I'm a Software Developer with a passion for creating innovative and functional web applications that make a difference in people's lives. My journey as a developer began when I discovered the power of technology to transform ideas into reality, and I've been hooked ever since. I'm a team player who thrives in collaborative environments and always eager to take on new challenges. I'm always seeking new opportunities to level up my skills and make the digital world a better place, one line of code at a time.
What sets me apart from other developers is my multidisciplinary approach to problem-solving. With a background in design and a deep understanding of user experience, I'm able to create seamless and intuitive interfaces that engage users and keep them coming back for more. At the same time, I have a keen eye for detail and a strong understanding of the underlying technology, enabling me to build robust and scalable solutions that stand the test of time.
I love working with business and collaborators to bring their ideas to life, and I'm always looking for new opportunities to learn and grow as a developer.
ADSS Global - (01/2025 - Present)
Toronto, ON
Dayforce - (05/2023 - 04/2024)
Toronto, ON
WIMTACH- Centennial College - (10/2022 - 05/2023)
Toronto, ON
La Net Team Software Solutions - (09/2020 - 03/2022)
Surat, India
Implemented an iOS and Android application to connect pet owners with adopters, using React Native, Node.js and MongoDB leveraging Geolocation API and AWS S3. Built a secure backend with JWT auth and RBAC, integrated AWS Rekognition for pet image matching, Geolocation API for proximity-based search, and AWS S3 for media storage—boosting adoption match speed by 40%.
Built a full-stack web application for movie streaming, rating, and commenting using ASP.NET Core MVC, Entity Framework Core, Microsoft SQL Server, AWS DynamoDB and Amazon S3. Designed and implemented DynamoDB tables with multiple secondary indexes enabling fast queries by genre and rating, reducing average search latency by 40%
Built a full-stack rental management system with ReactJS frontend and Python Flask APIs, leveraging MySQL on AWS RDS for reliable data storage, and automated invoicing and email notifications via cron jobs, reducing manual tasks by 40%. Deployed Dockerized microservices on AWS EC2 with Nginx, and implemented GitLab CI/CD pipelines.
Achieved 94% accuracy in predictive analysis of classifying bicycle theft statuses by developing a full stack solution using a flask API and predictive models using Random Forest and Decision Tree algorithms.Improved model performance by 18% through feature engineering, data normalization, and hyperparameter tuning on real-world Toronto Police Services open data.
Developed a serverless image processing workflow using .NET 8, AWS Lambda, Step Functions, and S3, triggered by image uploads to automate label detection and thumbnail generation. Used AWS Rekognition for label detection, DynamoDB for metadata storage, and .NET-based Lambdas to process images and store thumbnails in a separate S3 bucket to prevent recursive triggers.
Full Stack Developer
Hello, Thank you for taking time to visit my portfolio! So if you're looking for a versatile and passionate Full Stack Developer to take your project to the next level, look no further. Let's build something amazing together!
Phone: +1(905)782-1338
Email: yashvichauhan19@gmail.com
© 2025. Built by Yashvi Chauhan
Design Motivation from Noor Mohammad