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Hi, I am Sarabpreet Singh Anand

Sarabpreet Singh Anand

Delivery Operations Manager - Databases at IBM\Kyndryl

Data Enthusiast & Former Microsoft Data Platform MVP (Most Valuable Professional) with 16+ years of Industry experience. Overlooking Service Delivery Operations for a Global Financial customer with a team of 49 highly skilled engineers. Passionate Speaker & Learner. Love to work on Automation & fun projects.

Former Microsoft Most Valuable Professional Data Platform
Microsoft Certified Azure Administrator Associate
Data Science Foundations Specialization
Google Cloud Professional Cloud Architect GCP
Microsoft Certified Azure Database Administrator Associate
Data Science Orientation
Data Science Methodology
Databases and SQL for Data Science
Tools for Data Science
Big Data Foundations Level 1
Python for Data Science
Data Science Foundations Level 1
Microsoft Certified Trainer
Provisioning SQL Databases Azure
MCSA SQL 2016 Database Administration Certified 2019
Microsoft Certified Azure Administrator Associate
Leadership
Team Work
Hard Working

Skills

Experiences

1
IBM \ Kyndryl

Nov 2017 - Present, Noida

Example Co. is a widely recognized company for cloud-native development. It builds tools for Kubernetes.

Senior Software Engineer

Nov 2019 - Present

  • Design and develop XYZ tool for ABC task
  • Design, develop and manage disaster recovery tool Xtool that backup Kubernetes volumes, databases, and cluster’s resource definition.
  • Lead backend team.
Junior Software Engineer

Nov 2017 - Oct 2019

  • Implement and test xyz feature for abc tool.
  • Support client for abc tool.
  • Learn k,d,w technology for xyz.

Software Engineer
PreExample Co.

March 2016 - May 2017, Nowhere

PreExample Co. is a gateway company to enter into Example co. So, nothing special here.

Responsibilities:
  • Write lots of example codes.
  • Read lots of examples.
  • See lots of example videos.
2

3
Intern
Intern Counting Company (ICC).

Jun 2015 - Jan 2016, Intern Land

Intern counting Company (ICC) is responsible for counting worldwide intern Engineers.

Responsibilities:
  • Count lost of interns.
  • Count more interns.
  • Count me as an intern.

Education

B.Sc. in Computer Science & Engineering
CGPA: 3.5 out of 4
Taken Courses
Course NameTotal CreditObtained Credit
Data Structures and Algorithm43.75
Network Security43.8
Operating System43.5
Artificial Intelligent43.75
Extracurricular Activities
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  • Duis sed massa feugiat, ornare justo et, aliquam est.
  • Pellentesque ut fringilla magna.
Higher Secondary School Certificate
GPA: 5 out of 5
Extracurricular Activities
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  • Vestibulum consectetur lorem justo, at laoreet lorem feugiat et.
  • Duis sed massa feugiat, ornare justo et, aliquam est.
  • Pellentesque ut fringilla magna.
JK School of Science
2005-2010
Secondary School Certificate
GPA: 4.5 out of 5

Projects

Kubernetes
Kubernetes
Contributor March 2018 - Present

Production-Grade Container Scheduling and Management.

Tensorflow
Tensorflow
Developer Jun 2018 - Present

An Open Source Machine Learning Framework for Everyone.

A sample academic paper
Team Lead Jan 2017 - Nov 2017

Lorem ipsum dolor sit amet consectetur adipisicing elit. Sapiente eius reprehenderit animi suscipit autem eligendi esse amet aliquid error eum. Accusantium distinctio soluta aliquid quas placeat modi suscipit eligendi nisi.

Nocode
Nocode
Nothing Oct 2019 - Dec 2019

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

Toha
Toha
Owner Jun 2019 - Present

A Hugo theme for personal portfolio.

Recent Posts

Accomplishments

Linux Foundation System Administrator
Linux Foundation March 2018 - March 2019

This course helps to understand the key concepts such as networking, storage, security, maintenance, logging and monitoring, application lifecycle, troubleshooting, API object primitives etc. It also help to grow the ability to establish basic use-cases for end users.

Machine Learning
Coursera Jun 2020 - Jan 2021

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).

Grokking the System Design Interview
educative Jan 2018 - Sept 2018

This course is a complete guide to master the SDIs. It is created by hiring managers who’ve been working at Google, Facebook, Microsoft, and Amazon. We’ve carefully chosen a set of questions that have not only been repeatedly asked at top companies, but also provide a thorough experience to handle any system design problem.

Mastering Multithreading Programming with Go (Golang)
Udemy Nov 2017 - Mar 2018

Discover how to create responsive and high performance software. Develop programs with Golang that are highly Concurrent and Parallel. Improve your programming skills in Go with more advanced, mulithreading topics.

Achievements

Best Presenter

Champion

Graduation

Award Winner