Manish Suthar Email & Phone Number
@rakuten.com
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Who is Manish Suthar? Overview
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Manish Suthar is listed as Machine Learning Engineer at Meta at Meta, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at rakuten.com and a matched LinkedIn profile for Manish Suthar.
Manish Suthar previously worked as Machine Learning Engineer at Meta and Machine Learning Engineer II at Rakuten. Manish Suthar holds Master Of Science - Ms, Computer Science from Northwestern University.
Email format at Meta
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AeroLeads found 1 current-domain work email signal for Manish Suthar. Compare company email patterns before reaching out.
About Manish Suthar
Manish Suthar is a Machine Learning Engineer at Meta at Meta. He possess expertise in information technology, java, customer service, networking, troubleshooting and 33 more skills. Colleagues describe him as "To whom it may concern: This letter is my personal recommendation for Manish Suthar. For the past several years, I have been Manish’s college and athletic teammate. Working closely with Manish, I found his enthusiasm and dedication to be highly contagious. Manish is both vibrant and easy to work, but also takes initiative. During his time at IIT, Manish has had a take-charge attitude, presenting creative and well thought ideas, convincing most students of their inherent benefits. Manish was also extraordinarily helpful in many areas of the Institution. Along with generating community involvement, Manish has single handedly helped countless students with homework and leadership tactics. I highly recommend Manish for employment with your company. He is a team player and would be an asset to any organization. Sincerely, Anthony Loss"
Listed skills include Information Technology, Java, Customer Service, Networking, and 34 others.
Manish Suthar's current company
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Manish Suthar work experience
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Machine Learning Engineer Ii
- Objective – Building the first fully autonomous 5g Mobile Network following ORAN specificationsAI Power savings (patent pending approval): Developed LSTM models to predict CPU traffic patterns to dynamically adjust CPU.
- Used 500+ key performance indicators as predictors to predict CPU usage 10 minutes in advance
- Clustering to group together similar servers based on traffic patterns using TSNE
- Reduced operational costs on mobile network by 35%AI Hardware Maintenance (patent pending approval): developed forecasting models to predict server failure anywhere from 3 hours to 7 days in advance
- Merged Radio Access Network (RAN) data with telegraf data to generate over 2,000 features for analysis
- Trained deep autoencoders to identify anomalies in multivariate timeseries to identify leading indicators for server failure
Data Science Intern
- Designed and implemented a statistical model for anomaly detection on time series data o Applied to 300+ Key Performance Indicators such as server and cellular network metrics o Forecasting expected values for KPIs.
- Data Engineering o Developed automated Exploratory Data Analysis engine to identify best fit distribution of dataset, clean data, identify correlations amongst features, and develop visualizations (box plots, frequency.
Software Engineering Intern
- Designed, developed, and implemented generic database schema generator to maintain customer’s network profiles o Designed recursive algorithm to parse input yang files to identify tables and entity relationships.
- Developed Splunk Application to monitor and display server and application level data of Cisco hardware/software o JavaScript programming to automate Splunk functionalities: querying, displaying visualization.
Software Engineering Intern
- Developed scripts to perform health checks on customer enterprise servers
- Developed a Data Collector to automate application performance monitoring and error discovery
- Designed, presented, and implemented software solutions to a licensing utility used in 20+ internal applications
- Executed Unit and Integration tests on various applications
- Developed a self-extracting binary to install applications onto enterprise servers
Software Engineering Intern
- Android development using Android Studio
- JUnit to test and debug applications
- Developed setup wizard to instruct user how to use application
- JSON and XML to develop dynamic and static layouts
- Developed server widget to indicate server status using HTML and JavaScript
Computer Technician
- Configuring Servers for deployment based on customer specifications
- Server administration via terminal
- Datacenter management
- Troubleshooting network errors
Manish Suthar education
Master Of Science - Ms, Computer Science
Computer Science
Frequently asked questions about Manish Suthar
Quick answers generated from the profile data available on this page.
What company does Manish Suthar work for?
Manish Suthar works for Meta.
What is Manish Suthar's role at Meta?
Manish Suthar is listed as Machine Learning Engineer at Meta at Meta.
What is Manish Suthar's email address?
AeroLeads has found 1 work email signal at @rakuten.com for Manish Suthar at Meta.
Where is Manish Suthar based?
Manish Suthar is based in San Francisco Bay Area, United States, United States while working with Meta.
What companies has Manish Suthar worked for?
Manish Suthar has worked for Meta, Rakuten, Cisco, Eventqueue, and Enzu Inc..
How can I contact Manish Suthar?
You can use AeroLeads to view verified contact signals for Manish Suthar at Meta, including work email, phone, and LinkedIn data when available.
What schools did Manish Suthar attend?
Manish Suthar holds Master Of Science - Ms, Computer Science from Northwestern University.
What skills is Manish Suthar known for?
Manish Suthar is listed with skills including Information Technology, Java, Customer Service, Networking, Troubleshooting, C++, Microsoft Excel, and Leadership.
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