Built and scaled cloud services for IBM's quantum computing platform, progressing from owning mission-critical microservices to delivering platform infrastructure for GA and FedRAMP readiness. Implemented CI/CD across gateway and frontline services with automated testing and security scanning that became the foundation for our compliance pathway. Delivered key features through the IBM Cloud replatforming, including instance workloads (jobs/sessions) and the Admin User Analytics migration, and supported the move to private endpoints. Drove reliability practices by authoring disaster recovery plans, establishing SRE patterns, and handling incidents as part of the on-call rotation. Enabled multi-region compliance and data classification/migration efforts across services and data boundaries. Owned the Interim Qiskit Runtime service that carried production workloads during the transition of services, including Bring-Your-Own-Bucket and execution-time prediction features. Worked across Go and TypeScript services on Kubernetes with OpenTelemetry and Prometheus, PostgreSQL and MongoDB data layers, and NATS messaging; the role centered on distributed systems and platform reliability at scale.

Selected Highlights:

Tech Stack: Go, TypeScript, Kubernetes, Docker, PostgreSQL, MongoDB, Node.js, NestJS, NATS, OpenTelemetry, Prometheus, Grafana, ArgoCD, Helm, IBM Cloud

I write clean, well-architected software to deliver Qiskit and IBM’s Quantum services.

Developed a cross-platform mobile app for event coordination in tight iteration cycles with company founders. Built the complete feature set: real-time collaborative markdown notes, shared media, expense tracking with Venmo integration, push notifications, Maps-based location, and OAuth authentication. Delivered through TestFlight with rapid feedback incorporation. The contract ended when I transitioned to full-time work at IBM. The project reinforced mobile engineering patterns—state management across network transitions and third-party SDK integration—while building skills in translating product requirements directly from founders into technical implementation.

Selected Highlights:

Tech Stack: React Native, Node.js, iOS

Wrote and tested software as a part of the IBM Quantum Software team.

Built a predictive analytics platform for football coaching, integrating ML models with real-time game interfaces. The system extracted structured data from HUDL (building custom scrapers since no API existed), ran automated data cleaning and feature engineering, trained TensorFlow models with hyperparameter optimization, and served predictions through a web interface. The platform supported selecting game data for training, deploying custom models, and using them during live games via a real-time interface. The technical challenge was data engineering—handling inconsistent inputs and building reproducible ML workflows. Stopped the project after determining model accuracy couldn't reliably beat human intuition with available data. The experience built skills in ML infrastructure, data pipeline design, and the discipline to evaluate technical viability objectively.

Selected Highlights:

Tech Stack: Python, TensorFlow, Keras, Optuna, Scikit-Learn, Pandas, Node.js, React, TensorFlow.js, Docker