M.S. Computer Science at Northeastern University. I build backend services and the infrastructure around them, mostly on AWS.
This past summer I was an SDE intern on the AWS Quick team in New York, where I owned a feature end to end: publishing AI-generated dashboards out of a private workspace to public URLs. Most of the work was the boundary rather than the feature, deciding what to freeze, what to strip, and what should never leave the workspace at all.
Looking for Summer 2027 SWE/SDE internships and New Grad roles in backend, full-stack, cloud, or platform engineering.
- job-search-scanner — scheduled pipeline that pulls open roles from five public job-board APIs, deduplicates against prior runs, filters by eligibility, and renders one-page ATS-parseable resumes
- careplan-project — nursing care plan management system
I use AI tools heavily to get productive in an unfamiliar codebase in days rather than weeks. Then I do the part they will not do for you: making the result something a human can read, test, and audit.