|

Studying Mathematics/Statistics and AI at Carnegie Mellon

This is my ideal intersection.

MachineLearningSystemsEngineeringDefenseTechnology

But around it is interesting, too.

Krish Patel

Scroll to learn more about me

Experience

Viatas AI logo
Founding Engineer
Viatas AI
August 2025 – Present
Remote
  • Developing a neural network using PyTorch, leveraging user data with MedAlpaca to deliver rapid, context-aware healthcare insights to under-served regions
PyTorchMedAlpacaHealthcare AINeural Networks
Defense Innovation Unit, U.S. Department of Defense logo
Machine Learning Engineer Intern
Defense Innovation Unit, U.S. Department of Defense
June 2025 – August 2025
Mountain View, CA
  • Fine-tuned a transformer model with a multi-agent evaluation architecture and integrated a RAG system to extract key technical specifications, identify proposal risks, and assess alignment with project requirements
  • Built and containerized (Docker) a full-stack application using React and Flask, integrating the model to deliver rapid, accurate evaluations; reducing proposal review time for project managers by 75%
  • Served as AI Subject Matter Expert, analyzing 200+ proposals and conducting technical/product interviews with 10+ engineering teams to evaluate AI solution feasibility and alignment for a multi-million dollar contract award
TransformersRAGReactFlaskDockerMulti-agent Systems
U.S. Naval Research Laboratory logo
Computational Mathematics Researcher
U.S. Naval Research Laboratory
June 2024 – July 2024
NASA Stennis Space Center, MS
  • Built a mathematical time-series validation framework in Fortran to verify the correctness of 13 critical subroutines, covering 45% of the core logic in a 4D variational data assimilation model; 2 published papers
FortranTime-series AnalysisData AssimilationMathematical Modeling
U.S. Naval Research Laboratory logo
Data Science Intern
U.S. Naval Research Laboratory
June 2023 – July 2023
NASA Stennis Space Center, MS
  • Created a novel MATLAB pipeline using Fourier transforms to automate processing of 200+ raw time-series datasets, reducing preprocessing time by over 90%; presented findings to 40+ researchers
MATLABFourier TransformsData ProcessingTime-series Analysis

Projects

CMU Shuttle logo
CMU Shuttle
Team Lead/Full Stack Developer
Leadership Project
January 2025 – Present
In Development

Leading the development of a real-time transit application for CMU Shuttle using JavaScript, PostgreSQL, and Apple Maps API, featuring a novel route-planning algorithm; overseeing CI/CD workflows

ReactPostgreSQLExpress.jsGitApple Maps APICI/CD
ReachUrTeacher
TartanHacks Project
Hackathon Winner
February 2025
Completed

Developed a classroom engagement tool using OpenCV, MediaPipe, Flask, and Speech Recognition to detect hand-raises with 85% accuracy and summarize discussions; integrated a SQL database to identify key topics

OpenCVTypeScriptSQL DatabaseFlaskMediaPipeSpeech Recognition

Publications

Development and Testing of Tangent Linear Model for WAVEWATCH III
Coauthor2024

Mathematical framework development for wave modeling and data assimilation systems.

U.S. Naval Research Laboratory
Optimization of PIV Data from Waves Propagating through Ice Floes
2nd Author2024

Advanced data processing techniques for particle image velocimetry in marine environments.

U.S. Naval Research Laboratory
Validating Tangent Linear Components of a New Wave Data Assimilation System
1st Author2024

Comprehensive validation framework for 4D variational data assimilation models.

American Geophysical Union