My Portfolio

Hello! I'm Nooreen

Aspiring Developer | AI Enthusiast | Problem Solver

Skills

Languages

Python, Java, C/C++, SQL, HTML, CSS, JavaScript

Frameworks / Libraries

Flask, SpringBoot, TensorFlow, Sklearn, OpenCV, Pandas

Cloud & DevOps

AWS, GCP, Docker, Git

Databases

Postgres, MySQL, MongoDB

Tools & Design

Figma, Canva

See My Work

About Me

Software developer with experience in handling very large amounts of data on Cloud Platforms, performing analysis and dashboards as well as creating data pipelines. Currently expanding knowledge in usage of AI in web development. Background includes academic and project-based work (on Github as well) in database management systems, data structures and algorithms, computer vision and AI, with a strong focus on solving real-world problems. Committed to continuous learning, delivering high-quality user experiences, and contributing meaningfully in a collaborative, in-person environment.

Projects

Course Management System (Java)

Developed a full-stack course management system (repo: Course-Management), using Java for backend logic and HTML for frontend, enabling CRUD operations for students, courses and enrollments. • Designed architecture for scalability and maintainability: clear separation of concerns, data models and user interface.

Multiple Partial Object Detection in a Single Image using Segmentation and Elliptical Symmetry - Research GitHub

A software which uses image processing and geometric operations to identify the location & labeling of objects in image • Implemented using segmentation of all objects, image reconstruction and performing a detection algorithm. Tools used: Python, Numpy, openCV, Math.

Event Management Website ( Full Stack )

• A website used to manage all events on user and admin end with dynamic user interface and multiple endpoints. • Designed responsive frontend using Figma, HTML, CSS, JavaScript, Bootstrap. • Integrated Flask backend, MySQL database, and REST APIs for data management and authentication services. Tools used: Python, Flask, HTML, Javascript, CSS, Bootstrap, MySQL, UML, REST APIs, MongoDB, Figma

Vehicle Classification and Counting

• Authored a Python solution (repo: Vehicle-Classification-and-Counting) for classifying vehicles and counting traffic flow from video/image data—useful in smart-city and traffic-monitoring contexts. • Processed real-world data, extracted features, and developed evaluation metrics to validate classification and counting accuracy.

NLP Project

• Built a collection of machine-learning and data-science projects (repo: ML-and-DS) using Jupyter notebooks: data cleaning, feature engineering, model training and evaluation across different datasets. • Showcased versatility in regression, classification and clustering workflows.

ML & Data-Science Portfolio

• Conducted exploratory work in natural language processing (repo: NLP) including topic modeling, sentiment analysis and text-classification pipelines using Python. • Demonstrated ability to preprocess text, apply NLP frameworks, and evaluate model results.

LLM Workshop / Cursor Integration / Firebase Studio

• Built a Python-based framework (LLM-Workshop-Cursor) connecting large-language-model workflows via Cursor and Firebase Studio; implemented modular code generation and prompt pipelines. • Automated prompt-to-application flow, helping streamline developer interactions with LLMs and enhancing tool productivity.