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Senior ML / AI Platform Engineer

Vishnu Keshav Senthil

I build and operate platforms for production AI. My work spans model serving, agent infrastructure, retrieval, and the tools engineers use to build on them. I started in applied data science, which still shapes how I design services for people running models in production.

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Services that hold up

I build shared services in Rust and Python, with attention to performance, failure handling, and the work of running them.

Models and agents in use

I work on model delivery, durable agent state, and retrieval systems that can be inspected and evaluated.

Tools people can adopt

I build clients, templates, and documentation that help engineers use a platform and understand its limits.

Experience

Senior ML / AI Platform Engineer

Shipt

  • Build and operate shared AI services, from feature serving and model delivery to agent infrastructure.
  • Develop retrieval and evaluation workflows that make answer quality easier to inspect.
  • Build migration tooling that checks model artifacts, metadata, and prediction behavior before rollout.
  • Improve reliability and usage visibility for shared model access.
  • Support adoption through SDKs, reference applications, documentation, and engineering reviews.
Oct 2023 - Present

Senior Data Scientist

Shipt

  • Owned predictive systems from training through production serving.
  • Improved a computer vision workflow through model development, labeling, and error analysis.
  • Built analytical tools and validated data changes for operational decisions.
Apr 2022 - Oct 2023

Research Associate I and II

Evidera

  • Built data pipelines and performed statistical analysis in Python and R for health economics and outcomes research.
  • Worked with patient-level and claims data to support research models.
Nov 2019 - Apr 2022

Selected work

Feature serving

Rebuilt a shared service in Rust to reduce read latency and make integration easier.

Knowledge retrieval

Built a technical knowledge assistant with citations, evaluation, and feedback.

Model lifecycle

Developed repeatable migration tooling with explicit validation and release checks.

Agent infrastructure

Built durable session and task storage with framework-specific client integrations.

Core stack

  • Rust
  • Python
  • API design
  • Distributed systems
  • Model serving
  • Retrieval
  • Evaluation
  • Observability
  • SDK design
  • Operations research

Education

2017 - 2019

The Ohio State University

M.S. Operations Research

2013 - 2017

Anna University

B.E. Mechanical Engineering

Earlier Engineering Work

  • Trailer scheduling with optimization and simulation
  • Maintenance planning with probabilistic models
  • Queueing and throughput studies using discrete-event simulation