Kemi – Pharmacology & Biochemical Intelligence

Kemi bridges deep domain chemistry with modern vector intelligence — providing an enterprise pharmacology analyzer and biochemical retrieval engine. Leverages specialized chemical vector indexing and local Gemma LLM reasoning to analyze molecular interactions, drug formulations, and biochemical lab research data.

Key Engineering Highlights:

• 🧪 Cross-Disciplinary Scientific Rigor: Merges BSc Chemistry foundation with advanced vector search algorithms for chemical compounds.
• 🔍 ChromaDB Vector Retrieval: Sub-second semantic indexing over pharmacological interaction datasets.
• 🧠 Gemma LLM Reasoning: Automated molecular synthesis analysis and toxicity risk evaluation.
• 🐳 Containerized Workflow: Fully containerized deployment with reproducible scientific dependency environments.

Biochemical AI Architect

• ✅ Architected pharmacological document and compound vector indexing pipeline in ChromaDB
• 🔬 Integrated Google Gemma reasoning models for domain-specific biochemical inference
• 🐳 Built containerized deployment workflow ensuring reproducible analytical results