- Engineered a Java-based micro-service with a curated managed search infrastructure to enhance search functionality using ElasticSearch, resulting in increased user engagement and sales performance as well as significant improvements in data processing speeds/costs and business insight accuracy- Designed and deployed 200,000+ products from Google Vertex AI Search to ElasticSearch on current Albertsons development UI, leveraging advanced features such as fuzzy search, category filtering, and machine learning-based vector search to ensure seamless functionality and superior performance in live environments

- Leveraged data analytics with its cutting-edge Generative AI-powered software, providing customers the platform to effortlessly gain business insights using natural language- Actively contributed to full stack tasks such as rendering user assignment history, enabling large file processing, implementing vector storage to hold chunk processing, running an automated Github workflow for continuous integration, etc…- Received certification in a variety of courses such as Langchain, ChatGPT API, and Prompt Engineering to incorporate within startup’s development to improve upon current infrastructure to better cater to a variety of clients

- Harnessed the power of Convolutional Neural Networks using online datasets of mammograms from Kaggle to revolutionize early detection of breast cancer by making a robust CNN model- Utilized tools such as PyTorch, TensorFlow, and Sci-Kit Learn to analyze medical imaging data, specifically mammograms, with unparalleled and optimal accuracy

- Taught children in elementary through middle school core subjects to accelerate their learning as well as foster intelligent mindsets through extracurricular activities

- Facilitated weekly lab sections of 35+ students to reinforce key concepts from lecture and assisted in review sessions for exams that tackled more high level complex problems about object oriented programming, recursion, data manipulation, and more- Collaborated in the design and launch of a new intern-led discussion program to enhance understanding and increase participation for 1000+ students

- Worked with other developers in BASIS to help alleviate the AI alignment problem using research-driven papers and presented potential solutions to increase AI Safety and efficiency- Completed biweekly coding projects related to advanced AI systems using various tools such as PyTorch and OpenAI to navigate the complexities of AI alignment issues and contribute to the current state of research regarding solutions

- Mastered and taught the JEI curriculum through various workbooks of different levels to promote accelerated learning as well as prepared students for international competitions- Helped international children accumulate to the rigorous curriculum at school to ensure strong foundational understanding of concepts