platforms

AWS (Lambda, S3, EC2), Docker, CI/CD with GitHub Actions and Jenkins, BigQuery, Oracle, MySQL.

Observability & Quality

Datadog, structured logging, distributed tracing, performance tuning, A/B testing at production scale.

Architecture Leadership

Architecture reviews, technical direction, cross-functional alignment, mentoring across UI, service, and ML layers.

1. 2021 – Present

   Senior Software Engineer, AI Platforms & Intelligent Systems

   PayPal · Austin, TX

   Architect of the Proactive Intelligence Platform and the Enterprise Content Management ecosystem. Sets technical direction across AI/ML, architecture, product, and legal teams to deliver predictive, user-centric financial experiences.

2. 2017 – 2021

   Full Stack Engineer, Eligibility & Citizen Systems

   Louisiana Department of Health (Deloitte) · Baton Rouge, LA

   Engineered full-stack modules for a statewide Medicaid enrollment and eligibility platform serving more than one million residents, including secure SAML 2.0 identity flows and inter-agency integrations built to state and federal standards.

3. 2016 – 2017

   Software Engineer, Customer Experience Platform

   Inbiz Concepts · Client: Progressive Insurance · Norwood, MA

   Built responsive, full-stack quote and transaction experiences for Progressive Insurance's customer platform.

4. 2013 – 2014

   Software Engineer, Claims & Enterprise Applications

   Tata Consultancy Services · India

   Designed claims-processing modules and reusable components for large-scale enterprise workflow systems.

IEEE Xplore conference papers

1. AI-Assisted Web Platform for Personalized Job Recommendation Using ML Techniques (PERSO-JOBS)ICAAIC · IEEE · 2025
2. Intelligent Web-Based Student Performance Prediction Using Machine Learning in JavaICAAIC · IEEE · 2025
3. Leveraging ML for Enhanced User Experience in Web ApplicationsICUIS · IEEE · 2025

Selected journal articles

1. Data-Governed Autonomous Decisioning: AI Models for Real-Time Optimization of Enterprise Financial Journeys2021 · 23 citations
2. AI-First Enterprise Architecture: Redefining Web Application Development Through ML-Optimized Processing2022 · 20 citations
3. Enterprise Risk Intelligence: Applying Machine Learning to Compliance, Fraud, and Operational Risk2023 · 18 citations
4. Bridging Data, Intelligence, and Trust: AI-Enabled Decisioning for Secure Enterprise Applications2022 · 16 citations
5. Design and Implementation of a Responsible, Explainable, and Compliance-Driven AI Architecture for Enterprise-Scale CMS2021 · 15 citations
6. AI-Optimized Full-Stack Governance: Integrating Neural Architectures with Compliance-Driven Enterprise Systems2023 · 14 citations
7. Proactive AI Systems: Engineering Intelligent Platforms that Sense, Predict, and Act2024 · 12 citations
8. Generative AI for Enterprise Transformation: From Predictive Decisioning to Autonomous Operations2024 · 11 citations

Peer reviewer for 46+ papers across ten international venues between 2023 and 2026, including IEEE CICN, ICSSS, WCONF, and ICISCoIS.

Press