I am a University of Hartford Computer Science graduate (magna cum laude) interested in entry-level software, data, IT/support, QA, and AI-adjacent work in Connecticut or remote.
I designed and led delivery of TraceRoom as an independent project for DeepSpace's internship technical assessment. It is a full-stack app for collaborative, evidence-backed incident investigations, with authenticated real-time rooms, speech transcription, public GitHub metadata, external reference search, and reviewed handoff exports. The repository documents 152 unit tests and 28 local browser/API tests.
A Python voice-conversation application built for an AI engineering challenge. The project demonstrates multi-turn conversation handling, audio/telephony integration, Dockerized execution, automated testing, explicit safety gates, and offline-safe defaults. AI tools assisted development; design decisions, testing, evidence review, and final submission remained human-reviewed.
- Data analysis and technical-documentation internship using Power BI and Excel; named in the acknowledgments of Igor Balk's published book Data-Driven Decision-Making in Marketing: A Casebook in Power BI for validating the labs and flagging unclear instructions.
- Recent labs and projects in SQL, Python, Hadoop, Hive, Spark/PySpark, Git, SDLC, and cloud-computing concepts.
- Several years of customer-facing, high-volume retail/service experience.
Entry-level software, data, IT/support, QA, technical trainee, or AI-adjacent roles in Connecticut or remote.