Hello, I'mMihir Kondapalli

Software Engineering Intern & Academic Researcher

I build digital frameworks, develop simulations, and research innovative technologies at the intersection of machine learning and computational science.

About Me

I'm a Computer Science major at UC Santa Barbara currently working at Teledyne FLIR as a Software Engineering Intern.

As a Regents Scholar and Engineering Honors Student, I've worked with the UCSB Vision Research Lab and the Exoplanet Polarimetry Lab, implementing advanced algorithms, developing high-fidelity simulations, and building robust software.

My research interests include machine learning, simulation, optimization, and computational physics. I enjoy tackling complex problems that bridge the gap between theoretical models and practical applications.

Technical Skills

PythonJAXPyTorchTensorFlowC++ReactRNextJSFastAPIDjangoAWSDockerCUDASQL

Education

University of California, Santa Barbara

B.S. Computer Science

Regents Scholar, Engineering Honors Program

Work Experience

Software Engineering Intern

Teledyne FLIRJuly 2025 - Present

    Teledyne FLIR logo

    Software Researcher

    UCSB Vision Research LabApril 2025 – June 2025

    • Utilized Docker to deploy image algorithms within the BISQUE framework
    • Researched optimal image stitching algorithm implementations
    UCSB logo

    Software and Machine Learning Researcher

    UCSB Exoplanet Polarimetry LabApril 2024 – Present

    • Built a JAX-based ML framework to analyze protoplanetary disk imagery
    • Developed optimization pipelines integrating complex image processing
    • Working towards publishing framework to Journal of Open Source Software
    UCSB logo

    Featured Projects

    4th & Sim

    A full-stack NFL simulation platform with predictive modeling, featuring a React/NextJS frontend, FastAPI backend, and PostgreSQL database. Includes a Pytorch football strategizer that wins ~55% of games. Simulations powered by R, C++, and Python.

    RC++PythonReactNextJSFastAPIPostgreSQLPyTorchBash ScriptingAWSPredictive ModelingDockerDynamic ProgrammingTypescript
    View Project →

    GRaTeR Scattered Light Disk Framework

    A complex, JAX-based machine learning framework for analyzing and simulating scattered light disks, providing high-fidelity modeling for astrophysics research.

    JAXPythonSimulationSci-kit LearnCUDAOptimizationComputer VisionOpticsImage ProcessingAstrophysics
    View Project →

    GRaTeR Image App

    A web application to simulate and visualize protoplanetary disk images using a custom JAX disk framework, used by multiple research groups.

    Next.jsReactDjangoJAXAstrophysicsTypescriptDockerImage ProcessingMemory ManagementVercelRailway
    View Project →

    Fast Radio Bursts - Northwestern CIERA

    Explored the connection between FRBs and magnetars using CHIME and LISA data. Applied statistical analysis with Python and Pandas under PhD mentorship at CIERA.

    StatisticsPythonPandasData AnalysisVisualizationAstrophysics
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    Drought Indemnity Loss - MTF Challenge

    Analyzed time-series data regarding potential mitigation factors for the California drought crisis. Wrote and published a 13-page paper to the Journal of Student ResearchWrote and published a 13-page paper to the Journal of Student Research.

    StatisticsPythonVisualizationData AnalysisTime Series ModelingWriting
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    Rocket Simulation

    An rk4 integration rocket simulator. Simulates burns and orbital transfers. Visualizes flight trajectories. Currently implementing tensorflow agent to control the rocket.

    SimulationPhysicsJAXNumpyMathVisualization
    View Project →

    NBA ML

    A machine learning model that uses data from the nba_api package to quantify the value of each statistic to the final outcome of a game.

    Scikit-LearnPandasMatplotlibNumpy
    View Project →

    Minefield

    A real-time online multiplayer game.

    Web SocketsPythonPickleNetworkPygame
    View Project →

    Get In Touch

    I'm always open to discussing research opportunities and collaboration on projects. Feel free to reach out through any of the channels below.