Work & Research Experience
May 2026 - Aug 2026
Lanai
Machine Learning Intern
Palo Alto, CA
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Built a lightweight multi-class classification model to detect PII in AI prompts
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Cut inference costs by 43% and latency by 15% relative to previous LLM based model
June 2025 - Aug 2025
Kyron Learning
Software Engineering Intern
Cambridge, MA
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Built MCP integration enabling LLMs to access Kyron APIs, including OAuth workflows
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This project was demoed in partnership with Instructure at Instructurecon 2025 keynote
July 2024 - Dec 2025
Hassoun Lab - Tufts University
Undergraduate Researcher
Medford, MA
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Developing a contrastive learning model to resolve compound synonyms in the KEGG biological database
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Experimenting with chunking strategies and vector embeddings for RAG with FAISS
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Researching NER, NEN, and contrastive learning strategies to efficiently and effectively extract information from biomedical text
July 2023 - Aug 2024
T.E.C.I. Center - Stanford University
Student Research Intern
Stanford, CA
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Streamlined data collection workflows for laparoscopic ventral hernia repair surgeries
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Assisted in simulation surgeries, motion sensor testing, biometrics collection, and grant proposal editing
Feb 2023 - May 2024
Kaplan Lab - Tufts University
Research Assistant
Medford, MA
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Conducted research on thermoplastic molding of silk and bacterial materials
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Gained experience in cell culture, tissue engineering, and 3D printing
Jun 2021 - Aug 2021
Bio-Techne - Advanced Cell Diagnostics
Student Intern
Newark, CA
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Analyzed tissues for RNA using genetic markers with probe solutions, staining, scanning and post processing.
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My project tested diseased liver samples.
Technical Skills
Programming:
Python, C, C++, Java, Go, React, Ruby on Rails, MATLAB
ML/Data:
PyTorch, TensorFlow/Keras, Hugging Face Transformers, Stable-Baselines3, scikit-learn, NumPy, FAISS, Amazon SageMaker
Infra/Backend:
AWS, Docker, Kubernetes, REST, gRPC, PostgreSQL, Git
Dev Tools:
Cursor, Claude Code, GitHub Copilot