SPARSHA B T

Software Engineering Intern | AI/ML & Full Stack Developer
Manglore, IN.

About

Highly motivated Software Engineering Intern with a strong foundation in full-stack development (React, HTML/CSS, JavaScript) and practical experience in AI/ML projects, including fraud detection and real-time image classification. Proven ability to build responsive web interfaces and integrate intelligent solutions to enhance user experience. Eager to leverage dual expertise in design and intelligence to contribute to innovative teams and drive impactful technical solutions.

Work

Zephyr Technologies and Solutions PVT LTD
|

Full Stack Development Intern

Bangalore, Karnataka, India

Summary

As a Full Stack Development Intern, contributed to the end-to-end development of responsive web applications, enhancing user experience and collaborating within an agile team to deliver solutions.

Highlights

Engineered and deployed a responsive web application, significantly enhancing user experience and accessibility across various devices.

Developed robust frontend components using modern frameworks and seamlessly integrated them with backend APIs, ensuring smooth data flow and functionality.

Gained hands-on expertise in the MERN stack (MongoDB, Express.js, React, Node.js) and RESTful API architecture, contributing to scalable web solutions.

Collaborated effectively within a cross-functional team to deliver a full-stack project on schedule, adhering to project timelines and quality standards.

Prodigy Infotech
|

Machine Learning Intern

Bangalore, Karnataka, India

Summary

As a Machine Learning Intern, developed and optimized AI models for fraud detection and image classification, significantly improving accuracy and analytical capabilities.

Highlights

Developed a machine learning model for fraud detection, significantly improving accuracy and reducing false positives in transactional data analysis.

Utilized Python, Scikit-learn, and Pandas to perform robust data cleaning and analysis, preparing complex datasets for classification tasks.

Engineered and deployed an image classification model that achieved 95% accuracy on a dataset of 10,000 images, demonstrating strong proficiency in deep learning techniques.

Education

Srinivas University Institute of Engineering and Technology
Mangalore, Karnataka, India

B.Tech.

Artificial Intelligence & Machine Learning

Grade: 8.53

Languages

English
Hindi
Kannada
Telugu

Skills

Programming Languages & Web Technologies

Python, HTML, CSS, JavaScript, SQL, React, Node.js, Express.js.

AI/ML & Data Science

OpenCV, TensorFlow, Pandas, NumPy, Scikit-learn, Deep Learning, Machine Learning, Image Classification, Fraud Detection.

Databases

MySQL, Database Design, Database Optimization.

Development Tools & Platforms

Git, GitHub, VS Code, Jupyter Notebook, MERN Stack, RESTful APIs, AWS Services, Cloud Concepts, Windows, Android.

Professional Skills

Rapport Building, Stakeholder Management, People Management, Communication, Team Collaboration, Problem-Solving.

Projects

MERN Stack E-Commerce Web App

Summary

Developed a comprehensive e-commerce web application utilizing the MERN stack, demonstrating proficiency in full-stack development, state management, and RESTful architecture.

Gender and Age Detection using Deep Learning

Summary

Engineered a real-time facial recognition application leveraging deep learning for accurate gender and age prediction, optimizing performance for real-world scenarios.