Simran Singhal

Simran Singhal

Mentor
5.0
(55 reviews)
US$21.00
For every 15 mins
124
Sessions/Jobs
ABOUT ME
SWE Indeed | SWE Intern @linuxfoundation '20 | Strong expertise in open source, data structures & programming
SWE Indeed | SWE Intern @linuxfoundation '20 | Strong expertise in open source, data structures & programming

I am Simran Singhal, Software Engineer at Indeed.com.

I have a keen interest in Algorithmic Problem Solving and have been programming for around seven years now. I am an open-source enthusiast and actively contribute to many projects, including the Linux Kernel and Linux Foundation (ONAP intern 2020). Around 100 of my patches are already accepted in Linux. Apart from contributing, I am passionate about mentoring and motivating people to contribute to open-source projects and was Google Code-In Mentor in 2017 for OpenWISP and Sugar Labs.

I interned in Summer 2019 at Indeed.com as a Software Engineer. And, in the Summer of 2018, I did a Machine Learning intern at Robert Bosch Engineering and Private limited, Bengaluru, India (RBEI).

Hindi, English
New Delhi (+05:30)
Joined April 2020
EXPERTISE
5 years experience | 7 endorsements
5 years experience
5 years experience
3 years experience | 1 endorsement
7 years experience | 2 endorsements

REVIEWS FROM CLIENTS

5.0
(55 reviews)
jennifer lai
jennifer lai
April 2024
she is really helpful
Ari
Ari
April 2024
Simran is very helpful!
Amber Martinez
Amber Martinez
March 2024
Amazing help very knowledgeable!!
Andre
Andre
March 2024
Extremely knowledgeable. Great at troubleshooting. Quickly helped me resolve my issue. Thank you again!
Tasmia Noor
Tasmia Noor
March 2024
Simran was quick to find the issues in my code, and was clear in explaining all the necessary changes that were needed for it to function the way I want it.
Jon O'Neill
Jon O'Neill
February 2024
Good communication and good work
William Moore
William Moore
February 2024
Simran was exceptionally knowledgeable about SQL server and TSQL scripting. I recommend her to anyone seeking assistance with SQL scripting and code review.
Armando Monreal
Armando Monreal
February 2024
She was very helpful
Mark Holland
Mark Holland
February 2024
Smooth and efficient call about unit testing as it relates to my visual studio project using C#; now I have some actionable next steps.
Michael Plaxico
Michael Plaxico
February 2024
Simran is phenomenal. High technical acumen. Wicked smart.
EMPLOYMENTS
Software Engineer
Indeed
2020-08-01-Present

I am a software engineer at Indeed.com in their core backend team.

I am a software engineer at Indeed.com in their core backend team.

Java
MongoDB
Spring
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Java
MongoDB
Spring
API
Spring Boot
Apache Kafka
GraphQL
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Software Developer
Open Networking Automation Platform
2020-05-01-2020-12-01
Worked with the ONAP organization under Linux Foundation.
Worked with the ONAP organization under Linux Foundation.
Java
Java
Research Assistant
IIIT Hyderabad
2017-08-01-2020-04-01
Using applications of Machine Learning for finding faults in buildings
Using applications of Machine Learning for finding faults in buildings
Python
Android
Django
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Python
Android
Django
NumPy
Pandas
Machine Learning
Algorithm
Data Science
MATLAB
Data structure
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PROJECTS
SQL EngineView Project
2017
Built an emulation of an SQL engine in Python which took SQL commands as input, and using given database, provided the related output. Im...
Built an emulation of an SQL engine in Python which took SQL commands as input, and using given database, provided the related output. Implemented query parsing, syntax error detection, and data integrity maintenance from scratch.
Python
NumPy
Pandas
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Python
NumPy
Pandas
Python 3
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Music Instrument RecognitionView Project
2017
Implemented this for automatic instrument recognition given a monophonic and monotimbral audio recording; Dataset comprises of total 5438...
Implemented this for automatic instrument recognition given a monophonic and monotimbral audio recording; Dataset comprises of total 5438 samples of 7 instruments commonly used in rock music bands; Designed novel feature set that allow us to obtain 99.3% classification accuracy using an SVM.
Python
Bash
Machine Learning
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Python
Bash
Machine Learning
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