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Magesh Kumar Murali

Senior Software Engineer • Seattle, WA

Founder at Paintsy AI & Paisa Cash

Senior Software Engineer with a background spanning large-scale ML systems, big data platforms, and developer tooling. Built Prime Video's next‑gen recommendation engine, TB‑scale pipelines, and cost‑saving ML infra; prior experience at Pivotal Labs/VMware shipping cloud‑native systems; research in deep reinforcement learning at Oregon State University.

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Work Experience

  • Senior Software Engineer • Prime Video, Amazon

    Seattle

    Jun 2020 – Present
    • Built the next‑generation content recommendation engine increasing overall stream time by 5%
    • Created PV Page Simulator for rapid prototyping of page optimization strategies
    • Designed a framework to automate daily training, deployment, versioning, and monitoring of ML models
    • Scaled an ML pipeline to run TB‑scale inference in ~30 minutes; optimized training time from 12h → 2h via GPU utilization
    • Identified cross‑component optimizations saving ≈ $1.4M per year
    • Winner of the Prime Video ‘Technically Fearless’ award
    SageMakerSparkScalaPythonAWS CDKMXNetPyTorchDynamoDB

  • Software Engineer • Pivotal Labs (VMware)

    San Francisco

    Sep 2018 – Jun 2020
    • Led a big‑data platform for SunPower ingesting sensor data from millions of devices; improved 95p latency from 4s → 250ms
    • Migrated WeWork’s Inventory Management System from a monolith to cloud‑native microservices
    • Introduced observability practices to reduce time‑to‑restore
    • Led and built the UI layer for Autodesk Drive used across flagship products (AutoCAD, Revit, …)
    • Coached XP practices, improving deployment frequency from 1 in 3 months to 24 in 3 months
    • Contributed to the Cloud Foundry CLI
    KafkaKubernetesPrometheus/Jaeger/GrafanaGatlingGoJava (Spring Boot)TypeScriptCloud FoundryBOSHConcourse CIEDARabbitMQ

  • Graduate Research Assistant • Oregon State University

    Corvallis

    Sep 2016 – Jun 2018
    • Built AI agents for Atari games using DQN, HRA, and A3C
    • Developed a framework to help programmers create deep RL agents
    • Applied deep RL to improve adaptive programming paradigms
    • Researched variational data structures and benchmarked performance
    TensorFlowPyTorchPythonGoogle Cloud MLHaskell

  • Application Developer • ThoughtWorks

    Singapore

    Aug 2013 – Jun 2016
    • Developed a private banking application for Credit Suisse (APAC) with iOS/Android support
    • Architected a reusable UI framework to accelerate delivery across projects
    • Optimized build pipelines to improve developer productivity
    • Benchmarked and tuned performance using Gatling
    • Refactored a monolith to microservices with zero downtime
    JavaScript (ES6)Objective‑CAngularJSGoCDCordovaGulpGatling

Startups

Paintsy AI logo

Paintsy AI

Create and download personalized coloring books and KDP-ready artifacts with Paintsy.ai. Turn your imagination into printable PDFs in seconds.

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Paisa Cash logo

Paisa Cash

Next generation personal finance app for effortless budgeting and expense tracking.

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Selected Projects

Adaptive Programming Library

Framework enabling programmers to build intelligent agents using state‑of‑the‑art reinforcement learning algorithms.

PythonTensorFlowTensorBoardCloud MLOpenAI Gym
View on GitHub

Pragyan

Open‑source question answering system for simple What/Who/Why queries powered by the semantic web.

PythonDjangoSemantic WebNLPSPARQLDBPedia
View on GitHub

Education

  • Oregon State University

    M.Eng., Computer Science

    GPA 3.56 / 4

    Sep 2016 – Jun 2018

  • Amrita University

    B.Tech., Computer Science

    Major GPA 8.69 / 10 (Top 10%)

    Jun 2009 – May 2013

Contact

m.magesh.66@gmail.comhttp://www.mageshkumar.com
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