Full Stack Developer

ADWAIT MAHENDRA CHANGAN

*******.*@************.*** • 617-***-**** • www.linkedin.com/in/adwaitchangan Education

Master of Science, Information Systems Northeastern University, Boston Expected May 2025 Coursework: Application Engineering and Design, Web Design and User Experience, Network Structures and Cloud Computing, Concepts of Object-Oriented Design

Bachelor of Engineering, Information Technology Savitribai Phule Pune University, Pune May 2020 Coursework: Data Structures and Files, Design and Analysis of Algorithms, Database Management Systems, Operating Systems, Computer Network Technology, Machine Learning, Distributed Computing System Technical Skills

Programming Languages: Java, Python, C, C++, JavaScript, TypeScript, HTML, CSS/SCSS, XML, JSON Frameworks: Express.js, Node.js, Spring, Bootstrap, Rest Assured, Testcafe, Selenium, TestNG, Swing Libraries: React, Redux, Material UI Database: MySQL, MongoDB, SQLite, PostgreSQL Cloud: AWS, GCP Tools: Tableau, Power BI, Docker, Jira, Jenkins, Git, Maven, Postman OS: Linux, Windows, Unix Professional Experience

Accenture Solutions Pvt. Ltd, Pune, MH Application Development Analyst Feb 2021 – Aug 2023

• Developed a customized application that streamlines test automation script execution and generates email-ready reports using React for the frontend and Node.js, Express.js, and MongoDB for the backend and RESTful APIs.

• Led a team of five in developing touchless test automation scripts using Java-based frameworks (Rest Assured and Selenium) for British Telecom, eliminating 50 hours of manual work per week and saving $500,000 annually.

• Thrived in a collaborative and agile environment, consistently driving cross-functional team efforts to meet client expectations; delivered 15+ projects on time, boosting client satisfaction scores by 20% Thinking Hut IT solutions, Pune, MH Full Stack Engineer Intern May 2019 - Aug 2019

• Architected and managed a client's web application using React, Spring and Hibernate, driving a 30% rise in user engagement and a 25% revenue increase in the first six months

• Implemented OOD principles, design patterns, caching, asynchronous processing, security measures, and performance optimizations like lazy loading to enhance system security, maintainability, and reduce page load times by 40%.

• Ensured high-quality customer support by swiftly addressing incidents and bug fixes, achieving a 98.5% SLA Shree Constructions, Pune, MH Data Analyst Intern Nov 2018 - Feb 2019

• Engineered an automated building code compliance verification system using NLP, classifying project plans against local and state regulations. Improved plan review efficiency by 70%, reduced approval times from weeks to days, and decreased code-related rework by 35% on $20M+ worth of projects.

• Processed raw construction project data with Microsoft Excel and Power BI, conducting in-depth analysis on financials, timelines, resource allocation, and material usage to identify trends and areas for improvement Academic Projects

Cloud Native Application Mar 2024

• Orchestrated development of production-ready REST APIs using NodeJS, Express, and MySQL, implementing GitHub Actions for seamless CI/CD; constructed a robust infrastructure on Google Cloud Platform (GCP) using Terraform, deploying essential components such as Virtual Private Cloud (VPC), Subnets, Compute Engine Instances, and Cloud SQL; and enhanced operational efficiency by incorporating a customized Machine Image built with Packer. Freelancer Management Platform Dec 2023

• Built a comprehensive MERN-based freelancer management platform featuring client, project, and payment management, integrating JWT and bcrypt for security, Stripe for payments, React and Material-UI for a responsive interface, and MongoDB for efficient data storage of user profiles and gigs. Travel Planner Application Dec 2023

• Programmed Java Swing tourist app integrating 10+ simulated agencies; features include multi-modal booking, user authentication, and local business promotion. Beta testing showed 20% faster trip planning, 15% increase in discovering local vendors, and 95% user satisfaction among 50 test participants. Detection of Malicious websites using Machine Learning Mar 2020

• Developed an end-to-end anti-phishing solution: scraped 40,000 websites using Python libraries (Beautiful Soup, Requests, Urllib) to create a comprehensive dataset, trained a Random Forest model for phishing detection, and implemented a Chrome extension interfacing with the AWS-hosted model to provide real-time website safety feedback.

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