Palak Gosalia | Software Developer

Hi, I'm Palak Gosalia

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A young woman in tech and fueled by passion, I am an enthusiastic learner, hardworking individual and a good team player.

About

I completed my Masters degree in Electrical and Computer Engineering from Stony Brook University, and my interests lie in Software Development and Data Science. I have experience working on full-stack technologies like React, NextJS, NodeJS, Typescript and I am constantly open to new learning.

With a will to strive in new challenges, I am on the lookout for opportunities and experiences where I can learn, grow and make a positive impact by applying my skills.

Experience

One Community Global

Software Engineer Volunteer

Collaborated with the engineering team for the development of a React-based web application aimed at enhancing team, projects and material management processes
Skills: React, NodeJS

Oct 2023 - Present | Remote, USA

Stony Brook University

Voluntary Graduate Researcher

Trained and fine-tuned a YoloV5 Object detection model using label annotations and a Resnet classification model to get a 99.95% accuracy in detecting a 3D vs 2D custom ID card to prevent Identity Theft in Universities
Skills: Python, YoloV5, Resnet, OpenCV

Feb 2023 - Sept 2023 | NY, USA

Evernote Corporation

Software Engineering Intern

Designed a NextJS (React Extension) application to provide an interface listing all email templates and developed an API using Google Cloud Pub/Sub to help teams test emails that go through Notifications Service
Incorporated CI/CD pipeline by creating Dockerfiles and groovy files to run a Jenkins job ensuring smooth deployment of the application
Implemented a Selenium script in Python to upload new email templates to Iterable, automating the process of adding new email templates to Notifications Service and speeding up the process by 35%
Documented a step-by-step guide for generating campaigns and uploading email templates to Iterable, simplifying the process for the entire team
Skills: React, NextJS, NodeJS, Selenium, Python, Google Cloud Pub/Sub, Jenkins, Docker, Kubernetes, Git, BitBucket, JIRA

May 2022 - Aug 2022 | California, USA

Projects

                           
Predicting Survival Chances of Titanic Passengers
                              Titanic survival prediction using Decision Tree Classifier
                           
                           Accomplishments
                           Tools: Python, sklearn, Data Mining
Developed and implemented a Decision Tree Classifier model to predict the survival chances of Titanic passengers based on features such as age, gender, and socio-economic status.
Preprocessed and analyzed the “Titanic: Machine Learning from Disaster” dataset, handling missing values and transforming categorical variables into numerical representations.
Conducted model evaluation and hyperparameter tuning, optimizing performance of the decision tree classifier.

Modeling Microstrip Antenna
                              Automation of antenna design using Neural Networks 
                           
                           Accomplishments
                           Tools: IE3D, Python, PyTorch, Neural Networks
Designed and fine-tuned rectangular microstrip antennas on IE3D software to generate a dataset.
Trained a two-step ANN, to predict length, width, and e-slot dimensions of the microstrip antenna for a wide range of frequencies, automating the process of manual regressions required to predict these dimensions.
Carried out measurements at different substrate thicknesses at a given frequency and compared results with the projected values to get 97% accuracy of predictions made by ANN.

Smart Hands
                              A speech to sign language Android app
                           
                           Accomplishments
                           Tools: Java, Android, TextIt
Developed an Android based Java application that converts English and multiple Indian languages to standard sign languages to ease the language barrier faced by Speech and hearing-impaired people.