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🗺 Harshith's Portfolio

Welcome to my data portfolio! Here, I document a summary of my projects in the data field.


Table of Contents


Machine Learning

Computer Vision

Project Link Tools Description
Real-Time Expression Detection OpenCV, Keras, TensorFlow CNN-based real-time facial expression recognition from video streams.

Traditional ML

Project Link Tools Description
Hospital LOS Prediction scikit-learn, pandas ML model predicting hospital length of stay from 100k records. XGBoost achieved 0.3032-day MAE, beating baselines.

LLM & RAG

Project Link Tools Description
PDF RAG Chatbot LangChain, ChromaDB, Ollama, Streamlit, Docker Fully local RAG pipeline to chat with multiple PDFs. Chunks documents into embeddings, retrieves semantically similar context, and generates grounded answers with page-level source citations. No API costs — runs entirely on-device via Ollama.
Healthcare Research Agent LangChain, OpenAI API, Streamlit, Docker 4-Agent AI system searching PubMed to create medical research reports.
CiteIQ LangGraph, ChromaDB, LangSmith, HuggingFace Spaces Production agentic RAG system with LangGraph multi-agent orchestration, hybrid retrieval, and LLM-as-judge self-evaluation (faithfulness + relevancy scoring). Processes clinical medical literature with 1.0 faithfulness scores. Deployed live at harshxth-citeiq.hf.space.

Data Engineering

Project Link Tools Description
Hospital Readmission Pipeline Apache Airflow, BigQuery, GCS, Python, SQL End-to-end GCP data pipeline for hospital readmission analysis and revenue insights. Implements Bronze → Silver → Gold medallion architecture in BigQuery, orchestrated via Cloud Composer.

Data Analytics

(PowerBI, Tableau, SQL analysis will push soon)

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