Software Engineering Full-Stack Engineer

Kaumudi Degekar Gulbarga

602-***-**** • ********@***.*** • linkedin.com/in/kgulbarg • github.com/kgulbarg • Tempe, AZ, USA EDUCATION

Master of Science (Thesis), Software Engineering Anticipated Dec 2025 Arizona State University, Tempe, AZ 4.00/4.00 GPA

Thesis: XAI for RA Therapy with Multiomics Award: Engineering Graduate Fellowship (Fall 2024) TECHNICAL SKILLS

Machine Learning & AI: Python, PyTorch, NumPy, Pandas, Scikit-Learn, NLP, WEKA, Prolog, SPARQL, SWIRL Languages: Java, Python, JavaScript, SQL, XML, RDF, Scala, C, C++, HTML, DOM, CSS, PHP Technologies/Frameworks: React, Angular, Restful APIs, GraphDB, Docker, K8s, NUnit, NodeJS, DJango, Git Programming: Data Structures, Algorithms, Recursion, Object Oriented Design, SOLID Principles, Design Patterns PROFESSIONAL EXPERIENCE

7 Seas Entertainment Ltd., Hyderabad, India: Software Engineer II Jun 2021 – Dec 2023

• Owned and delivered key features (user accounts, in-game purchases) working with cross-functional teams

• Revamped gaming website with responsive design & modern UI/UX practices, integrating 35+ WebGL games

• Leveraged CI/CD pipelines following Agile and SDLC best practices Micron Technology Inc., Hyderabad, India: IT Software Engineer I - FSD Jul 2020 – May 2021

• Engineered RESTful APIs for data integration and analysis majorly using JavaScript and Angular

• Automated testing and improved code coverage of the application by 20% with NUnit enhancing software reliability

• Regularly built and deployed the web app through the CI/CD pipeline doing Agile ACADEMIC PROJECTS

Scalable Implicit Full Waveform Inversion for Velocity Reconstruction Spring 2025 Training Implicit Neural Representations (INRs) for a hundred velocity map images with a team of four

• Built a neural network model to learn a continuous function, as an INR, for each coordinate on velocity maps using WIRE activation

Project Metrics Calculator Spring 2025

Developed an application for computing & visualizing software quality metrics in a team of four doing Agile/Kanban

• Developed scalable services to collect software quality metrics from repositories and trackers

• Built interactive dashboards with charts for benchmarking, deployed via Docker in a loosely coupled architecture Smart Habitat Ranking for Urban Relocation Fall 2024 Created a locality recommendation system using a knowledge graph and the Semantic Web with a team of five

• Developed an ontology to unify diverse datasets (AQI, UV, precipitation, crime) for the Open Knowledge Network.

• Applied normalization algorithms to compute habitability scores and applied graph-based reasoning Porygon Spring 2024

Designed a new programming language with basic sequence control and datatype arithmetic with a team of four

• Built a Prolog-based parser using DCG, leveraging regular expressions and CFG for syntax validation

• Developed a runtime environment to execute AST with loops, conditionals, and data operations. Sentiment Analyser Spring 2019

Led team of three to engineer a single page web application to analyse Tweets about different phone brands

• Built an ML pipeline for sentiment classification using TF-IDF and OVR SVC, achieving 97% accuracy

• Optimized data preprocessing and developed a web interface with graphical sentiment insights. LEADERSHIP & INVOLVEMENT

School of Computing and Augmented Intelligence, ASU, AZ: Graduate Teaching Assistant Jan 2025 – Present Eta Kappa Nu (IEEE-HKN) Epsilon Beta Chapter, ASU, AZ: Distinguished Member Initiated Nov 2024 Women in Computer Science (WiCS), ASU, AZ: Programming Mentor Aug 2024 – Present

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