
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
Show more
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
Reach out to Aditya Choudhary via Email, InMail and SMS drip
by installing Chrome extension
Aditya's contact details
Email (Verified)
adXXXXXXXXXXXXXXXXXXom
Mobile Number
89XXXXXX61
Github
adX11
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
Algorithms
Amazon Elastic MapReduce (EMR)
Amazon S3
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Android Development
apache
Apache Airflow
Apache Spark
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
Data Structures
Datadog
Deep Learning
Design
DevOps
Distributed Systems
Docker
Education
Elastic Stack (ELK)
ElasticSearch
Flask
Git
Git
Github
GitHub
Google Cloud Platform
Google Cloud Platform (GCP)
Hadoop
Hadoop
HTML
infra
Infrastructure
Integration
Java
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
Pandas (Software)
Perl
php
programming
PySpark
Python
Python
PyTorch
Random Forest
Recommendation system
Representational State Transfer (REST)
Research
Research Scientist
REST
REST APIs
SaaS
Scikit
Scikit-Learn
Scikit-Learn
Scrum
Search
security
Shell Scripting
Software Engineer
Spark
Spring
Spring Boot
Spring Framework
SQL
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
Colleagues at vmware
Show more
Others named Aditya
Show more
Colleagues at vmware
Show more
Colleagues at stony brook university
Show more