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Vivek Kumar Singh
Software Engineer
Education Overview
• university of mumbai
Companies Overview
• amazon
• angel one
• augle ai
• moneytor
Experience Overview
5.2 Years
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Experience
Skills
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Algorithms
Amazon EC2
Amazon ECS
Amazon Kinesis
Amazon S3
Amazon Web Services (AWS)
apache
Application Programming Interfaces (API)
architecture
Artificial Intelligence (AI)
Automation
AWS Lambda
AWS Rekognition
Azure
Backend
C++
Cassandra
CI/CD
Cocos2d
Cocos2d-x
Computer Vision
Data Structures
Deep Learning
Docker
Education
Electronics
Entrepreneurship
Express.js
Git
GitHub
Go (Programming Language)
Google Vision API
gRPC
Kafka
Keras
Kubernetes
linux
Machine Learning
Manufacturing
Microservices
Microsoft Azure
Mongo
MongoDB
MySQL
NumPy
OpenCV
PostgreSQL
Python
Python (Programming Language)
PyTorch
RabbitMQ
Redis
Representational State Transfer (REST)
REST
Retail
Rust (Programming Language)
Scikit-Learn
security
servers
Software Engineer
SQL
SQLite
TensorFlow
Tesseract
Trading
Ubuntu
Vision
Contact Details
Email (Verified)
kumXXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX95Education
university of mumbai
Bachelor of Engineering - BE
2012 - 2016
Frequently asked questions
What company does Vivek Kumar Singh work for?
Vivek Kumar Singh works for amazon
What is Vivek Kumar Singh role in his workplace?
Vivek Kumar Singh's role in his workplace is Software Engineer
What is Vivek Kumar Singh's tenure in his workplace?
Vivek Kumar Singh's tenure in his workplace is 1.75 years
What is Vivek Kumar Singh's total experience?
Vivek Kumar Singh's total experience is 5.17 years
What is Vivek Kumar Singh's LinkedIn profile?
What is Vivek Kumar Singh's email address?
What is Vivek Kumar Singh's phone/WhatsApp number?
What schools did Vivek Kumar Singh attend?
Vivek Kumar Singh has attended university of mumbai
What companies has Vivek Kumar Singh worked with?
Vivek Kumar Singh has worked with amazon, angel one, augle ai, moneytor
What are some of Vivek Kumar Singh's skills?
Vivek Kumar Singh has skills in Algorithms, Amazon EC2, Amazon ECS, Amazon Kinesis, Amazon S3, Amazon Web Services (AWS) and more.
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