About
Full-stack engineer and CS graduate combining hands-on ML, NLP, and Generative AI project experience with web development (React.js, Spring Boot, REST APIs). Skilled in LLM integration, prompt engineering, and building agentic AI workflows end-to-end — from data pipeline to user-facing interface. Eager to apply full-stack and AI engineering skills to reliable, high-throughput systems.
Projects4
PCOS Risk Prediction
Led a team to build a full machine learning-based application estimating PCOS risk from user-submitted health data, designing intelligent data pipelines processing menstrual cycle patterns, symptoms, and lifestyle indicators. Applied prompt-style data normalization techniques to bridge ML output with end-user experience.
- Python
- Machine Learning
- Healthcare AI
- Data Processing
Weather Application
Built a full-stack, real-time weather forecasting app integrating a public Weather API with dynamic front-end rendering. Implemented API calls using HTTP requests and handled JSON data parsing efficiently between backend and UI, with robust error handling for invalid inputs and API failures.
- JavaScript
- React.js
- REST API
- JSON
Heart Disease Dataset Analysis
Performed data cleaning and preprocessing on heart disease dataset to handle missing values and inconsistencies. Conducted exploratory data analysis to identify key patterns and risk factors and created insightful visualizations using Matplotlib and Seaborn.
- Python
- Pandas
- Matplotlib
- Seaborn
- Data Science
Blood Bank Management System
Developed a console-based Blood Bank Management System using OOP concepts ensuring scalability and maintainability. Implemented optimized search functionality for blood group availability and quick retrieval.
- C++
- OOP
- Data Structures
Education3
B.Tech
United College of Engineering and Research
Computer Science
12th Standard
Seth Anandram Jaipuria School
10th Standard
Bethany Convent School, Naini