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PORTFOLIO · REAL-WORLD EXPERIENCE

Projects that
turned complexity
into results.

FOCUS

AI and data, cloud platforms, reliability, automation, and systems connected to business operations.

ORACLE · FEB–SEP 2026

As Principal AI/ML Platform Engineer for Oracle Cloud Analytics (official role key: Data Scientist IC-4), I architected and developed a production-ready, end-to-end ML platform and led the delivery of two agentic AI solutions. I also developed a custom ChatGPT/Codex skill and trained the engineering team to adopt Spec-Driven Development, improving code documentation and Jira ticket quality while reducing unnecessary token consumption.

ORACLE CLOUD ANALYTICSAGENTIC AI · OBSERVABILITY · IAM

AGENTS

Led the design and delivery of two production-ready agentic AI solutions.

ROLE
Principal AI/ML Platform Engineer · Data Scientist IC-4
THE CHALLENGE
Address complex operational challenges in system observability and role and permission provisioning.
OUTCOME
Two production-ready agentic AI solutions built for critical platform operations.
ORACLE CLOUD ANALYTICSMACHINE LEARNING · DATA LAKEHOUSE

ML PLATFORM

Architected and developed a production-ready, end-to-end ML platform for Oracle Cloud Analytics.

ROLE
Principal AI/ML Platform Engineer · Data Scientist IC-4
THE CHALLENGE
Build the ML foundation for the New Data Lakehouse Architecture and prepare it for end-to-end operation.
OUTCOME
Completed and handed off for deployment as part of the New Data Lakehouse Architecture program.
EPIC GAMES · EPAMML · KUBERNETES · DEVEX

FORECAST

A machine learning model that anticipated demand in the GitHub Actions job queue running on AWS EKS.

ROLE
Sr. Platform Engineer
THE CHALLENGE
Increase node availability ahead of demand spikes without relying on constant overprovisioning.
OUTCOME
A better developer experience and up to a 10× reduction in overprovisioned resources.
GREEN DOT · DELOITTECLOUD · SRE · FINTECH

SCALE

Modernization and operation of critical platforms for a financial organization serving more than 80 million users.

ROLE
Sr. Site Reliability Engineer
THE CHALLENGE
Migrate workloads from AWS EC2 to EKS and Azure AKS while preserving reliability, observability, and delivery speed.
OUTCOME
50% cost savings, availability near 99.99%, incident detection reduced from minutes to seconds, and up to 50% less manual release effort through LLM-powered agents.
THE SMART FACTORY · DELOITTEMANUFACTURING · OTA · API

AMR OTA

A scalable OTA update platform for thousands of autonomous mobile robots in a manufacturing environment.

ROLE
Site Reliability Engineer
THE CHALLENGE
Eliminate manual updates and connect robot software deployment with manufacturing execution systems.
OUTCOME
Automated deployments, an API-driven architecture, MES integration, and support for fleet management and large-scale production.
ZOOX · DELOITTEAUTONOMOUS VEHICLES · CI/CD

VEHICLE OTA

An OTA system for autonomous-vehicle microcontrollers with reliable telemetry between the vehicle and the cloud.

ROLE
Site Reliability Engineer
THE CHALLENGE
Integrate updates, production traceability, and inventory without compromising system reliability.
OUTCOME
MES integration and CI/CD pipelines built with GitHub Actions, Terraform, and Ansible for automated deployments and infrastructure.
ALLEGIONAMR · COMPUTER VISION · MCU · IOT

FACTORY

Integrated autonomous mobile robots (AMR) with monitoring systems to improve manufacturing visibility, material flow, and operational efficiency.

ROLE
Jr. Software Engineer
THE CHALLENGE
Automate key manufacturing operations across unit detection, microcontroller programming, and takt-time control.
OUTCOME
Contributed to a computer-vision solution for automated unit detection, developed an MCU programming station, and advanced the IoT initiative cycle time v2.0 to optimize takt-time operations.