Himani Parikh

Wayne, NJ | +1 (551)-529-6626 | himani324parikh@gmail.com| linkedin.com/himani-parikh | github.com/Himani

EDUCATION
New York Institute of Technology, Manhattan, NY M.S. in Computer Science (GPA: 3.77/4) Aug 2022-May 2024
Gujarat Technological University, Gujarat, India B.Tech. in Computer Engineering (GPA: 3.3/4) Aug 2015-May 2019

WORK EXPERIENCE
Graduate Teaching Assistant Manhattan, NY | Aug 2022-Present
New York Institute of Technology
• Collaborated with the professor and fellow TAs to optimize course operations (Java, DSA), resulting in a 20% increase in overall student satisfaction.
• Contributed to a 25% improvement in assignment completion rates by providing hands-on support to students through code review and bug-fixing.
Software Engineer Vadodara, India | Jan 2019-Dec 2020
Sunflower Lab
ZinniaX-IONM (Java, Spring boot, Spring Security, Angular, MySQL, Gradle, Swagger, Jenkins, AWS, S3, EC2)
• Key team member advancing the company's SaaS healthcare product, ensuring daily delivery of critical project deliverables.
• Involved in all the steps of the software development life cycle like coding, testing, and debugging, and deploying the applications using Jenkins and
AWS in production.
• Reduced the cost involved in generating the application’s various reports, invoices, email templates, and CMS 1500-Health insurance claim form by
more than 50% by devising an automated system using Spring boot, Thymeleaf, Itext, Jasper Report, and Angular.
• Solely executed the implementation of time zone-related challenges throughout the entire application, both on the front end and back end.
• Mentored new interns in demonstrating the whole project workflow, an efficient coding technique, with new technologies/ideas.
Ahoy! ON-CALL (Java, Spring boot, Spring Security, Angular, MySQL, Gradle, Swagger, Jenkins, AWS, S3, EC2)
• Elevated project success by implementing Angular for efficient data retrieval, optimizing performance through JSON-based RESTful services, and
contributing significantly to the success of a pivotal healthcare software initiative.
• Increased application performance by optimizing database complex queries and code refactoring using SonarQube.
• Formulated unit test cases for JavaScript codebase and Angular components using JEST and Enzyme and increased the test coverage by 22%.
• Engaged directly with the clients and developed the application incrementally based on their feedback.
Software Engineer Intern Vadodara, India | Jul 2018-Jan 2019
Sunflower Lab
Sunflower Employee Portal (Java, Spring Microservice, Spring JPA, MySQL, AWS, Junit, Angular)
• Worked in an agile environment and orchestrated the development of an employee profiling microservice from scratch utilizing Spring Microservice,
Angular, and AWS-S3 to maintain structured employee information.
• Redesigned UI and improvised the logic of the Employee Progress Dashboard functionality by incorporating Chart.js, Google Calendar API, and
Angular Material. Empowered project manager for efficient monitoring of employee progress and workload.
• Contributed and facilitated product architectural discussions that brought out best-of-breed solutions.

PROJECTS
AutocodeGrader-AI enhanced grading system (Python, CodeLlama, Hugging-face, React.js, Express.js, MongoDB, Node.js) Jan 2024-Present
• Leveraging Python and Meta's LLM model - CodeLlama, to refine an AI-powered grading system, AutocodeGrader, aiming at streamlining assessment
processes in the educational sector.
• Contributing to the continuous improvement of the LLM model by fine-tuning its algorithms and optimizing its performance for grading various types
of coding assignments effectively.
• Designing and implementing features to provide students with immediate feedback and scores on their assignments, fostering a more interactive
learning environment.
Handwritten Recognition (Neural Network, Python, Tensorflow, Keras, Convolutional Neural Network (CNN)) Oct 2023-Nov 2023
• Developed and implemented a 4-layer CNN for handwritten digit recognition (0-9) using Python and TensorFlow-Keras.
• Achieved a remarkable 93% accuracy through meticulous construction, training, and optimization of the model on the MNIST dataset.
• Implemented Mini-Batch Gradient Descent, ReLU, and Dropout to prevent overfitting, ensuring the model's robust generalizability to new data.
Sleep Quality Prediction (Python, Scikit-Learn, Pandas, NumPy, Matplotlib) Feb 2023-Mar 2023
• Used sleep dataset from SC Sleep-EDF Database and trained and tested algorithms on the dataset by splitting it using 10-fold cross-validation.
• Performed Naïve Base, Decision Tree, Random Forest, Linear discriminate analysis, Quadratic discriminate analysis, and Multilayer Perceptron.
• Achieved the best performance Quadratic discriminate analysis (93%), and Multilayer Perceptron (92%) with fewer features -14.
Document Similarity (Python, NLP, Scikit-Learn, Pandas, NumPy, Matplotlib) Nov 2022-Dec 2022
• Developed a document similarity analysis tool (NLP) that can compare and measure the similarity between a collection of documents in Python.
• Used Term Frequency-Inverse Document Frequency (TF-IDF), Latent Semantic Indexing, Jaccard and cosine algorithms to identify similarity using the
presidential speech dataset and other library such as Pandas, NumPy, Scikit-Learn, NLTK - data manipulation, vectorization, and text preprocessing.
EVA-Referential Based System (Java, Spring boot, Gradle, Angular, MySQL, Bootstrap, Heroku) Sep 2021-Nov 2021
• Spearheaded a business networking application to help business professionals expand their business by creating groups with other businesses.
• Collaborated with the team partner to implement functionalities like chat, event scheduler, region-based group meeting, email notification, and
payment gateway using Spring boot and Angular.
ITS – Operation Management (Spring MVC, MySQL, AJAX, Spring Security,) Mar 2021-Jun 2021
• Created Java EE web application following Java Spring MVC architecture for hybrid learning operation management.
• Utilized AJAX technology for search operation and implemented dependency injection using Spring IOC container.

SKILLS
Languages Core Java, Python, JavaScript, Typescript
Back-end Development Spring Boot, Hibernate, JPA, Maven, Gradle, Thymeleaf, QueryDSL, Junit, Express.js, Node.js
Database MySQL, SQL/PLSQL, MongoDB
Front-end Development Angular, React.js, HTML5, CSS3, Bootstrap, Angular Material, Jest & Enzyme
Machine Learning libraries Large Language Model, Scikit-learn, Tensorflow, Keras, Pytorch, NumPy, Pandas, Spacy, NLTK
Other Tools/Methodologies RESTAPI, Question Driven Development (QDD), JSON, Apache-POI, Itext, OAuth, Git, Amazon Web Service, EC2, S3,
Agile Methodologies, Jenkins, Swagger, SonarQube, Kibana, Test Driven Development (TDD) Software Development
Life Cycle (SDLC), Docker.
Grad Coursework Algorithms, Data Structures, Machine Learning, Deep Learning, Data Mining, Object-oriented Programming, Big Data
Analytics, Operating System & Security