• Spearheaded the Dynamic Decisioning MVP to revolutionize proactive interactive voice response experiences, projected to save customers 55,000 hours monthly and reduce TCT by 8.4% through personalized user flows • Conducted trade-off analysis for the "buy" decision of RulesLab as an enterprise decisioning platform over a "build" of an in-house build, enabling agile rule management and empowering business users by reducing development overhead • Collaborated with engineers to design a scalable, microservice architecture between 3 orchestration layers • Outlined a phased product roadmap, with an initial build design focused on scalable data ingestion and setting the technical foundation for integrating AI predictive capabilities with a classification model based on customer data

• Engineered a 3-service Dockerized distributed system, integrating it with Canvas LMS via LTI 1.3 standards • Implemented core asynchronous processing for AI text detection by integrating three third-party APIs with features including intelligent scheduling and an automatic retry mechanism for submission processing • Conducted requirements engineering and user validation testing through interviews and surveys with 10+ professors

• Led a team of developers in ideating and implementing four AI-driven applications, including a SAAS Flashcard WebApp and RAG Chatbot

• Constructed user growth platform features, utilizing tools such as Stripe for cross-user referral incentivization, social media APIs for multimedia sharing, and Google Chart API to visualize program success metrics • Designed and engineered a scalable PostgreSQL user schema, enabling the creation of a dynamic friends list feature in a 100+ user base, enhancing user interaction and engagement by 25% across core features through content sharing • Aligned production website's UI/UX to meet design specifications and wireframes, enhancing visual consistency • Organized and led meetings with cross-functional teams, facilitating standups and storyboard progress checks

• Identified key areas in which the main Wonsulting product offering was lacking through user feedback analysis • Conducted prompt engineering to refine model output, evaluating generations against a defined quality rubric • Led a iterative design approach utilizing Google Colab, working with the design team to guide feature creation • Developed Python scripts and API infrastructure to integrate GPT 3.0 for automated resume bullet point generation

• Utilized Jira to manage to navigate evolving feature prioritization and lead a team of 6 students in a 10-week incubator • Drove Unibites from idea to MVP launch by developing product roadmap, aligning stakeholders around core user pain points, and executing an agile development process that generated 100+ user reviews, showing early product-market fit

• Developed the Chapter's first interactive alumni analytics dashboard using Next.js, Tailwind CSS, and Framer Motion, enabling dynamic search, visualization, and Excel data ingestion for 400+ Delta Sigma Pi alumni profiles • Modernized the chapter website with React componentization, shifting the static site into a dynamic, scalable platform

• Fostered a one-on-one mentorship to a lower classman, guiding development in professionalism through proactive resume and cover letter reviews, networking workshops, and interview preparation