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Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE (Street Address ) 800-8179 https://LINKEDIN LINK AVAILABLEEducation:University of Massachusetts Amherst Expected Graduation: May Street Address Bachelor of Science in Computer Science GPA: 3.5Deans List and Chancellor&#Street Address ;s Award RecipientCoursework: Software Engineering, Web Programming, Scalable Web Systems, Machine Learning, Operating Systems Technical Skills:Programming Languages: Python, JavaScript, Java, C, C++, C#, SQLite, HTML, Arduino, Linux, Assembly Tools & Frameworks: Node.js, Express.js, MongoDB, React.js, Svelte, Docker, GitHub, Postman, CSS, PyTorch, Junit Work Experience:Waters Corporation Milford, MASoftware Engineer Intern June Sept 2023 Implemented an efficient and reliable message buffering system for seamless data transmission to the database Significantly improved system reliability to achieve more than 98% data transmission success rate Leveraged local SQLite database to ensure data persistence in scenarios of power outages or network loss Implemented multithreading to ensure thread synchronization, effectively preventing race conditions Utilised C++ and SQL programming languages to architect and implement solutions Debugged and tested code to ensure comprehensive unit testing coverage University Of Massachusetts AmherstAssistant Software Engineer - Circadian Rhythms Laboratory Jul 2021 Mar 2022 Collaborated with a team of software engineers to architect and develop a full-stack system, focused on efficiently collecting and managing laboratory mice behaviour data Engineered and implemented sensors utilizing C++ on Arduinos, demonstrating exceptional accuracy and reliability in scientific environments Designed comprehensive data management systems integrating REST APIs, ensuring robust data handling and analysisProjects:Simpli-Fair Oct Dec 2023 Engineered a full-stack Career Fair application using micro-service architecture to maintain online queues Implemented Restful API services using Express for robust back-end functionality Developed an optimized queue algorithm to manage online queues efficiently to enable real-time interactions Designed dynamic front-end client interfaces using Svelte and Bootstrap CSS Implemented Docker to containerize the micro-services for scalable deployment Room Scheduler Feb May 2023 Developed a user-friendly web application using Node.js to reserve meeting rooms based on user preferences Designed and implemented an efficient algorithm to determine room availability for requested times Created and maintained the database schema using MongoDB to store user and room information Integrated user authentication into the application using passport.js Implemented front-end functionality across all web pages using HTML and CSS Activities Finder Feb May 2023 Developed a dynamic web application to find activities and events within the university campus Designed and implemented a robust search algorithm to score each event based on user compatibility Implemented user authentication and protected server endpoints using the Clerk interface Handled server routing using Express.js and extensively tested the API Collaborated effectively in a team environment, actively participated in weekly scrum meetings Parkinson Detector Mar May 2023 Developed software for Parkinsons disease detection using gait analysis with an 80% accuracy Effectively processed and filtered the data collected through the phones accelerometer Implemented feature extraction algorithms, and decision tree models to enhance performance using NumPy and PyTorch |
