Education
Bachelor of Science in Computer Science
Experience
MetLife Insurance - Software Engineering Intern
June 2024 - December 2024
- Built a vector search API with flask for 60,000+ employees to query 200+ company documents via natural languag
- Leveraged MiniLM-L6 model for documents/query vector embeddings, stored and retrieved with Azure AI Search
- Implemented automatic punctuation of natural language queries using FullStop model to improve document retrieval.
- Achieved a 25% improvement in user satisfaction & 35% reduction in document retrieval time during initial testing
Data Science Wizards - Data Science Intern
May 2023 - August 2023
- Implemented sentimenent analysis for customer calls with 93% accuracy, saving 20+ manual analysis hours monthly.
- Built an ETL pipeline using pre-trained speaker diarization and emotion recognition models, containerized with Docker.
- Helped classify 20,000+ images for cattle identification with 81% accuracy to prevent livestock insurance fraud
- Collaborated on building a ResNet-50 CNN with transfer learning and utilized OpenCV for image preprocessing.
Graph Computation and Machine Learning Lab - Undergraduate Researcher
April 2023 - September 2023
- Researched under Dr. Pan Li to develop a Graph Neural Network (GNN) with PyTorch to tackle pile-up mitigation.
- Completed Stanford’s ”Machine Learning with Graphs” (CS224W) and collaborated with 7 graduate researchers.
Skills
Note: I think these sections are silly, but everyone seems to have one. Here is a *mostly* honest overview of my skills.
Selected Courses
CS 1331:
Introduction to Object Oriented Programming
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CS 1332:
Data Structures and Algorithms
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CS 2110:
Computer Organization and Programming
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CS 2200:
Computer Systems and Networks
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CS 3510:
Design & Analysis of Algorithms
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CS 3630:
Robotics and Perception
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CS 4476:
Computer Vision
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CS 7641:
Machine Learning
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CX 4220:
High Performance Computing
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Math 1554:
Linear Algebra
