MANSI VEKARIYA

408-***-**** + San Jose, CA

§ Github/Mansi ï LinkedIn/MansiVekariya # ad0onf@r.postjobfree.com EDUCATION

San Jose State University, USA August 2023 - May 2025 Master of Science in Software Engineering

Coursework: Enterprise Software Platforms, Data Mining, Advance Data Mining Gujarat Technical University, India July 2018 - May 2022 B.Tech in Computer Science and Engineering GPA: 3.97/4.00 Coursework: Algorithm Design and Analysis,Database Management System, Machine Learning, Software Engineering SKILLS

Languages: Python, HTML, CSS, JavaScript (React, Node.js, Express.js), Java, C/C++ Database: MySQL, phpMyAdmin, MongoDB

Tools: Git, GitHub, VS Code, Microsoft Excel, PyCharm, Google Colab, Docker, AWS, Tableau, XAMPP- Apache, JIRA Libraries/Technologies: Agile development methodologies, REST APIs, Micro-services, Srping MVC, JWT, Pandas, NumPy, Matplotlib, Scikit-learn, Django

EXPERIENCE

Software Engineer BrainyBeam Technologies Pvt. Ltd., India January 2022 - November 2022

• Led the development of client-side web based software using Django (ORM), HTML/CSS, JavaScript and SQLite3 for inventory management of retail and wholesale pharmacies which helped in reducing holding costs by 15%.

• Successfully managed data integrity and optimized query performance reducing database latency by 20%.

• Implemented role-based user authentication and authorization, utilized Django’s caching mechanism to enhance system performance, reducing page load times by 25%.

Software Engineer Akash TechnoLabs, India June 2021 - July 2021

• Developed web application using HTML, CSS, JavaScript, Node.js, and Express.js, offering an interface that streamlined the engagement between photographers and clients.

• Implemented CRUD operations using phpMyAdmin for database administration over XAMPP, leading to improved data transaction efficiency.

PROJECTS

YouTube Clone System MERN stack, Redux Toolkit, JWT, React, Node, MongoDB, Firebase

• Developed a scalable web application mirroring YouTube’s key features using the MERN stack, enabling user-specific actions such as video search, upload, interactions, and tailored recommendations.

• Implemented a micro-services architecture to create a robust backend using Node.js and Express.js by developing 10+ RESTful API endpoints.

• Integrated Firebase for user authentication, enhanced user experience using React hooks and streamlined like/dislike actions with Redux Toolkit which led to a 20% improvement in re-render times.

• Maintained 99% build success rate in deployment workflows built using Jenkins-based CI/CD pipeline and achieved 95% test coverage using Jest.

Discord Prototype Python, Django, Jinja2, HTML, CSS, JavaScript

• Created an Discord-like application that empowers students to manage study sessions and message threads with CRUD functionality.

• Leveraged Django’s MVT architecture combined with Jinja2 templates to design and implement intuitive web pages, including user login, registration, and homepage, resulting in a 30% increase in user registration rates.

• Incorporated Django’s authentication system and HTTP URL routing to ensure secure and seamless user experiences.Through the effective use of pagination and AJAX for dynamic content loading, amplified user engagement by 40%. Document to Speech Conversion React, Java 11, Spring Boot, AWS SDK, Python, Gradle, AWS AI Services

• Developed a static website using React to upload input file (PDF/JPG/PNG), play the generated audio file in three different languages (English, Hindi and Chinese) and download the audio file.

• Implemented HTTP API endpoints like upload, search and download for communication between frontend and backend.

• Triggered Amazon Lambda function to handle processing of document to speech per request.

• Created Amazon Lambda to extract text blocks from input file using Amazon Textract, translate the extracted text into Hindi and Chinese using Amazon Translate, generate audio from translated texts using Amazon Polly and store them in destination S3 bucket and stored file conversion related logs in Amazon’s DynamoDB.

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