Pranav Varshney

Experience / Selected work

Systems, research,
and the work behind them.

Notes from my internships, research, and teaching: the problems I worked on, the systems around them, and what the work produced.

IndustryResearchTeaching

2026

Experience notes
  1. Google Cloud

    Microsoft Workloads · Agentic Cost Optimization

    Licensing cost analysis, state drift checks, and human-reviewed change plans for cloud workloads.

  2. Uber Eats

    Delivery Matching

    Tracing delivery predictions, preserving BYOC lineage, and evaluating a unified ETD model.

2025

Experience notes
  1. University of Michigan

    Healthcare AI Research

    Cardiac chamber segmentation, ejection-fraction quantification, and portable ultrasound interoperability.

  2. Scale AI

    LLM Evaluation Pipelines

    Retrieval, reranking, and high-throughput benchmarking for model evaluation.

  3. Amazon Web Services

    SageMaker / Bedrock Infrastructure

    Dependency mapping, live system health, and containerized audit tooling for model serving.

  4. University of Michigan

    Self-Operating Networks

    AST-aware code generation and a contrastive-learning pipeline for training-data expansion.

2024

Experience notes
  1. University of Michigan

    Teaching · COMPFOR 131

    Helping teach introductory programming through Python.

  2. United Wholesale Mortgage

    Data Engineering

    3NF database normalization for GCP migration and a random forest model for loan outcome classification.

2023

Experience notes
  1. Ratna Global Technologies

    Client Automation

    RAG customer support using company data, plus Redis caching to reduce recurring API costs.