Aditya Choudhary

Senior Data Scientist @ Walmart NLP | D.E. Shaw Group | VMware | SBU |

Aditya Choudhary is a highly skilled Machine Learning Engineer with over 3 years of experience in Applied Machine Learning and 2 years as a Backend Engineer. He is currently working at VMware as a Machine Learning Engineer, where he is responsible for developing Unsupervised Anomaly Detect

5.4

Years of Experience

Education

stony brook university, mnit, st. xaviers school jaipur

Companies

vmware, vmware, stony brook university, stony brook university, arcesium, arcesium, malaviya national institute of technology jaipur

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Mobile Number

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Github

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Experience

2021 - Present
vmware
Machine Learning Engineer
• Developing Unsupervised Anomaly Detection models and their end-to-end production deployment for Endpoint Detection and Response (EDR) system in Carbon Black Security suite.
2020 - 2020
vmware
Software Engineer Intern
• Reduced the mean problem resolution time by 15% by developing native integration of vRLI Cloud system logs for NSX-T components in vRealize Operations SaaS platform. • Technologies used : Java, Spring Boot, AWS EC2
2020 - 2020
stony brook university
Graduate Research Assistant
Working at BrookHaven National Laboratory under the guidance of Dr. Yuewei Lin and Prof. Barbara Chapman.
2020 - 2020
stony brook university
Graduate Teaching Assistant
• Graduate teaching assistant for Python programming course. • Responsible for grading assignments and midterms, holding office hours to clear the doubts of undergrad students.
2018 - 2019
arcesium
Senior Software Engineer | Machine Learning
• ArcEye : Designed and developed a Dev-Ops requests system which assigns newly logged tickets to corresponding dev teams. Leveraged gradient boosted decision-tree based classification algorithms to yield 91% accuracy. • OpsBot : Achieved 20% reduction in turn-around time of tickets by building a similar tickets recommendation system .
2016 - 2018
arcesium
Software Engineer
• DB-Archiver : Conceptualized and implemented a service to backup terabyte scale data from on-prem DB to AWS S3 . • Implemented ETL pipelines for syncing new trade objects in the application using Spring Batch framework. • Enhanced report launcher to run different reports together for resource optimization, improved daily P&L run-times by 17%. • Developed REST APIs for GEAR reporting system that provide visibility to clients into financial positions. • Technologies used : Java, Python, MSSQL, AWS (S3, SageMaker), Spring, Git, Docker, Datadog, Elasticsearch
2015 - 2015
malaviya national institute of technology jaipur
Summer Research Intern
• Community Question-Answering Recommendation System: Created a recommendation model which predicts expert users who are most likely to give helpful answers for a newly added question on StackExchange. Publication - https://ieeexplore.ieee.org/document/8710394 • Developed hybrid,content-based filtering and graph-based models. • Implemented tf-idf based content-model in Spark distributed model. Setup 15-node Spark cluster in department lab. • Technologies: Spark, Python, Google Compute Engine, TitanDB, Cassandra

Experience

108 Skills

ActiveMQ

Algorithms

Amazon Elastic MapReduce (EMR)

Amazon S3

Amazon Web Services (AWS)

Android Development

apache

Apache Airflow

Apache Spark

Applied Machine Learning

architectures

assembly language

AWS SageMaker

Backend

c

c++

Cassandra

chrome extensions

Cloud Computing

Computer Vision

Continuous Integration

D3.js

Data Analysis

Data Science

Data Scientist

Data Structures

Datadog

Deep Learning

Design

DevOps

Distributed Systems

Docker

Education

Elastic Stack (ELK)

ElasticSearch

Flask

Git

Github

GitHub

Google Cloud Platform

Google Cloud Platform (GCP)

Hadoop

HTML

infra

Infrastructure

Integration

Java

JavaScript

JIRA

Jupyter

Kubernetes

Linux

Logic and Reasoning

Logistic Regression

Machine Learning

Machine Learning (ML)

Matlab

Microsoft SQL Server

MSSQL

mysql

Naive Bayes

Natural Language Processing

Natural Language Processing (NLP)

NLTK

octave

operations

Pandas

Pandas (Software)

Perl

php

programming

PySpark

Python

PyTorch

Random Forest

Recommendation system

Representational State Transfer (REST)

Research

Research Scientist

REST

REST APIs

SaaS

Scikit

Scikit-Learn

Scrum

Search

security

Shell Scripting

Software Engineer

Spark

Spring

Spring Boot

Spring Framework

SQL

TensorFlow

titan

windows

Education

2019 - 2020
stony brook university
Master of Science - MS
Computer Science
2012 - 2016
mnit
Bachelor of Technology (B.Tech.
Computer Science and Engineering
2000 - 2012
st. xaviers school jaipur