4th year engineering student with strong academic background and hands-on experience in developing AI-driven web applications.
Skilled in programming languages including C, C++, Python, and Java, alongside web technologies such as HTML, CSS, and JavaScript. Developed real-world applications like dynamic AI travel recommendations and itinerary optimization, demonstrating analytical and critical thinking abilities.
Currently exploring Generative AI and Prompt Engineering to enhance interactive AI solutions.
Overview
2026
2026
years of professional experience
Work History
Internship Student
Digi Palettes
Pune
07.2025 - Current
Created prototype web application featuring AI-driven recommendation engines for personalized travel suggestions.
Optimized dynamic itinerary planning to balance distance, time, and user priorities.
Supported backend and database development for management of user profiles and real-time itinerary data.
Implemented user-centric UI/UX components to improve accessibility and engagement.
Mini
Projects
Web Development – Personal Portfolio & Password Manager : Developed a responsive portfolio website demonstrating UI with interactive design using HTML, CSS and JavaScript and designed Client-side password manager with encryption/decryption features.
Web Development – Responsive E-commerce (Myntra Clone): Developed a fully responsive Myntra clone with dynamic navigation and product display and also implemented real-time UI/UX features using HTML, CSS, and JavaScript.
Database Management – Library Management System: Built a MySQL-based Library Management System to manage books, members, and issue/return records. Implemented CRUD operations, relational tables, and queries for efficient search, sorting, and report generation.
Machine Learning : Predicted water potability using Decision Tree, Logistic Regression and Naive Bayes along with Feature selection and Visualization with high accuracy.
Computer Vision: Developed a Moving Vehicle Detection application in real-time using Background Subtraction (MOG2) and Dense Optical Flow (Farneback), incorporating Region Of Interest masking and attaining 94.74% F1-score.
Deep Learning: Trained a CNN on CIFAR-10 dataset for multi-class image classification, achieving 86.7% accuracy with data augmentation and performance tuning.
Education
Bachelor of Technology - EnTC
MKSSS's Cummins College of Engineering For Women
Pune
Skills
Technical Skills:
Programming Languages: C, C, Python, Java
Web Technologies: HTML, CSS, JavaScript, Reactjs(basic)
Databases: MySQL
Machine Learning: Computer Vision, Deep Learning
Core CS Concepts: OOP, DBMS, Operating Systems
Tools : Visual Studio Code
Prompt Engineering
Database management
SOFT SKILLS :
Analytical and Problem-Solving Skills
Critical Thinking
Goal Orientation
Initiative
Adaptability and Resilience under Pressure
Collaborative Communication & Teamwork
Emotional Intelligence
Attention to Detail
Affiliations
Treasurer, ASME Club (2022-23): Handled and distributed funds for various technical events and workshops, working closely with the rest of the team to maximize utilization with minimal exclusiveness in terms of capital and improving budget transparency.
Project Head ,ASME Club(2023-24): Planned and executed technical events from end to end, managed teams and resources to increase participation and awareness of the club.