Machine Learning Intern

• Developed ML models to forecast cruise ship textile needs (towels, bedsheets, linens)
• Implemented pipelines for continuous model updates with new data
• Optimized model performance for forecasting precision, scalability, and cost-driven inventory planning

Machine Learning Intern

• Implemented agentic framework reducing SDS document processing time by 78% for fire code classification
• Delivered 317,000+ document processing solution generating $26,000+ cost savings
• Built containerized architecture with Docker, AWS (EC2, S3, Lambda, ECS), and Azure deployment
• Built 24/7 system observability using Langfuse, Redis Insight, CloudWatch, and OpenTelemetry

Software Engineering Intern

• Implemented 3x faster knowledge retrieval through Neo4j knowledge graphs and fine-tuned open-source LLMs
• Reduced irrelevant responses by 52% through custom RAG pipelines with pgvector and ChromaDB
• Improved response time by 67% through automated content extraction and domain-specific knowledge base chunking

Team Lead

• Led 5-person team performing market entry research across retail, law, and restaurant sectors
• Assessed adoption potential of AI-driven training solutions for soft and technical skills

Team Lead

• Directed 5-member team on market research for floor plan financing in luxury car dealerships
• Evaluated financing and growth opportunities with data-driven recommendations

Event Coordinator

• Organized technical workshops on Agentic AI and modern development practices
• Mentored 5+ students in AI and cloud computing fundamentals

Bachelor of Science, Computer Science

• Computer Science GPA: 3.3 · Data Science GPA: 3.84
• Recognized as Top 3 Intern at ISSM.AI (2024/25)