About

I'm Srujan Pendurthi, an Artificial Intelligence student at Carnegie Mellon University focused on machine learning and backend systems. I build agentic AI pipelines and full-stack products in Go and Python, and I have a soft spot for low-level C. Currently based in United States.

Education

Carnegie Mellon University

Expected May 2028

B.S. in Artificial Intelligence, Additional Major in Business

Pittsburgh, PA

Experience

  1. AI Engineering Intern @ Humana

    May 2026 – Aug. 2026

    Louisville, KY

    • Streamlined Medical Assistant workflows by 33% by developing multimodal RAG pipelines using Google ADK.
    • Consolidated patient data and charts into Athena EMR using FastAPI and Snowflake MCP.
    • Increased patient throughput by 6% by implementing LangChain and LangGraph agents into the MA workflow.
    • Improved veteran healthcare data integration by creating API endpoints for Humana Military TRICARE.
    • Presented in the final showcase to senior leadership and stakeholders.

  2. Machine Learning & Data Science Intern @ Drippy.ai

    May 2025 – Aug. 2025
    • Improved personalized learning recommendations by 28% by developing NLP and computer vision models in PyTorch for AI-driven e-learning tools.
    • Reduced data processing time by 35% by building analytics workflows with Redis and NumPy on educational data.
    • Increased platform engagement by 18% by helping deploy and optimize scalable end-to-end ML inference pipelines.

  3. Machine Learning Research Assistant @ Grand Canyon University

    May 2024 – July 2024

    Phoenix, AZ

    • Developed a real-time ASL gesture translation system using OpenCV, MediaPipe, and PyTorch.
    • Applied Gaussian blur and thresholding techniques to improve hand segmentation and gesture feature extraction.
    • Integrated EEG signal data with gesture recognition pipelines for BCI-focused multimodal classification research.
    • Improved sign recognition accuracy by 25% by training an RNN classifier on temporal gesture sequence data.
    • Authored a 7-page research paper and presented findings at the Arizona Association of the Deaf State Conference.

Technical Skills

Languages
PythonC/C++GoHTML/CSSR
Frameworks
FastAPIClaude SDKGoogle ADKPostgreSQLRedisLangChainLangGraph
Developer Tools
GitDockerVS CodeVisual StudioVimClaude CodeCodexCursorGitHubJenkins
Libraries
pandasNumPyMatplotlibOpenCVPyTorch