Software Engineer · Reality Interactive
May 2023 to Present · Middletown, CT
- Current focus: AI product engineering, high-volume telemetry, AWS infrastructure, observability, and customer-facing production systems.
Software engineer building AI products, real-time device platforms, and production AWS infrastructure.
A chatbot demo built for a major U.S. mall operator to answer shopper questions about stores, hours, promotions, and events. Used Next.js, React, Python, OpenAI APIs, and Weaviate, with AWS Lambda and EventBridge ingestion pipelines to keep tenant data current.
Demonstrated a production-shaped RAG architecture with automated data ingestion on AWS.
Real-time telemetry and content distribution platform powering thousands of Android digital signage players: device monitoring, content delivery, fleet analytics, and high-volume metrics ingestion using RabbitMQ, Express/Node, and TimescaleDB/Postgres.
Diagnosed production bottlenecks across EC2, disk I/O, Nginx, PM2, and database workloads.
Led the migration of a legacy Elasticsearch/Kibana stack to AWS-hosted OpenSearch with Logstash pipelines. Reworked indexing resilience, lifecycle and storage policy management, and CloudWatch-backed alerting.
Reduced cloud infrastructure costs by roughly 10% while improving alerting reliability.
A Next.js 15, React 19, and TypeScript research app that orchestrates parallel agents, live progress, typed session state, citations, retries, timeouts, and mock/live search adapters.
Deployed as a working AI research product at tenex.dagos.to.
May 2023 to Present · Middletown, CT
Graduated May 2023 · GPA 3.5 · transcript
I'm always interested in hard problems, especially where cloud infrastructure, AI, and real products meet. The fastest way to reach me is email; I read everything.