Daria Dobrolinski | Portfolio

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About Me

I am a passionate Computer Science student at UMass Boston with a strong interest in web developement, software engineering, and machine learning. I have also developed research skills through my work at the BSS lab where I am working on 3D brain reconstruction methods.

Projects

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Elara AI

Collabortated and built a Python FastAPI backend for Elara AI, a chatbot that suggests natural rememdies for medical concerns. Built using MongoDB, Vertex AI (Gemini), and deployed on Google Cloud.

Check out the project! GitHub

ASL Recognition with TTS

Built a real-time ASL recognition system using Python, MediaPipe, Random Forest classifier, and OpenCV featuring custom dataset collection and text-to-speech integration for accessible ASL-to-audio translation.

GitHub

Myndavals

A web application that allows users to share images and have friends select their favorite ones. Created using HTML and CSS for frontend and Python for backend.

Check out the project! GitHub

Embrace Every You

A website to raise awareness and provide information about anorexia nervosa, including symptoms, treatment, and resources. Created using HTML, CSS, and JavaScript.

Check out the project! GitHub

Automatic Irrigation System

Developed an Arduino-based irrigation system using soil moisture sensors and water pumps, reducing manual watering efforts by over 50%. Engineered and 3D-printed a protective enclosure in Fusion 360, protecting electronics from environmental damage and prolonging system lifespan.

Slideshow

Work Experience

Undergraduate Student

University of Massachusetts Boston January 2024 - May 2027

On track to recieve a Bachelor of Science in Computer Science.
Taken classes consisting of a variety of CS courses, Calculus 1 & 2, Physics 1 & 2, Discrete Math, and Introduction to Electrical & Computer Engineering.

Research Assistant

University of Massachusetts Boston January 2025 - Present

Refactoring a MATLAB codebase by modularizing functions and adding clear docs/tests, making the cortical-mesh pipeline easier to read, run, and extend.
Utilize MATLAB and mesh processing tools to create precise surface and volume models for improved geometric detail in MRI-based reconstructions.
Implement advanced algorithms to adjust sulci and gyri widths, aiming to reduce data loss and support more accurate biomedical research.