Name: Chinmay Kulkarni
Type: User
Company: @microsoft
Bio: Distributed systems, machine learning, large language models. Currently, MTS at Microsoft AI.
Previously, MTS @InflectionAI, SWE @people-ai. Member of @apache
Location: San Francisco, CA
Blog: https://www.linkedin.com/in/chinmayskulkarni
Chinmay Kulkarni's Projects
Charm++ programs for solving the 3D Jacobi Problem
Alarm Tracker
Code base for the CHArm++ N-Body GrAvity Solver (ChaNGa) n-ary tree application.
Contains practice programs in the Charm++ Parallel Programming Model.
A Python implementation of Girvan-Newman community detection algorithm for weighted graphs
Data Cube Implementation. Done in Python.
Implementation of Decision Trees and Decision Stumps. Done in Java using Weka.
C implementation of a Unix-based directory structure that uses a left child, right sibling tree where nodes can have any number of children.
Backup of my dotfiles: .bashrc, .screenrc and .vimrc along with required plug-ins.
Sequential detection of temporal communities by estrangement confinement
Frequent Pattern Mining. Implemented the Apriori Algorithm. Done in Python.
Mirror of Apache HBase
.NET driver for Apache Phoenix and Phoenix Query Server
A High Dynamic Range (HDR) Histogram
Machine learning framework used in InCollab. InCollab is an Android App which tracks user activity, location and interests to provide them with relevant articles, so they can collaborate with like-minded peers. This repository is the machine learning framework used in InCollab to extract relevant articles from NY Times using topic modeling.
Implementation of k-Means and k-NN classifiers. Done in Python.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Python program to play Minesweeper through the console. This is hacky due to time limits on implementation. Work in progress!
Implementation of Naive Bayes with and without AdaBoost. Done in Python.
Contains programs written in the Charm++ parallel programming model for simulating a large-scale parallelized particle simulator similar to ones used for weather simulations.
Mirror of Apache Phoenix
Apache Phoenix Connectors
CS 598 - Machine Learning for Signal Processing Project
A living collection of deep learning problems
C implementation of a shell.
Some useful shell scripts that I wrote.
Apache Spark
Shell for issuing SQL to relational databases via JDBC
C implementation of the traveling salesman problem.