About me

I’m intrigued by ML and AI models and their applications in Quantitative Analysis, I also have an interest in Cryptography and Cybersecurity and its uses in Blockchain Security. I want to gain knowledge about these areas and more fields in Computer Science and Mathematics. My goal is to create something helpful for everyone that can improve and make everyone’s life easier.

Education

I’m a third year undergraduate student studying Mathematics & Computer Science at UC San Diego. I have also completed a Machine Learning Foundations Certificate from Cornell University.

Experience

1. American Express AI/ML Intern

• Developed and implemented a model for sensitive data discovery to detect and redact/anonymize PII, PCI, and contextual data from various text formats
• Leveraged Named Entity Recognition (NER) techniques to accurately identify sensitive information such as personal identifiers and confidential data
• Integrated Regular Expressions (Regex) and Large Language Models (LLMs) for enhanced contextual discovery and redaction of sensitive attributes
• Designed the solution to support data anonymization for test data generation and General AI use cases, ensuring compliance with privacy regulations

2. Break Through Tech Machine Learning @ UCLA AI/ML Fellow

• Selected from 3000+ applicants, where I learnt data handling and preprocessing techniques using Pandas for efficient data manipulation, NumPy for numerical operations, and Seaborn and Matplotlib for data visualization
• Developed proficiency in training various machine learning models using scikit-learn, including implementing algorithms, performing cross-validation, and tuning hyperparameters for optimized performance
• Implemented a diverse range of models, including decision trees, k-nearest neighbors, ensemble methods, deep learning, and neural networks. Gained experience in model selection, loss functions, computer vision, and natural language processing
• Created and evaluated machine learning models weekly using various techniques to reinforce learning and ensure high performance on unseen data

3. UJIMA S&P Lab (Professor Imani Munyaka) Research Assistant

• Developed a web-app for an Implicit Association Test (IAT) to measure an individual’s level of bias toward autism
• Created a prototype on OpenSesame and used Flask to recreate the IAT as a web-app written in Python
• Worked on the backend integration of the web-app to store and get reasonable insights from the survey
• Used the insights to contribute to Professor Munyaka’s anti-autistic hate speech detection project

4. ITA Workshop App Developer

• Developed a mobile application using Flutter and Dart for an annual workshop on information technology
• Worked closely with Professor Alon Orlitsky as part of a two-person team, engaging in frequent communication
• Redesigned and tested the splash screen and other in-app features using emulators for both Android and iOS
• Worked on the deployment of the mobile application on the App Store and Play Store after development

5. Mathematics Undergraduate Instructional Assistant

• Assisted Professors Hammock, Sarkar, Mackall, and Bach in maintaining an efficient learning environment for students
• Promptly and accurately graded weekly homework assignments which included MATLAB based assignments
• Provided constructive feedback to help students understand their mistakes, contributing to their academic growth
• Improved my mathematical skills and programming skills by identifying mistakes and thinking critically

6. Data Analyst Intern - Cimcon Software

• Analyzed sales data using Power BI to extract valuable insights and trends
• Developed interactive and visually appealing dashboards to present key performance indicators and sales metrics
• Automated recurring reports, saving time and increasing efficiency in data reporting
• Attained real world working experience by working under experienced professionals

7. Investment Advising Intern - Forthius Capital

• Worked with Kshitij Lodha, an experienced investment advisor and learnt about various ways of investing
• Researched and suggested possible investment opportunities based on profitability and client’s goals
• Learnt about risks in the stock market and how to assess them
• Shadowed Ksithij Lodha and improved professional communication skills and critical thinking

Projects

1. App Developer – Golf Betting Application

• Used Flutter SDK and Dart to build an application about the Golf Nassau Betting System
• Used Firebase to build the database management system to store data and for authentication and security
• Designed the GUI using Flutter’s collection of widgets, working on both the backend and frontend

2. Huffman Encoding Tree for File Compression

• Built a Huffman encoding tree to perform file compression and decompression on file headers
• Implemented a file compression tool using the Huffman algorithm to reduce storage size without losing information
• Implemented a file decompression tool using the Huffman algorithm to get back the original file header
• Enhanced the efficiency of the compression by using bit-packing to store larger numbers in smaller sequences

3. Graph Class and Algorithms Implementation

• Implemented important graph algorithms to represent and analyze network
• Developed a Graph class to represent undirected graphs, applied to transmission clustering for HIV and COVID-19
• Utilized the graph to identify transmission clusters and gather information for virus spread prevention through graph algorithms using BFS, Djikstra’s Algorithm, Connected Components, and Connecting Thresholds

Awards

• Revelle College Provost Honors: Received Provost Honors based on the quarterly GPA
• Top 1/5th Of Revelle Student Body: Received the award for being in the top 200 students in Revelle College at UCSD