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Busy fighting odds in life.
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Busy fighting odds in life.
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Achievement: Pull SharkAchievement: YOLO

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AjayKrishna76/README.md

Hi there, I'm Sai Ram Ajay Krishna Gabbula! 👋

I'm a passionate Data Scientist/Data Engineer/Machine Learning Engineer with a knack for turning data into insights and driving impactful decisions. Welcome to my GitHub profile, where I showcase my projects and share my journey in the world of data science/data engineering/machine learning.

About Me ℹ️

  • 💻 Data Engineer at Techlogyx Inc
  • 🌍 Based in Raleigh, NC
  • 🎓 Master's in Computer Science from UNCG
  • 📊 Experienced in ETL/ELT pipelines, Big Data technologies, ML pipelines, Gen AI, MLOps and cloud platforms like AWS, Azure and GCP
  • 🌱 Currently learning advanced machine learning techniques, diving deeper into data visualization and trying to catch up with the fastest-moving field of AI

My Projects 🚀

Here are some of the projects I've been working on:

Project 1: [End-to-End AI Customer Support Chatbot with deployment Flow]

  • Implemented the full life cycle of an AI application showing the deployment flow in a real-world industry setting using all the tools and services for effective source control and deployments.
  • Technologies: Python (for EDA & ML), TensorFlow, Keras, PySpark, SQL, CI/CD, LLMs (OpenAI, Gemini), Langchain, Databricks

Project 2: [Building Segmentation Model]

  • Description: Engineered a high-accuracy segmentation model using Python, CNN, and U-Net architectures within TensorFlow/Keras, achieving 98.92% accuracy in infrastructure identification from NOAA aerial images for effective hurricane damage analysis and prevention planning
  • Technologies: Python, TensorFlow, Keras, Object detection, Deep Learning, U - Net, CNN, Semantic Segmentation.

Skills & Tools 🛠️

  • Data Engineering: ETL/ELT, Data Modeling, Data Warehousing, API integration and development
  • Programming Languages: Python, SQL, Scala
  • Big Data Technologies: Spark, Hadoop, Hive, Kafka
  • ML/DL: TensorFlow, PyTorch, Keras, CNN, NLP, Regression, Supervised/ Unsupervised/ Semi-Supervised ML models, Transfer Learning, RNN, LSTM, LLM, Recommendation systems
  • Cloud Platforms: AWS, GCP, Azure
  • Tools: Airflow, Docker, Kubernetes, Git, MLFlow, Kubeflow

Let's Connect 📫

Feel free to email me at [ajay.krishna76@gmail.com] or connect with me on LinkedIn. I'm always open to collaborations and new opportunities!

Thank You 🙏

Thank you for visiting my GitHub profile! Don't forget to check out my repositories and projects. Happy coding! ✨

Pinned Loading

  1. RAG RAG Public

    This repository contains the implementation of a Retrieval-Augmented Generation (RAG) system using LangChain and LangSmith. The project aims to leverage the capabilities of LangChain for language p…

    Jupyter Notebook

  2. DataScience-Projects DataScience-Projects Public

    This repository contains different projects I have done in Data Science field.

    Jupyter Notebook

  3. Miscellanious-projects Miscellanious-projects Public

    This is the work I am carrying out for my capstone project.

    Jupyter Notebook

  4. U-Net U-Net Public

    Jupyter Notebook

  5. UNCG-DAISY/BuildingFootprints UNCG-DAISY/BuildingFootprints Public archive

    extract building footprints from NOAA ERI

    Jupyter Notebook 1 1

  6. Image-Classification-ViT Image-Classification-ViT Public

    Jupyter Notebook