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Dhanush3620/README.md

Hey ☺, This is Dhanush

I am from College Park, MD

A Few Things About Me

Hi 👋, I am Dhanush and I work on Software Developement, ML Engineering, and Cloud infrastructure.

  • At Present, I work as an Data Intern at Maryland Transportation Authority.
  • I am Masters Graduate (Data Science - 2026) from University of Maryland at College Park, MD, USA.
  • I have a Bachelor’s degree (2024) in Computer Science and Engineering from VIT University at Amaravati, AP, India.
  • I also worked as a Software Engineer Intern at IBaseIT, Where I gained and applied my expertise in software development to ship awesome 🤩 end to end features in a production envirnoment.

What I have Knowledge of and Passionate to Work on🏋️‍♂️

  • ⚡ Strong background in C++, Python, AI Engineering and Full-Stack Software Development
  • 🔭 Building scalable backend and distributed systems
  • 🤖 Developing AI agents, LLM workflows, and automation tools
  • ☁️ Trained on AWS, Azure, Kubernetes, and Terraform

Interests in Social Life

  • Movies 🍿
  • Pickle Ball 🥎 and Bowling 🎳

Languages

C++PythonJavaTypeScript

Backend & APIs

FastAPIDjangoNodeJS

Frontend

ReactAngularVue.jsTailwindCSS

Cloud & Infrastructure

AWSAzureGoogle CloudDocker

Data & Distributed Systems

Apache KafkaApache SparkApache AirflowSnowflake

Databases

PostgresMySQLMongoDB

Machine Learning

PyTorchTensorFlowscikit-learnOpenCV

DevOps

JenkinsPostmanSelenium

Snake Chart

github contribution grid snake animation

Connect With Me 👇

GitHub Trophies

  • Incoming

Thanks for stopping by. I look forward to hear from you - dhanushg@umd.edu.

Dhanush Garikapati

Pinned Loading

  1. Attrition-Prediction-Explainable-AIAttrition-Prediction-Explainable-AIPublic

    Employee Attrition Prediction on IBM-HR Dataset from kaggle using LIME and SHAP tools

    Jupyter Notebook

  2. olist-marketplace-data-analysisolist-marketplace-data-analysisPublic

    Data analysis on Brazilian marketplace data (Olist)

    Jupyter Notebook

  3. clearshotclearshotPublic

    A diffusion-based pipeline for enhancing amateur product photos to professional quality. Uses Stable Diffusion with LoRA fine-tuning and ControlNet for structural preservation to improve lighting, …

    Python