Vyas Bhagwat
Senior Software Development Engineer at Oracle Cloud Infrastructure
6.5
Years of Experience
Education
san jose state university, maharashtra institute of technology
Companies
oracle, wave computing, san jose state university, bill.com, zs associates, tata
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Experience
2019 - Present
oracle
Senior Software Development Engineer
2018 - 2019
wave computing
Machine Learning Software Engineer
• Designed system software architecture for real-time Visual Analytics pipeline for Wave's novel hardware as well as commodity hardware. • Implemented and tested the distributed pipeline using big data technologies - Apache Kafka, Spark, and Hadoop. Guided an offshore team to accomplish this task. • Integrated KubeFlow with the existing Kubernetes cluster to enable workflows and distributed training. • Implemented and Benchmarked Image Super-Resolution framework using SRGAN Network in TensorFlow and Pytorch. • Provided training for Docker within the team.
2018 - 2018
san jose state university
Graduate Student Assistant
Graduate Student Assistant for CMPE 258 Deep Learning
2017 - 2017
bill.com
Risk Management Intern
• Enhanced existing Risk Model to quantify Credit Risk and Fraud Risk for each account in the payments product. • Used statistical techniques like Principal Component Analysis, captured and scored additional data points from existing transactional database. • Extracted data from Oracle database and performed data preparation with Python Pandas. • Built Anti Money Laundering model by coordinating with the legal team. • Automated existing excel reports using Python Pandas.
2015 - 2016
zs associates
Technology Analyst
• Built Mobile (iPad App) and Web sales reports using MicroStrategy. • Developed front-end dashboards, designed the cube and dataset structure, created and maintained schema objects. • Performed operations for this app, monitored cubes, performed data validation and testing using WinSQL and IBM Netezza. • Created scripts to automate the cube publish process, which reduced the time and effort in operations. • Communicated designs, client requirements, issues with the onshore team on a daily basis.
2014 - 2015
tata
Research Intern
• Developed a learning tool (recommender system) which takes an input from the user and returns the appropriate results in a stipulated amount of time. • Input is the topic the user wants to search, the amount of time the user has at his disposal and the difficulty level. • Based on Philip Goo’s research ; used various tests like Flesch – Kincaid readability tests and various API’s like Google Search API, YouTube API etc. • Used miners and various other tools. Used to a static repository to reduce the amount of execution time. • Developed the learning tool in a team of 4 under the guidance of senior scientist Mr. Niranjan Pedanekar, at the prestigious Tata Research, Development and Design Centre.
Experience
24 Skills
Algorithms
analytics
apache
Apache Spark
architecture
Big Data
Deep Learning
Docker
GitHub
Hadoop
Hardware
Hypertext Transfer Protocol (HTTP)
infra
Infrastructure
Kafka
Kubernetes
Machine Learning (ML)
Python
Pytorch
SAN
sdlc
Software Development Life Cycle (SDLC)
Software Engineer
Tensorflow
Education
2016 - 2018
san jose state university
Master of Science (M.S.)
Computer Science
2011 - 2015
maharashtra institute of technology
Bachelor of Engineering (B.E.)
Computer Engineering
