Hi, my name is

Nolan Burkhart.

I build intelligent systems.

Award-winning software engineer with hands-on experience at Amazon Web Services building full-stack AI solutions, custom LLMs, and GPU-accelerated analytics.

Currently pursuing a B.S. in Computer Science at Cornell University with a minor in Artificial Intelligence.

02. Experience

Software Development Engineer Intern

Amazon Web Services - S3

May 2025 - August 2025

Arlington, VA

  • -Integrated Model Context Protocol (MCP) and improved RAG systems for internal S3 AI tooling, improving ticket troubleshooting efficiency
  • -Developed a root cause analysis system with high-performance GPU kernel in CUDA/C++ to analyze S3 infrastructure bottlenecks
  • -Deployed full-stack dashboard for server health monitoring, reducing mean time to resolution from days to hours

Software Development Engineer Intern

Amazon Web Services - S3

May 2024 - August 2024

Arlington, VA

  • -Designed and theorized a large-scale AI language model, reducing inference cost and time
  • -Conducted NLP research, developing algorithms and formal proofs grounded in linear algebra and discrete mathematics

03. Projects

Iris

Unified Academic Platform

High-performance platform consolidating Cornell systems (Canvas, Gradescope, Student Center) with MCP-enabled AI assistant and Scheduler+ for optimized academic planning.

C++ | AI/ML | Systems Integration

September 2025 - Present

CodeStorm

AI-Enabled Programming Assessment Practice

AI-powered C++ programming assessment platform with real-time code compilation, test execution, and intelligent scoring feedback.

Python | AI/ML | AWS | Deep Learning

December 2025 - Present

SchoolPal

Campus Navigation App

Mobile campus navigation app with custom interactive map and shortest-path routing. Winner of 2021 Virginia 5th District Congressional App Challenge.

Dart/Flutter | Algorithms

June 2021 - March 2022

Presented to U.S. Congress at #HouseOfCode

04. Skills

Languages

PythonC++CUDAJavaJavaScriptTypeScriptCC#SwiftObjective-CDartAssembly (x86/64, RISC-V)

Core Concepts

PyTorchTensorFlowAWSGCPAzureDockerGitKubernetes

AI & ML Technologies

RAG (Retrieval Augmented Generation)MCP (Model Context Protocol)LLMsNLPGPU KernelsParallel Processing

Focus Areas

Algorithms & Data StructuresSystems ProgrammingMachine LearningFull-Stack & Mobile DevelopmentHigh-Performance Computing

05. Get In Touch

Feel free to reach out!