Software Engineer C++

Saniya Singh Sekhon

*******@*****.*** • 413-***-**** • https://www.linkedin.com/in/saniya-sekhon/

Education:

University of Massachusetts Amherst Expected Graduation: May 2024 Bachelor of Science in Computer Science GPA: 3.5

Dean’s List and Chancellor's Award Recipient

Coursework: 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, MA

Software 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 Amherst

Assistant 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 analysis

Projects:

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 Parkinson’s disease detection using gait analysis with an 80% accuracy

• Effectively processed and filtered the data collected through the phone’s accelerometer

• Implemented feature extraction algorithms, and decision tree models to enhance performance using NumPy and PyTorch

Contact this candidate