Vishwa K.
Software Engineer at Striim- Claim this Profile
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Bio
Nikhil Karve
I worked with Vishwa at Samsung during his 6 month internship. He comes as a keen, curious and diligent hard worker who strives to deliver his goals. During his internship, he grapsed complex systems which included docker, autosklearn, prediction models and ensembles quickly. He not only completed all assigned tasks but also went far ahead to understand and suggest optimization beyond his immediate scope. Without any doubt, Vishwa will add value to the team he joins.
Nikhil Karve
I worked with Vishwa at Samsung during his 6 month internship. He comes as a keen, curious and diligent hard worker who strives to deliver his goals. During his internship, he grapsed complex systems which included docker, autosklearn, prediction models and ensembles quickly. He not only completed all assigned tasks but also went far ahead to understand and suggest optimization beyond his immediate scope. Without any doubt, Vishwa will add value to the team he joins.
Nikhil Karve
I worked with Vishwa at Samsung during his 6 month internship. He comes as a keen, curious and diligent hard worker who strives to deliver his goals. During his internship, he grapsed complex systems which included docker, autosklearn, prediction models and ensembles quickly. He not only completed all assigned tasks but also went far ahead to understand and suggest optimization beyond his immediate scope. Without any doubt, Vishwa will add value to the team he joins.
Nikhil Karve
I worked with Vishwa at Samsung during his 6 month internship. He comes as a keen, curious and diligent hard worker who strives to deliver his goals. During his internship, he grapsed complex systems which included docker, autosklearn, prediction models and ensembles quickly. He not only completed all assigned tasks but also went far ahead to understand and suggest optimization beyond his immediate scope. Without any doubt, Vishwa will add value to the team he joins.
Credentials
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Structuring Machine Learning Projects
CourseraOct, 2019- Nov, 2024 -
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
CourseraNov, 2018- Nov, 2024 -
Introduction to Data Science in Python
CourseraMay, 2018- Nov, 2024 -
Neural Networks and Deep Learning
CourseraMay, 2018- Nov, 2024
Experience
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Striim
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United States
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Software Development
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100 - 200 Employee
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Software Engineer
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Aug 2020 - Present
- Implemented, from scratch, the backend notification system in Striim's SaaS offering - Worked on creating distributed, scalable applications using Uber Cadence to support the cluster operations in the Striim Cloud platform - Developed an IAM (Identity Access Management) system to ensure that users have federated permissions between the Cloud and Striim-Product layers - Implemented, from scratch, the backend notification system in Striim's SaaS offering - Worked on creating distributed, scalable applications using Uber Cadence to support the cluster operations in the Striim Cloud platform - Developed an IAM (Identity Access Management) system to ensure that users have federated permissions between the Cloud and Striim-Product layers
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Samsung R&D Institute India
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India
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Research Services
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700 & Above Employee
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Student Intern
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Jan 2020 - Jun 2020
- Developed and integrated, from scratch, stack ensembles for the AutoML platform - Worked on Hyperparameter Optimization techniques using Deep Learning - Implemented high cardinality encoding techniques for categorical data - Worked on Positive Unlabelled Learning methodologies - Co-authored a research paper on Automated Hyperparameter Optimization using Reinforcement Learning. Submitted this paper to Samsung's Best Paper Award - Developed and integrated, from scratch, stack ensembles for the AutoML platform - Worked on Hyperparameter Optimization techniques using Deep Learning - Implemented high cardinality encoding techniques for categorical data - Worked on Positive Unlabelled Learning methodologies - Co-authored a research paper on Automated Hyperparameter Optimization using Reinforcement Learning. Submitted this paper to Samsung's Best Paper Award
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Fortinet
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United States
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Computer and Network Security
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700 & Above Employee
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Machine Learning Intern
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May 2019 - Jun 2019
- Developed an application that detects errors and anomalies in network logs using Natural Language Processing and Machine Learning techniques - Created a chatbot interface using Google's Dialogflow API, which allows users to easily access the application - Developed an application that detects errors and anomalies in network logs using Natural Language Processing and Machine Learning techniques - Created a chatbot interface using Google's Dialogflow API, which allows users to easily access the application
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Education
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2016 - 2020
Manipal Institute of Technology
Bachelor of Technology - BTech, Computer Science and Engineering -
2014 - 2016
Greenwood High International School
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