Available to hire
I’m a Machine Learning Engineer with a Master’s Degree in Computer Science at Rochester Institute of Technology with around 2 years of experience in AI Software Development. I worked for 1 year developing computer vision applications at Ecolab, and have close to 1 year of internship experience working on LLM applications and prompt engineering research. I have experience reading research papers, and have created multiple projects focused on LLMs and ML models outside of my work experience.
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Beginner
Beginner
Language
English
Fluent
Japanese
Beginner
Work Experience
Machine Learning Consultant at Nevara
August 31, 2025 - October 15, 2025Developing AI assistants for salespeople to up-skill in cold-calling with performance feedback for over 1000 users. Creating a recommendation engine to give personalized improvements based on call logs and company documentation.
AI Software Engineer at Ecolab
March 31, 2025 - October 15, 2025Fine-tuned computer vision models to identify inefficiencies impacting service speed. Developed ML pipelines for RushReady with Senior and Principal Microsoft Engineers; piloted in 10 stores. Deployed CV models using MLOps best practices with Azure Machine Learning.
Student Lab Instructor at RIT Department of Computer Science
December 31, 2023 - October 15, 2025Aided 20 students weekly in learning Computer Science concepts and applying Python; Tutored Python and Java problems in CS tutoring center.
AI Research Intern at Brookhaven National Laboratory
August 31, 2023 - October 15, 2025Researched prompt engineering on large language models to accelerate research on medical isotopes using PyTorch and Hugging Face’s Transformers; found LLAMA-2 could discern elements necessary for chemical separations; further work needed.
Software Engineer at Ecolab
January 1, 2024 - March 1, 2025Fine-tuned Computer Vision models like YOLOv9 to help customers identify inefficiencies affecting speed of service. Developed ML pipelines for Ecolab RushReady with Senior and Principal Microsoft Engineers, piloted in 10 stores. Deployed Computer Vision models using MLOps best practices with Azure Machine Learning. Ensured that all AI model training and deployment followed Microsoft’s Responsible AI Principles.
Education
Bachelor of Science in Computer Science at Rochester Institute of Technology
January 11, 2030 - August 1, 2025Master of Science in Computer Science at Rochester Institute of Technology
January 11, 2030 - May 1, 2026Advanced Certificate in Artificial Intelligence at Rochester Institute of Technology
August 26, 2024 - December 19, 2025Japanese Minor at Rochester Institute of Technology
January 11, 2023 - October 15, 2025B.S. in Computer Science at Rochester Institute of Technology
January 11, 2030 - August 1, 2025M.S. in Computer Science at Rochester Institute of Technology
January 11, 2030 - May 1, 2026Advanced Certificates in Artificial Intelligence and Big Data at Rochester Institute of Technology
January 11, 2030 - May 18, 2026Minor in Japanese at Rochester Institute of Technology
January 11, 2030 - May 18, 2026Qualifications
Dean's List
September 1, 2022 - December 31, 2023Dean's List
January 1, 2025 - May 31, 2025Presidential Scholar
January 11, 2030 - October 15, 2025Performing Arts Scholar
January 11, 2030 - October 15, 2025Dean's List
January 11, 2030 - May 18, 2026Presidential Scholar
January 11, 2030 - May 18, 2026Performing Arts Scholar
January 11, 2030 - May 18, 2026Industry Experience
Education, Software & Internet, Media & Entertainment, Professional Services, Computers & Electronics, Government
- Search arXiv: Find papers by topic or keyword directly from the app.
- Download & Index: Download selected papers and build a searchable vector database.
- Chat with Papers: Ask questions about the papers and get answers with references to the original documents.
- Source Transparency: Every answer includes clear references to the documents used.
- Robust Downloading: Improved error handling, retry logic, and rate limiting for reliable paper downloads.
- Search for Papers: Enter a topic or keywords in the “Search ArXiv” tab.
- Download & Index: Select the number of papers to download and initialize the chat.
- Chat: Switch to the “Chat” tab and ask questions about the downloaded papers. Each answer will include references to the source documents.
- Add a UI interface for advanced ArXiv search to combine and ignore multiple queries based on arXiv API documentation.
- Add an option to create a new chat, which creates a new database and chat log with a unique session id, creating separation from past context.
- Add an upload option for papers from local machine.
- Built with [Streamlit](https://www.twine.net/signin [LangChain](https://www.twine.net/signin and [arXiv](https://www.twine.net/signin
ArXiv Chatbot: Interactive Research Assistant
ArXiv Chatbot is a Streamlit-based research assistant that allows you to search, download, and interactively chat about arXiv papers using advanced language models. The app provides a user-friendly interface for exploring research topics, asking questions, and viewing source documents for each answer.
Source Code can be found at https://www.twine.net/signin
Features
Usage
Next Steps
Credits
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