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tripabhi/README.md

Hi there, I'm Abhijit!

  • 💻 I'm a Software Engineer with experience in developing scalable backend and frontend systems.
  • 🔭 I’m developing solutions for Serverless functions to optimize ML Inference workloads.
  • 📫 How to reach me: Linkedin, Twitter

Skills

  • Programming Languages: C, C++, Java, Python, Go, Scala, PHP, JavaScript
  • Tools and Technologies: Kubernetes, Docker, Helm, Jenkins, TeamCity, Git, Mercurial, OpenShift, AWS (EKS, EC2, Lambda), Git, MapReduce, Apache Spark, Apache AirFlow, IBM MQ
  • Web Development: React, Relay.js, GraphQL, Babel, Webpack, Spring, ExpressJS
  • ML Frameworks: Ray, PyTorch, TensorFlow, Dask
  • Databases: MySQL, Cassandra, Redis, Memcached

Pinned

  1. MLWithLambda MLWithLambda Public

    Project to test LambdaML's machine learning training procedure on AWS Lambda functions.

    Python

  2. ConcurrentPlusPlus ConcurrentPlusPlus Public

    A lightweight C++ Library for parallel programming

    C++

  3. faas-inference faas-inference Public

    Project to demonstrate how ML Inference can be performed using Serverless Functions.

    Python

  4. vclogger vclogger Public

    Forked from AnishEllore/vclogger

    Implemented a C++ Logger for fun. Learnt using dependency injection and new C++ features like smart pointers

    C++

  5. wspool wspool Public

    A fast and lightweight Work-Stealing ForkJoinPool implementation in Java

    Java

  6. zerocopy-exp zerocopy-exp Public

    Experiments to demonstrate the performance benefits of Zero-Copy Machine Learning Model Loading.

    Python