Resume

• Sales forecasting for new products to optimize restocking decisions, in collaboration with data and supply chain teams.
• Development of agentic workflows on Dify low-code platform with CI/CD pipelines, Dockerization, and deployment management.
• Functional testing of the Gaia chatbot in collaboration with the development team.

Tech: Python, Dify, ML, Time Series, SQL, GCP (Vertex AI, BigQuery), GitLab, Prophet Hybrid, XGBoost, LightGBM, Docker, Linux

• Developed and integrated an LLM-based medical phone agent in a voice system, automating patient interactions and appointment scheduling via advanced prompting.
• Measured agent performance on scheduling and constraint management, reaching 88% accuracy.

Tech: Scrum, Python, Speech-to-Text, Text-to-Speech, LLM, VAPI, Smartly.ai, Node.js

• Designed an ML + RAG pipeline to evaluate iPSC cell health and predict future differentiation with 90% accuracy.
• Multidisciplinary team project — awarded 2nd prize for Best Idea.

Tech: Python, SVM, KNN, XGBoost, ESM-2 Embedding, RAG, Pinecone