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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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kvamsi7/README.md

Hi there! 👋

I'm Katam Vamsi Krishna, a passionate Machine Learning Engineer specializing in Machine Learning (ML), Natural Language Processing (NLP), and Generative AI. I thrive on building AI-driven solutions that solve real-world problems through automation, optimization, and predictive modeling.

🚀 Latest Project

📚 Book Recommendation System Using LLM

A Large Language Model (LLM)-powered book recommender system that integrates:

  • Text Classification (Zero-shot classification with facebook/bart-large-mnli)
  • Document Similarity Checks
  • Sentiment Analysis
  • Personalized Book Recommendations based on user preferences

🔹 Tech Stack: Hugging Face Transformers, PyTorch, NLP, ML Pipelines

🔍 About Me

  • Current Focus: Advancing LLMs for NLP, text generation, and AI-driven applications.
  • Experience: 4+ years of hands-on experience designing, building, and deploying machine learning solutions.
  • Tech Stack: Python, TensorFlow, PyTorch, Scikit-learn, AWS, SQL, Git, Flask, FastAPI.
  • Passion: Exploring mechanistic interpretability of LLMs and integrating MLOps best practices into AI-driven applications.

🛠️ Technologies & Tools

  • Programming Languages: Python, JavaScript, C++, R
  • Machine Learning & Data Science: TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy
  • Natural Language Processing (NLP): Transformers, BERT, GPT, NER, Sentiment Analysis, Summarization
  • Cloud & Deployment: AWS (S3, Lambda, EC2), Google Cloud, Docker, Kubernetes, MLFlow
  • Web Development: Flask, FastAPI, React
  • Databases & Retrieval: SQL, FAISS, Chroma, ElasticSearch, Neo4j, MongoDB
  • Big Data & MLOps: Spark, Hadoop, DVC, Airflow, Jenkins, CI/CD
  • Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI

📌 Projects

1️⃣ Book Recommendation System (LLM-based) (Latest 🚀)

An AI-powered personalized book recommender leveraging zero-shot classification, similarity checks, and sentiment analysis.

2️⃣ End to End Deep Learning Project with CI/CD pipeline

A CNN-based medical imaging classifier to assist in kidney disease detection.

3️⃣ Evaluating Chain of Thought (CoT) Reasoning in LLMs

Exploration of CoT prompting techniques for improving reasoning capabilities in LLMs.

4️⃣ Credit Risk Assistant

AI-driven loan approval system predicting credit risk with real-time AWS deployment.

5️⃣ Document Classifier for Ticket Routing

A machine learning model for automated ticket classification and routing.

6️⃣ IMDB Sentiment Analysis Using LSTM

A Long Short-Term Memory (LSTM) network for IMDB movie review sentiment classification.

7️⃣ Fashion MNIST End-to-End Model

Neural network-based clothing image classifier trained on the Fashion MNIST dataset.

8️⃣ Plant Disease Prediction Using CNN

Image classification model detecting plant diseases for early agricultural management.

9️⃣ Breast Cancer Prediction Using PyTorch

A feedforward neural network built with PyTorch for breast cancer detection.

🌐 Connect With Me

📩 Feel free to reach out for collaborations, research discussions, or AI/ML-related conversations!

Profile views

Thank you for visiting my GitHub! I’m always open to learning new things and collaborating on exciting projects. 🚀

Pinned Loading

  1. ML-portfolio ML-portfolio Public

    Jupyter Notebook 1

  2. gen-ai-apps gen-ai-apps Public

    repo for gen-ai applications

    Jupyter Notebook

  3. kidney-disease-classification-dl-project kidney-disease-classification-dl-project Public

    Kidney Disease Classification MLflow DVC

    PureBasic

  4. vads-prevalent-safety-llm vads-prevalent-safety-llm Public

    Research repository for exploring mechanistic interpretability and safety evaluations in large language models (LLMs), focusing on understanding SAE features and prompt safety benchmarking.

    Jupyter Notebook 1