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Hi there šŸ‘‹

  • šŸ”­ Iā€™m currently working on a personal project where I am building an extension to the hyperopt-sklearn Python package to include another robust model, Catboost as well as some neural network architectures.
  • šŸŒ± Iā€™m currently learning how to work with Google Cloud Platform to build end-to-end machine learning models to interact with data stored in Cloud SQL via BigQuery and to achieve an Automated Machine Learning solution via AutoML Tables and Contextual Multi-Armed Bandits for the purposes of automated search engine optimization (SEO) strategies
  • šŸ‘Æ Iā€™m looking to collaborate on interesting projects on anything ranging from optimization, deep neural architectures and Kaggle competitions!
  • šŸ’¬ Ask me about hyperparameter and bayesian optimization, architecture search, computer vision, and anything data science related.
  • šŸ“« How to reach me: Find me on LinkedIn!
  • āš” Fun fact: I enjoy very very dark chocolate! 90% cocoa purity and above is ideal.

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My Publications

Implementation, Validation and Profiling of a Genetic Algorithm for Molecular Conformational Optimization

brutishguy's Projects

aaforb_assignment4 icon aaforb_assignment4

The fourth assignment for Advanced Analytics in Big Data. Here we analyze a large social graph from Reddit using Neo4j and Gephi as a graph visualization tool

adagp icon adagp

Code and Data for Genetic Algorithm for PSP

arima_forecaster icon arima_forecaster

Created and completed a first iteration of a simple ARIMA forecaster for time series data to be used for a larger pipeline

asthpo icon asthpo

Hyperparameter Optimization for Astronomy Domain Problems

deep-rl-bo icon deep-rl-bo

Bayesian Optimization for Deep Reinforcement Learning

fastcart icon fastcart

FastCART is a fast C++-based CART algorithm decision tree implementation, able to handle ordinal, numerical and categorical data.

genetsp icon genetsp

Implementation of genetic algorithms to solve the dynamic TSP problem. The dynamic travelling salesman problem is an extension of the classical TSP to allow for time-varying cost matrices between city connections.

javafxtesting icon javafxtesting

Yo yo yo feel free to work on the JavaFX experiments over here

kuleuvendatathon icon kuleuvendatathon

Repository for our solutions and insights derived for the KU Leuven Datathon 2020, using air quality data from LeuvenAir, traffic data from Telraam, and weather sensor data

ls_hashing icon ls_hashing

Assignment for Big Data Analytics Programming centred around Locality Sensitive Hashing

makingmywaydowntown icon makingmywaydowntown

Hadoop experiments on toy datasets involving taxi trips around San Francisco. Be sure to wear some flowers in your hair

pointnet icon pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pyfriends icon pyfriends

Python implementation of the paper "PyFriends: The First Fully Generalized Friends-of-Friends Extragalactic Galaxy Group Finder", using a Friends-of-Friends (FoF) algorithm for galaxy group detection, augmented by graph theory approaches.

raffle-selection icon raffle-selection

Select a random raffle winner among a list of objects, via a 'survivor'-style elimination process.

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