Aashi Singh
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Hi, I'm
Aashi Singh!
I am a Computer Science and Engineering student at UC Irvine, graduating in 2025, with a passion for AI/ML, software development, and creating innovative solutions to address real-world challenges.
I have gained valuable experiences through internships and research, where I contributed to a variety of projects. These experiences have enhanced my skills in building scalable systems and collaborating with cross-functional teams. I am currently seeking new grad software engineering opportunities. Feel free to contact me and check out my work!
Experience
Software Engineering InternUnitedHealth Group – OptumJune 2024 – August 2024Boston, MAEngineered a next best activity recommendation ML model for UnitedHealthcare Rewards App users leveraging AWS services.Engineered a next best activity recommendation ML model for UnitedHealthcare Rewards App users leveraging AWS services.
AWS LambdaAWS AppSyncAWS PersonalizeAWS GlueAWS S3AWS DynamoDBAWS CDKPythonReact NativeGitHub ActionsCI/CDMachine Learning
Software Engineering InternIMD SolutionsJanuary 2024 – May 2024Newport Beach, CADeveloped a mobile application for the Automated Glucose Delivery Device (GlucoGuard) for monitoring nocturnal hypoglycemic episodes and receiving alerts. Engineered a logistic regression ML model to predict optimal glucose administration times.
React NativeTypeScriptPythonFlaskFigmaHTML/CSSMachine LearningDexcom APIFirebaseRaspberry Pi
Software Development ResearcherDesign and Partnership LabJanuary 2024 – PresentIrvine, CACollaborating with Chan Zuckerberg Initiative to develop an AI dashboard for evaluating student performance using LLMs. Employing advanced prompt engineering techniques, such as few-shot learning, chain-of-thought prompting to assess student responses.
PythonOpenAI APIPrompt EngineeringLLMs
Machine Learning ResearcherMolloi Imaging Physics Lab @ UCI School of MedicineSeptember 2024 – PresentIrvine, CAContributing to deep learning-based cardiovascular disease diagnosis through heart chamber segmentation and non-invasive medical imaging techniques.
PythonPyTorchDeep LearningMachine Learning
Software Development ResearcherHERO Lab @ UCI School of EngineeringSeptember 2024 – PresentIrvine, CADeveloping a deep learning system to reconstruct ECG signals from real-time facial video using cWGANs.
PythonDeep LearningAWS SageMakerAWS S3Machine LearningOpenCV
Projects
Web Crawler and Search Engine
Developed the core logic of a multithreaded Python web crawler to index 50,000+ UCI domain pages, increasing crawler speed by 5 times by adding 5 threads to a single-threaded baseline. Built a SimHash algorithm to detect duplicates and avoided 80% of crawler traps during deployment. Engineered a search engine from scratch with <30ms query response time for 50,000+ pages.
GlucoGuard
Developed a mobile application for an automated glucose delivery device, providing a flexible UI for monitoring nocturnal hypoglycemic episodes and receiving alerts. Engineered a logistic regression ML model to predict optimal glucose administration times, leveraging data from the Dexcom API and Firebase. Implemented a Flask server to simulate bluetooth communication on a Raspberry Pi.
Sudoku AI Solver
Developed an AI system to solve Sudoku puzzles. Implemented heuristics and backtracking for efficient solution navigation, reducing average solve time by 40%.
Edsight
Edsight is a free visual analytics platform designed to spur insight, learning, and decision-making for teachers and professional development facilitators. Edsight works with five practical measures developed and tested by researchers and educators.
Predicting Hospital Readmissions
Conducted an analysis of various classification algorithms to predict hospital readmissions using a diabetes dataset. Evaluated models including logistic regression, decision trees, and random forests for performance metrics such as accuracy, precision, recall, and F1-score. Optimized model parameters and employed feature engineering to enhance predictive accuracy.
Microcontroller-Based Calculator
Designed and implemented a functional calculator using the Tiva C microcontroller. Integrated a 16x2 LCD for result display and a 4x4 matrix keypad for user input. Developed embedded C code to handle arithmetic operations, input validation, and real-time display updates. Utilized GPIO for interfacing the LCD and keypad, ensuring efficient and responsive operation.
Columns Game
Created a puzzle-based columns game using PyGame libraries in Python, including UI design and visual elements. Incorporated various game mechanics using object-oriented programming.
Flix
Flix is a movie browsing app that pulls data from The Movie Database API, allowing users to explore now-playing films and view detailed movie information and posters. Users can scroll through a list of movies, tap for more details, and toggle between a list and grid view using a CollectionView.
Contact
Irvine, CA | aashi30singh@gmail.com | (949)-351-9672