Applied AI Engineer & Data Scientist

An end-to-end retrieval-augmented generation system that grounds a local LLM in peer-reviewed PubMed abstracts to answer questions on the neurochemistry of mental health, evaluated against the BioASQ-13b biomedical QA benchmark.

BERTScore 0.67 · Answer Correctness 0.60

• RAG
• LlamaIndex
• FAISS
• BioBERT
• llama.cpp
• LLM Evaluation
• RAGAS
• Biomedical NLP
• Local LLMs
• Python

A production-style NLP pipeline that classifies Apple-product feedback by sentiment and product topic, with built-in PII redaction and sarcasm-aware sentiment correction. Served through a FastAPI REST API and a Streamlit UI on a swappable, dependency-injected inference pipeline.

• Python
• PyTorch
• Hugging Face Transformers
• RoBERTa
• FastAPI
• Streamlit
• NLP
• Sentiment Analysis
• PII Redaction
• Sarcasm Detection
• Topic Classification
• REST API

A semi-structured, non-parametric memory framework for RAG that combines knowledge graphs with a hierarchical vector store. My contributions: Query Classification (heuristics → LLM-bootstrapped labels → fine-tuned BioLinkBERT) and Entity-Relation Extraction (REBEL fine-tuned on BioRED, with FastCoref preprocessing) — landed on REBEL after a long experimental funnel.

F1 0.64 · Query Classification on BioASQ

• Python
• PyTorch
• Hugging Face Transformers
• REBEL
• BART
• BioRED
• BioASQ
• BioLinkBERT
• FastCoref
• scispaCy
• Coreference Resolution
• Relation Extraction
• Biomedical NLP
• Knowledge Graphs
• RAG
• Seq2Seq
• Fine-Tuning
• LLM-Based Labeling
• Groq
• NLP