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

Achievements

  • 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- Sep 2025)

    Worked as a Python AI Intern at OneDose, where I contributed to building and deploying scalable backend microservices using Flask and REST APIs. I designed and deployed containerized services on Google Cloud Run, implementing CI/CD pipelines with GitHub Actions to improve deployment reliability and reduce release cycles.

    I developed an intelligent OCR correction system leveraging fuzzy string matching techniques and the Gemini 2.5 Pro API, which enhanced data accuracy by 35% and significantly reduced manual processing efforts. My work directly supported the company’s production systems, ensuring high availability, automation, and AI-driven data processing.

  • 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%)
  • Top 2% — NPTEL
    Python for Data Science
    Ranked in the top 2% nationwide for strong foundations in Python and data analysis.
  • IBM (via Coursera)
    Generative AI – Foundational Models for NLP & Language Understanding
    Learned transformer-based models, NLP pipelines, and LLM fundamentals.

My Projects

Medical Voice Bot – AI-Powered Voice Assistant

Medical Voice Bot is an intelligent voice-enabled healthcare assistant that allows users to interact using speech. It integrates Speech-to-Text (STT), Large Language Models (LLMs), and Text-to-Speech (TTS) to provide real-time, conversational medical assistance. The system demonstrates an end-to-end AI voice pipeline for healthcare applications.

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Demo Video

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 Skills & Tools

Programming Languages

  • Python
  • Java
  • C / C++
  • JavaScript (Node.js)
  • SQL

Backend & Web Development

  • FastAPI
  • Flask
  • RESTful APIs
  • Microservices Architecture
  • MVC Architecture

Databases

  • MySQL
  • MongoDB
  • Oracle DB
  • Database Design & Optimization

AI & Machine Learning

  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Model Training & Evaluation

GenAI & LLM Systems

  • Large Language Models (LLMs)
  • RAG (Retrieval-Augmented Generation)
  • Embeddings & Vector Search
  • Prompt Engineering
  • LLM APIs (GROQ, Gemini)

ML & AI Frameworks

  • PyTorch
  • TensorFlow
  • Keras
  • Scikit-learn
  • LangChain

Cloud & DevOps

  • Google Cloud Platform (Cloud Run, Vertex AI)
  • AWS (EC2, S3)
  • Docker
  • GitHub Actions (CI/CD)
  • Linux

MLOps & Developer Tools

  • MLflow
  • DVC
  • Git & GitHub
  • Jupyter Notebook
  • Google Colab

Core Computer Science

  • Data Structures & Algorithms
  • Object-Oriented Programming (OOP)
  • DBMS
  • System Design Basics

Contact Me

West Bengal, India

Phone: +91 9832532410

Email: shaw08kimbadanti@gmail.com


Let's get in touch. Send me a message: