Sweta Kumari

Sweta Kumari

New York, US
[email protected]
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Sweta Kumari

Software Engineer, Artist

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    • About me

    Sweta Kumari

    Sweta Kumari

    Seattle, US

    I am a Software Developer by profession and a Poet by heart.

    While growing up in suburbs of a small town in India , I was super astonished by technology. So, I decided to learn more about it and enrolled myself in computer science. Knowing any skill makes you feel empowered, and learning computer science did the same to me. So, when I got a chance to help others out, I jumped to take the opportunity of mentoring women of different backgrounds with 1 Million Women To Tech initiative. This is something that I am proud of.

    I believe writing code is like writing poetry, it should rhyme with the use case and should have emotions to express.

    When I am not doing all these, I can be found at a beach watching sunsets, hiking or looking for adventure

    Experiences

    "Do not read so much, look about you and think of what you see there." - Richard Feynman
    Microsoft
    June 2020 - Present
    Software Engineer

    • Led data engineering effort for Tips team which resulted in clean readily available data for analytics - including creating pipelines, extracting, transforming, storing data and privacy compliance.
    • Worked on adding personalization abilities to the app, resulting in increased user engagement.
    • Worked on making the app telemetry richer for understanding and making better design decisions.
    • Mentored junior engineer and new hires

    Juniper Networks
    February 2019 - June 2020
    Software Engineer

    Worked as Software Engineer in team called AppFormix, which is a cloud service optimization tool that provides advanced monitoring, scheduling, and performance management for software-defined infrastructure.

    • Designed and developed a network device telemetry project as Kubernetes app
    • Developed modules across services and data engineering pipeline.
    • Load Tested modules to benchmark performance and removed bottlenecks to reduce memory footprints.
    • Worked on Kubernetes monitoring support for AppFormix, a monitoring/management product for multi cloud.
    • Worked on Python2 to Python3 product migration.

    1 Million Women to Tech
    June 2018 - September 2018
    Mentor - Python

    With my passion of introducing more women to coding and technology, I contribute to 1 Million Women To Tech initiative by mentoring women of various backgrounds and skill sets. I help them code in Python.

    Broadridge Financial Solutions
    June 2018 - Aug 2018
    Software Engineer Intern

    Worked on Flask based web app to automate multiple business use cases like document/message classification using machine learning techniques

    Social Neuroscience Development Laboratory @ SBU
    April 2018 - Present
    Research Project Assistant

    Assisting the lab in extracting useful data from fMRI outputs and doing statistical analysis on them.

    Barclays
    July 2015 - Aug 2017
    Software Engineer

    • Worked with Barclays Notification Engine team & received recognition for extraordinary commitment.
    • Integrated new adapters using Java to lower the cost of customer notifications sent across the bank.
    • Implemented a two-way SMS service in Java, using which customers can chat with customer care.
    • Developed a tool to automate build and test in pre-production phase.

    Educations

    Stony Brook University
    2017 - 2018
    Masters in Computer Science
    Sharda University
    2011 - 2015
    Bachelors in Computer Science

    Skills

    Python    C#    SQL    Data Engineering    Kubernetes    Azure    Flask    Spring   JUnit   REST   Microservices   Git   Agile   Big Data   Blockchain

    Awards and Achievements

    • Best Mental Health Hack and Best UI/UX - HackHealth '18 @ SBU
    • Global Recognition Award - Barclays
    • Winner at Poetry Competition - Embrace @ Barclays
    • Completed Level 3 (of 5) on Google Foobar challenge

    Hackathons and Online Contests

    HackHealth@SBU - 2018 - WINNER    Hack@CEWIT   Google Foobar   Global Data Hackathon - Barclays   BSIC Decentralized Impact Incubator Hackathon   Code Jam to I/O for Women   Human Posture Recognition - Ideation Challenge - Topcoder

    Projects

    Document Classifier Engine

    Document Classifier Engine

    Developed a 8-way document classifier model with accuracy of ~94% by using Machine Learning techniques like SVM, Naive Bayes.
    Python scikit-learn Machine Learning
    Adding Salmon-based Modules to MultiQC

    Adding Salmon-based Modules to MultiQC

    MultiQC is a tool used for analyzing multiple sequencing samples together. The tool itself has the ability to parse through different types of outputs and generate reports. So, for example, if a folder contains the output of multiple runs of Salmon (a quantification and mapping tool), MultiQC will be able to parse through them, read the log files, determine which tool was run on the samples, filter out particular features and generate a report using them. The purpose of this project is to make modules for MultiQC that are Salmon-specific.
    Python Bioinformatics
    Solace - A chatbot for people in crisis

    Solace - A chatbot for people in crisis

    A webapp that has a built-in intelligent chatbot which talks to people in distress and helps them overcome anxiety, stress, depression, anger, etc using various suggestions and techniques and also learning from the user's personality traits.
    IBM Watson Flask HTML/CSS/JS See this project
    Implementing G-OLA logic in Spark streaming

    Implementing G-OLA logic in Spark streaming

    More and more data is being generated every second and is being processed, but the processing of such huge data is turning into long batch jobs. To address this problem, we tried a state based approach on streaming data to make it interactive. The approach was based on a mini-batch execution model called G-OLA based on online aggregation(OLA) to support interactive analysis on batch queries. We basically considered each RDD as a mini-batch and stored a state of it which will be merged with the next RDD to output an answer.
    PySpark Big Data Research
    Los Angeles Payroll Analysis

    Los Angeles Payroll Analysis

    Performed series of hypothesis testing on official LA payroll data of government employees ranging from 2013 to 2016
    Python T-test KS Test Linear Regression Wald's Test See this project
    BSIC Decentralized Impact Incubator Hackathon-Refugees

    BSIC Decentralized Impact Incubator Hackathon-Refugees

    The Decentralized Impact Incubator was a 6-week program to ideate and prototype blockchain-based solutions to global social and environmental challenges. During the period, we ideated and worked on a solution for helping refugees in their identity management and financial aid using blockchain.
    Blockchain Ideation

    Let's connect !

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