An Ambitious final yearComputer Engineering student specializing in Full-Stack Software Development and Machine Learning. Building intelligent systems and scalable applications through innovative technology solutions.
Currently pursuing Bachelor's in Computer Engineering at Sandip Institute of Technology and Research Centre with a GPA of 9/10.
I am a dedicated Computer Engineering student with hands-on experience in Full-Stack development, Machine Learning, and system design. My passion lies in applying technical knowledge to solve complex problems and contribute to innovative solutions.
I have hands-on experience in developing projects like Aerial Image Restoration and 3D Reconstruction, Automated Bulk and Batch Material Management, and real-time chat applications. As I am a fast learner, I always love to learn new technologies and expand my skill set.
My strengths include confidence, leadership, enthusiasm, determination, and adaptability. I enjoy collaborating with teams and taking on challenging projects that push my boundaries.
C++, Javascript, Python, PHP, Java, HTML5, CSS3
PyTorch, TensorFlow (basics)
React, Node.js + Express, Flask, Codeigniter, Spring Boot
MySQL, MongoDB, PostgreSQL
Docker, Jenkins, AWS Cloud
Git, Linux, Unix, OpenCV, OOP's Concepts, DSA
ML system for detecting heart condition from multi-view ultrasound images using deep learning techniques and medical imaging analysis.
GitHub: View Project →
Reinforcement Learning based task scheduler for heterogeneous computing systems (CPU/GPU/FPGA) to optimize task placement and resource utilization.
Status: Re-implementation Completed
A real-time chat application with modern UI and seamless communication features built using full-stack technologies.
GitHub: View Project →
Financial data visualization tool for tracking expenses, income, and financial goals with interactive charts and analytics.
GitHub: View Project →
Intelligent SOS alert and response system for women with secret word-trigger detection and GPS-based location tracking.
Status: Completed
Machine learning model to predict wine quality based on physicochemical properties using various ML algorithms.
GitHub: View Project →
Lyra AI is an intelligent AI receptionist designed to automate appointment scheduling using natural language conversations.
GitHub: View Project →
Developed an offline computer vision pipeline with PSF deblurring + depth estimation with 3D Hallucination.
Status: Completed
Engineered a scalable maintenance automation system with real-time monitoring, and predictive maintenance, improving production efficiency by 15% and reducing unplanned downtime by 30%.
Status: Completed
Developed an offline computer vision pipeline with PSF deblurring + depth estimation with 3D Reconstruction and Hallucination. Improved result clarity by ~85% and gained hands-on deployment experience using Docker + Flask at HPC Lab.
Engineered a scalable maintenance automation system with real-time monitoring, and predictive maintenance, improving production efficiency by 15% and reducing unplanned downtime by 30%.
GPA: 9/10 | Coursework: Data Structures and Algorithms, Object Oriented Programming, Machine Learning, DBMS, AWS Cloud, System Design, Docker, Version Controls, Software Development Life Cycle
Developed a secure accounting, taxation, and monetary analytics dashboard for Nippon India Mutual Funds, implementing backend business logic, role-based access control, and data validation.
Percentage: 86% | Built strong foundation in computer science fundamentals and software development principles.
Automated the calculation of electrical machinery, cutting down complex manual testing data analysis manual time to negligible with 0.5% relative error.
Feel free to reach out for collaborations, opportunities, or just to say hello! I'm always open to discussing new projects and ideas.
+91-8530472991
vaishnavibarhate2004@gmail.com
github.com/Vaishnavi-Barhate
linkedin.com/in/vaishnavi-barhate