Dhruv Bala Email & Phone Number

I authored and defended a Summa Cum Laude thesis on the performance of 18 quantum and 6 classical ML models (including Quantum Variational Classifiers, Support Vector Machines, and Quantum Support Vector Machines) for identifying depressive sentiment in social media posts, producing novel results in the field. In addition, I investigated and advanced several NLP models, primarily Support Vector Machines, for verbal person-centeredness, achieving approximately a 1.5x improvement in prediction accuracy. I also redesigned an analytical pipeline using RegEx to scan social media posts related to drug use for estimated dates of last relapse, increasing identification accuracy by up to twice the previous rate.

I led workshops reaching over 100 students on front-end development, covering topics such as Google Flutter, Firebase Authentication with Firestore (NoSQL), and additional sessions on SQL fundamentals. I mentored students in mobile app development, focusing on UI/UX design and database management. Furthermore, I helped organize club events, including coding challenges and guest speaker sessions, which fostered engagement and learning among club members and led to a significant increase in overall participation.

I contributed to both website development using WordPress and PHP as well as Angular-based projects for a long-standing client, delivering full-stack solutions across two distinct client teams. I spearheaded the resolution of a critical navigation bug, which had been backlogged for some time, on a high-traffic client website, significantly enhancing user experience for over 5,000 users. Additionally, I co-engineered Blok Party, a versatile WordPress plugin featuring over 10 reusable UI blocks developed using PHP and React JS, resulting in a more standardized UI implementation process. I also designed and implemented a comprehensive glossary with over 100 responses to requests for proposals, streamlining internal company processes and improving the probability of success in procuring new clients.

I developed functionality in C#.NET to automate database updates based on specific triggers, improving system efficiency by reducing manual intervention and ensuring real-time data accuracy. I constructed and optimized SQL queries to evaluate and improve database performance. Additionally, I collaborated on refactoring the SQL database schema, which resulted in a significant reduction in data retrieval times.

Master'S, Quantum Information Science, 4.0

Bachelor Of Science - Bs, Computer Science, 3.975

Activities and Societies: Tau Beta Pi, Seva, Indian Student Association, App Development Club, United Student Education

High School Diploma

Activities and Societies: Eagan FIRST Robotics (Sept 2017 - June 2020) Math Team (Sept 2018 - March 2020) National Honor Society (May 2017.