I've built AI-powered backend services and REST APIs at Alonzo AI using Python and FastAPI, supporting applications that work with structured and unstructured data.
I engineered scraping, transformation, and ETL pipelines that improved data-processing efficiency by 35%. I also enhanced RAG retrieval using embeddings, semantic search, and Milvus, improving relevance by 25% and reducing query response time by 30% across 50K+ knowledge-base records.
My projects include a hybrid machine learning framework for early Alzheimer’s detection that achieved 99% classification accuracy while reducing model complexity by approximately 70% through bio-inspired feature selection.
I also created a multimodal AI Doctor Chatbot with LLaMA3, Groq API, Whisper V3, Gradio, gTTS, and ElevenLabs. My Alzheimer’s research was published in an IEEE-sponsored conference.
