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abhinavvpundirr/README.md

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🧬 About Me

Research Software Developer at the Center for Innovative Design and Analysis (CIDA), Colorado School of Public Health, CU Anschutz Medical Campus. I build production-grade machine learning pipelines and data science tools for healthcare research.

My work sits at the intersection of machine learning, large-scale record linkage, and biomedical signal processing. I care about writing reproducible code, building things that work on real messy data, and making analysis accessible.

💻 Tech Stack

Machine Learning & Deep Learning

PyTorch scikit-learn TensorFlow Keras XGBoost

Languages

Python R Java

Data & Databases

Pandas NumPy PostgreSQL PostGIS SciPy

MLOps & Cloud

Docker MLflow AWS EC2 SageMaker GCP Git GitHub Actions

Signal Processing & Visualization

MNE-Python Jupyter Plotly Gradio

R Development

Shiny ggplot2 tidyverse

Tools & OS

Linux VS Code Hugging Face

🔬 Research Interests

Healthcare ML · Biomedical Signal Processing · Large-Scale Record Linkage · Disease Biomarker Discovery · Biostatistics · Reproducible Research Pipelines

Random Dev Quote

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  1. Network_Intrusion_Detection Network_Intrusion_Detection Public

    This project aims to develop machine learning models for cyber security threat detection using the CTU-13 dataset. The dataset consists of both normal and attack traffic, and the goal is to build c…

    Jupyter Notebook 3

  2. stock-prediction-hybrid-model stock-prediction-hybrid-model Public

    A machine learning pipeline that combines LSTM neural networks with Large Language Models (LLMs) for stock price prediction.

    Python

  3. BioMedHR BioMedHR Public

    Biomedical Health Records Analysis Toolkit - R Package with Shiny Dashboard

    R