aboutMe.js
> const DAKSH_JAIN = ;
> var interests = ["Software Engineering", "Machine Learning", "Fullstack Development"];
Experience
Title: Software Engineer III
Technologies: Go, Python
Currently, I am working on tooling that enables Google Cloud to track and mitigate risks within its system. My team also works
to help Google automatically identify risks through the power of LLM. Furthermore, I work on a team that helps engineers ensure that
we meet SLOs on customer issues.
Title: Software Development Engineer
Technologies: Java
Working on developing new features and applications within the Amazon marketplace. Provide users with a better experience in
searching for various products and deals within the retail store.
Title: Process Engineering Intern
Worked on creating Excel tools for analyzing temperature profiles within Liquid Natural Gas Heat Exchangers.
Worked in VBA to automate the process of these calculations. Also designed a tool for determining heat exchanger costs
for 5+ designs.
Title: Software Engineering Intern
Technologies: .NET Framework, SQL, CSS, JS, C#
Worked on developing Illuminate Suite, a software to improve accessibility and security of
nuclear plant security. I desigend Forward Access Point, the primary application for security personnel
to determine if a person is granted or denied access to the plant.
Projects
Technologies: MongoDB, Express, React, Node
Languages: JavaScript, HTML, CSS
About: A React application that I used to teach myself more
about modern day frameworks and how to create my own fullstack applications. This project has features
including user authentication and gambling games including BlackJack, Roulette, and Slots. I learned how to
use hook based React to manage contexts and other state variables within the application.
I also implemented JWT authentication in cookies to persist a user login throughout their time on the site.
This website is deployed here. Feel free to register and try
out the features that I have added so far!
Note: The link to the Heroku deployment may take several minutes to activate
due to Heroku's idling state which redeploys the app after long periods of inactivity. To speed up the process, please
also go to this to start up the back-end express server also hosted on Heroku.
Languages: Python
About: This project implements the Term Frequency - Inverse Document
Frequency search algorithm on provided text documents. This algorithm weights words
based on the number of times it appears in the document with the inverse of the times the word appears in
the total collection of documents. Although this search algorithm is not the bleeding edge of today's search algorithms such as PageRank,
it provides a simple, yet effective technique for determining the most relevant document/pages from a user's search.
Languages: JavaScript
About: This project is a chrome extension that allows users to
save "sticky notes" based on the domain they are currently on. It is also enabled with Google Chrome
Sync, meaning a sticky note saved on the user's desktop will also appear on their laptop or other
computers where the user is signed in. For example, it may be helpful for jotting notes from Wikipedia in your browswer without
having to switch to another application like Microsoft Word. Also, the user can simply come back to www.wikpedia.org on the original
or different computer, and use or continue taking more notes.
Technologies: SciKit-Learn or TensorFlow
Languages: MATLAB, Python
About: During a statistics course called Random Variability in Chemical Processes, I learned about
the Disbiome Database which stores data about "microbial composition changes in different kinds
of disease." After speaking with a professor about this topic more, I learned more about the possible correlation that may exist between the
microbiome of a person and the likeliness/chance they may have a disease. So far, I have used MATLAB to create a prelimenary identifier that
detects if there is a positive, negative, or no correlation between the data. From these results, there seems to be some trends towards certain
microbes having a strong correlation between the probability the person will acquire an illness. I have taken a course on Machine Learning
and continuing to learn more to determine the best selection of tools for this task.
Contact
Thank you for reaching out! I will reach back to you as soon as possible!