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Working from home
  • Capital One
  • San Mateo, CA

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@rpi-nsl

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akaanirban/README.md

Hi there 👋👋

  • 🔭 I am an Applied Researcher @Capital One working on building LLMs (pretraining and post pretraining), Multi Agentic Systems at scale, NLP research problems and MLOps.
  • 🧑‍💻 Before this, I was a Ph.D. student at Rensselaer Polytechnic Institute, Computer Science Department, working on algorithms in Federated Learning.
  • ⏮️ I have also dabbled into resource allocation and computational offloading in edge/cloud/hybrid cloud systems.
  • 🤖 Passionate about distributed ML/DL applications and in distributed (edge/cloud) engineering problems!

Linkedin GitHub Google Scholar ResearchGate Kaggle

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  1. rpi-nsl/edgebench rpi-nsl/edgebench Public

    Benchmark for Edge Computing Platforms

    Python 21 8

  2. rpi-nsl/NSL-Spindle rpi-nsl/NSL-Spindle Public archive

    Top-Level Spindle Project

    Scala

  3. fedPlay fedPlay Public

    Simple framework for simulating Federated Learning using nodes in Docker Containers

    Python 1 1

  4. federated-learning federated-learning Public

    Forked from shaoxiongji/federated-learning

    Federated Learning - PyTorch

    Python 1

  5. Awesome-Federated-Learning-Papers Awesome-Federated-Learning-Papers Public

    Forked from chaoyanghe/Awesome-Federated-Learning

    📕 😎 Mostly a collection of research papers categorized into broad topics in federated learning.

    4 2

  6. cloud-ml-examples cloud-ml-examples Public

    Forked from rapidsai/cloud-ml-examples

    A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud

    Jupyter Notebook