About me


I am Kimbadanti Shaw, a Computer Science Engineering student specializing in Artificial Intelligence and Machine Learning. I have strong programming skills in Python, Java, C/C++, and experience with frameworks like Flask, as well as libraries including TensorFlow and Hugging Face. My interests lie in data analysis, machine learning, and software development, and I am committed to applying my skills in these areas to solve complex problems. I continuously seek to expand my knowledge and contribute to impactful solutions in AI and data science.


Skills

Experience

Education

  • Programming Languages:
    Python, Java, C/C++, JavaScript, MATLAB, HTML/CSS, Linux
  • Database Systems:
    MySQL, Oracle DB, MongoDB
  • Data Science & Machine Learning:
    TensorFlow, Hugging Face Transformers, Scikit-learn, NumPy, Pandas, Matplotlib, Seaborn
  • Frameworks & MLOps:
    Flask, Streamlit, Docker, AWS EC2, GitHub Actions, MLflow, DVC, Dagshub
  • Tools & Platforms:
    Git, GitHub, Google Colab, Jupyter Notebook
  • Computer Fundamentals:
    Operating Systems, Database Management Systems, Object-Oriented Programming (OOP), Computer Networks, Data Structures and Algorithms (DSA)
  • Python AI Intern- OneDose
    (June 2025- Present)

    Currently working as a Python AI Intern at OneDose. Involved in building intelligent healthcare solutions by leveraging AI models for data-driven insights. Responsibilities include data preprocessing, model development, and integration using Python-based AI frameworks. Collaborating closely with the team to improve automation and accuracy in medical data handling.

  • AI-ML Virtual Internship
    (September 2023-November 2023)

    Successfully completed the AIML Virtual Internship by AWS and Eduskill, gaining hands-on experience with AWS services like SageMaker, Rekognition, and Comprehend. Learned the complete ML workflow, including data preprocessing, model training, evaluation, and cloud deployment.
  • 2022-2026
    Bachelor's in Technology from the University of Engineering and Management, Jaipur.(8.6 CGPA till 5th semester)
  • 2020-2022
    Higher Secondary Education from Bethuadahari JCM High School.(87.6%)
  • 2020
    Secondary Education from Bethuadahari Girl's High School.(88.7%)

MY Projects

Chest Cancer Classification with MLOps Integration

The Chest Cancer Classification project is an end-to-end machine learning solution designed for classifying chest cancer images. It integrates data ingestion, preprocessing, model training, and MLOps tools like MLflow and DVC for experiment tracking and pipeline management. This project also includes automated CI/CD pipelines using Docker and GitHub Actions, with deployment on AWS EC2 and ECR. The Flask web application offers an intuitive interface for users to interact with the model and make predictions.

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Medibot – Medical Chatbot using LLMs & RAG

Medibot is an intelligent medical assistant that leverages Retrieval-Augmented Generation (RAG) to provide context-aware responses to health-related queries. It uses LangChain and OpenAI's LLMs for dynamic conversation generation, Pinecone for semantic vector search, and Streamlit for an interactive frontend. The project demonstrates modular backend integration and scalable chatbot design using advanced NLP techniques.

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Skin Cancer Classification Using Advance ML models

A deep learning project for skin cancer classification using Vision Transformers on the HAM10000 dataset, enhanced with data balancing techniques and TOPSIS-based model evaluation for optimal performance selection.

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Portfolio Web Page

The objective of this project is to design and develop a personal portfolio web page using HTML and CSS. This web page will serve as a digital resume and showcase my skills, projects, professional experiences, and contact information. The portfolio is responsive, ensuring it is accessible and visually appealing on various devices, including desktops, tablets, and smartphones..

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Technical Tools

LeetCode

Regularly solving problems on LeetCode to enhance my Data Structures and Algorithms skills.

Python

Proficient in Python, adept at crafting efficient solutions with clean and scalable code.

Flask

Skilled in Flask, proficient in web development, RESTful APIs, and microservices architecture, leveraging its lightweight framework for building scalable and robust web applications.

MATLAB

Skilled in MATLAB, proficient in numerical computation, data analysis, and algorithm development for engineering and scientific applications.

Git/GitHub

Experienced in Git and GitHub, proficient in version control, collaboration workflows, and managing repositories for efficient team development.

MySQL

Skilled in MySQL, proficient in database design, query optimization, and data manipulation for building robust applications.

OOP

Proficient in Object-Oriented Programming (OOP), adept at designing modular, reusable code structures, encapsulating data and behavior within classes for efficient software development and maintenance.

MongoDB

Skilled in MongoDB, proficient in working with NoSQL databases, data modeling, and managing large-scale applications with high availability and scalability.

Linux

Experienced in Linux, proficient in system administration, shell scripting, and managing server environments for smooth development and deployment workflows.

Jupyter Notebook

Proficient in Jupyter Notebook, using it extensively for data analysis, visualizations, and building interactive reports in Python.

NLP

Skilled in Natural Language Processing (NLP), leveraging techniques like tokenization, word embeddings, and model fine-tuning for text analysis and generation tasks.

MLflow

Experienced in using MLflow for managing the machine learning lifecycle, including experimentation, reproducibility, and deployment.

DVC (Data Version Control)

Proficient in using DVC for version control of machine learning models and datasets, ensuring smooth collaboration and reproducibility.

DAGsHub

Skilled in using DAGsHub for versioning and collaboration on data science and machine learning projects, leveraging its tracking of datasets, experiments, and model outputs.

AWS EC2

Proficient in using AWS EC2 for deploying scalable cloud infrastructure for machine learning models, web applications, and large-scale data processing.

Docker

Skilled in Docker for containerizing applications, enabling consistency across different environments and simplifying the deployment process.

Contact Me

West Bengal, India

Phone: +91 9832532410

Email: shaw08kimbadanti@gmail.com


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