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Hi there, I'm Alex 👋

Distributed Software Engineer, Data Scientist, Machine Learning Engineer, and Data Engineer developing solutions, accelerators and projects for GenAI, DSML, Distributed DL in various domains. Areas of specialisation include Geospatial DSML and analytics, graph theory, clustering, predictive modelling, CNNs, RNNs, GNNs, GANs with a focus on applying the Spark platform using Scala and Python, as well as Rust. My experience includes data modelling, feature engineering, exploratory data analysis, root cause investigation across large and complex data sets in FinServ, HLS, Media & Entertainment and Telecom.


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Alex's Projects

manifests icon manifests

Deploy manifests for the single-container version of Netsil AOC

marmaray icon marmaray

Generic Data Ingestion & Dispersal Library for Hadoop

mixer icon mixer

Mixed Incremental Cross-Entropy REINFORCE ICLR 2016

mlflow icon mlflow

Open source platform for the machine learning lifecycle

mmlspark icon mmlspark

Microsoft Machine Learning for Apache Spark

mosaic icon mosaic

An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets.

multipathnet icon multipathnet

A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)

mxnet icon mxnet

Lightweight, portable, flexible distributed/mobile Deep Learning with dynamic, mutation-aware Dataflow Dep scheduler; for Python, R, Julia, Scala, Go, Javascript and more

netcdf-c icon netcdf-c

Official GitHub repository for netCDF-C libraries and utilities.

nnvm icon nnvm

Intermediate Computational Graph Representation for Deep Learning Systems

nocode icon nocode

The best way to write secure and reliable applications. Write nothing; deploy nowhere.

parallel_curl icon parallel_curl

A simple Python class for running multiple URL fetches in parallel

peloton icon peloton

Unified Resource Scheduler to co-schedule mixed types of workloads such as batch, stateless and stateful jobs in a single cluster for better resource utilization.

perfect icon perfect

A perfect minimal hash function generator

petastorm icon petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

pgl icon pgl

A C++ library that simplifies implementation of process isolation and privilege separation

pinot icon pinot

Apache Pinot - A realtime distributed OLAP datastore

presto icon presto

Distributed SQL query engine for big data https://prestodb.io

proj icon proj

PROJ - Cartographic Projections and Coordinate Transformations Library

protobuf icon protobuf

Protocol Buffers - Google's data interchange format

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