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Node.jsNginxFastAPIRAGNext.jsSemantic KernelReactAWS LambdaGoogle OR-ToolsSwiftASP.NET CoreSQLitegRPCAWSPythonReact NativeAngularLLMDockerGolangTypeScript/JavaScriptECRVision FrameworkPostgreSQLMCP

Description

Graduating May 2026 (CS + Econ) with an undergrad degree. Built production AI systems and full-stack platforms. Avid reader, loves sports (especially hockey) & outdoors. Looking for Full-stack, backend, or AI engineer roles working on enterprise/consumer AI products, open to new and cutting-edge technologies. Internship experience includes building AI agents with Semantic Kernel (reduced workflows 40%, 20K+ users), Python/Golang backend with gRPC on AWS, and Angular micro-frontends. Currently leading a 6-person team on a medical QA analysis platform processing 150K+ data points across 4 hospital sites using ASP.NET, Next.js, Docker, PostgreSQL, and Nginx. Co-authored 2 papers on RAG systems (Best Paper Award at IMNS 2025, published at IEEE/ACM CHASE 2025) and built a RAG application achieving 95% accuracy on healthcare automation. Recent projects include an automated course scheduler using agentic AI + Google OR-Tools (React, SQLite, AWS Lambda and ECR, FastAPI) for an econ department, and Sidequest, an iOS app (React Native + Swift) with on-device OCR + LLM parsing using Vision Framework for receipts.