Pushti Depani — Software Engineer

I am Software enthusiast and have Experienced in development and deployment of various software applications. I am confident in my ability to come up with interesting ideas in the field of Software Development, Computing, etc. Passionate to deliver real values to the outside world. • Backend Technologies: Node JS, Next JS, Express JS, Python, Java, C++, C, C#, PHP. • Frontend Technologies: React JS, Javascript, Typescript, HTML, CSS, Bootstrap. • Database Technologies: MySQL, MongoDB. • Tools & Software: Git, Github, Gitlab, Visual Studio Code, IntelliJ, Tableau. Products & Projects: Recipe App ● Developed a robust recipe app using the MERN (MongoDB, Express.js, React.js, Node.js) stack. ● Managed recipes with features for adding, saving, and rating. Categorized recipes for easy browsing and searching. ● Integrated powerful search functionality for efficient recipe discovery. Developed RESTful APIs for seamless communication between front-end and back-end.Collaborated effectively and maintained clear documentation. ShopSmart – e commerce ● Implemented essential e-commerce functionalities (registration, authentication, product catalog, cart, payment, order management). ● Ensured strong security measures (password hashing, data encryption) and protected against vulnerabilities. Optimized performance through caching, query/image optimization, and reduced HTTP requests. ● Integrated third-party services (payment gateways, shipping APIs) to enhance functionality. ● Utilized version control (Git) for code management and collaborated effectively with team. Sign Language Recognition ● Applied computer vision techniques for gesture detection and sign language recognition. Utilized convolutional neural network (CNN) and transfer learning for accurate classification. ● Incorporated support vector machine (SVM) for precise hand shape classification. Aims to facilitate communication between deaf and hearing individuals. ● Demonstrated proficiency in AI, computer vision, CNNs, transfer learning, and SVMs. PLAGIARISM CHECKER ● Developed an innovative approach for code similarity detection using preprocessing techniques like punctuation removal, tokenization, stopword removal, and stemming. ● Leveraged TF-IDF vectors to capture term importance and calculated cosine similarity to identify similar codes. Enabled code reuse, plagiarism detection, and knowledge sharing in programming communities. Demonstrated expertise in code preprocessing, TF-IDF representation, and similarity threshold selection.

Stackforce AI infers this person is a Fullstack Developer with a focus on e-commerce and AI-driven applications.

Location: Rajkot, Gujarat, India

Experience: 3 yrs