Hello, World!

I'm Srinithyee

More About Me
About

Let me introduce myself

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A motivated and driven software engineer with the ability to adapt to any situation and proven potential to grow self and others. Intrigued by the goal to bring more humanity and creativity to technology and business.

Profile

  • Fullname: Srinithyee S K
  • Birth Date: July 22, 2000
  • Email: sksrinithyee@gmail.com

LANGUAGES

  • 90%
    JAVA
  • 85%
    PYTHON
  • 80%
    R
  • 70%
    C
  • 75%
    JAVASCRIPT
  • 70%
    SCALA

More of my credentials

Work Experience

SDE 2

Aug 2022 - Present

Walmart Global Tech

  • Part of the Enterprise Business Solutions Team
  • Developing business solutions for anti money laundering at Walmart
  • SDE Intern

    Jan 2022 - July 2022

    Walmart Global Tech

  • Part of the International Tech Team.
  • Developed microservices for item availability functionality of ecommerce store - MassMart in South Africa
  • Data Science Fellow

    March 2021 - May 2021

    Mozilla

  • One of the top 0.2% applicants across the world, to be mentored by Data Scientists at Mozilla.
  • Contributed to Data Science Project centered around Identifying usage personalities in Firefox.
  • Open Source Developer

    March 2021 - May 2021

    OCaml

  • Contributed to improving the OCaml.org website.
  • Team Leader at Summer Of Ideas

    September 2020 - December 2020

    Infosys

  • Selected to be one of the 200 participants from a pool of 100000+ applicants from 35+ countries.
  • Developed a pioneer testing framework, used to test different ASR systems based on Word Error Rate
  • Winner of DevelopHER

    August 2020

    Twitter

  • Selected to be one of the 30 participants invited to attend this event that included leadership, professional and technical development.
  • Spearheaded my team of 5 to win first place in ReadySetCode Challenge with coding questions specially curated by Twitter Engineers modeled on Real World Problems.
  • Research Assistant

    December 2019 - August 2020

    Sri SivaSubramaniya Nadar College Of Engineering

  • Proposed a new optimized edge detection algorithm which uses a fractional order mask for convolution to demarcate the edges.
  • The Proposed algorithm is resistant to noise and can adapt to efficient detection of edges in any type of image and runs 65 times faster than the state of art Canny Algorithm.The paper is published in InternationalJournal Of Information Technology.
  • Education

    Bachelor of Computer Science Engineering

    August 2018 - Present

    Sri SivaSubraminya Nadar College of Engineering

  • GPA : 8.8/10.0
  • Member : Coding Community, Google's Developer Student Club, Q! (Quiz Club), English Literary Club (Debate Society)

  • ISC

    June 2017-May 2018

    Vaels International School

  • 95.3/100
  • Secured 19th rank in India
  • School Pupil Leader
  • ICSE

    June 2015 - May 2016

    Vaels International School

  • 96.3/100
  • National Topper in Computer Applications
  • Cultural Secretary
  • Projects

    Check Out Some of my Projects

    Contact

    Let's Connect!

    Where to find me

    Chennai 119
    Tamil Nadu
    India

    Email Me At

    sksrinithyee@gmail.com