kartikra
Designing and developing microservices, distributed systems, large scale data-pipelines and machine learning models
@Givfi @vensav Mountain View, CA
Pinned Repositories
algorithms_data_structures
data structures, algortihms and common interview questions
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
assumerole
This utility makes it easier to switch between multiple AWS profiles
codeguru
cpp_refresher
A quick intro to c++
dattasa
python project for dattasa package in pypi
front-end-interview-handbook
⚡️ Front End interview preparation materials for busy engineers
graalvm-test
hello-rust
Learn Basics of RUST programming language
m1-machine-learning-test
kartikra's Repositories
kartikra/dattasa
python project for dattasa package in pypi
kartikra/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
kartikra/assumerole
This utility makes it easier to switch between multiple AWS profiles
kartikra/algorithms_data_structures
data structures, algortihms and common interview questions
kartikra/codeguru
kartikra/cpp_refresher
A quick intro to c++
kartikra/front-end-interview-handbook
⚡️ Front End interview preparation materials for busy engineers
kartikra/graalvm-test
kartikra/hello-rust
Learn Basics of RUST programming language
kartikra/m1-machine-learning-test
kartikra/mlshark
Package to accelerate machine learning model development
kartikra/OpenLineage
An Open Standard for lineage metadata collection
kartikra/paypal-checkout-demo
Sample e-commerce website to demonstrate how pyapal checkout works
kartikra/postgres-operator-examples
Examples for deploying applications with PGO, the Postgres Operator from Crunchy Data
kartikra/recommender-lib
kartikra/rust-rest-client-demo
Testing out Rust libraries for making concurrent async rest api calls
kartikra/scripting_projects
scripts projects using bash and sql. Sample code to get started with python, spark and mongodb
kartikra/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm