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uddithmachiraju/README.md 
# Sanjay Uddith Raju | AI, MLOps, Cloud

class SanjayUddithRaju:
    def __init__(self):
        self.name = "M. Sanjay Uddith Raju"
        self.education = "B.Tech Mechanical Engineering @ SV University (CGPA: 8.0/10)"
        self.roles = [
            "AI Intern @ Cohyve",
            "ML Intern @ Aegion Dynamic Solutions",
            "Research Intern @ IIT Indore"
        ]
        self.skills = {
            "Languages": ["Python", "Java", "C/C++", "SQL", "R", "Shell"],
            "Frameworks": ["PyTorch", "TensorFlow", "Scikit-learn", "Flask", "FastAPI", "HuggingFace"],
            "DevOps": ["Docker", "Kubernetes", "Terraform", "Jenkins", "MLflow"],
            "Cloud": ["AWS", "Azure AI/ML"]
        }
        self.projects = {
            "AWS Serverless Pipeline": "Image processing with Lambda + S3 + SNS",
            "ZYRO": "FastAPI backend orchestrator (YAML → API → Docker/K8s)",
            "Agentic RAG Chatbot": "Enterprise multi-agent chatbot with Gemini + ChromaDB"
        }

    def now(self):
        return {
            "AI Intern": "Fine-tuning LLaMA-3-8B, building RAG backends",
            "ML Intern": "Automating AWS Lambda + Terraform infra",
            "Research": "GANs for adversarial malware detection"
        }

    def current_focus(self):
        return [
            "Fine-tuning LLaMA-3-8B",
            "Building context-aware RAG backends",
            "Automating AWS infra with Terraform"
        ]

Pinned Loading

  1. customer-feedback-analysis-pipeline customer-feedback-analysis-pipeline Public

    A machine learning pipeline that analyzes customer feedback data to extract actionable insights. The system handle data ingestion, preprocessing, model training, and deployment for real-time predic…

    Jupyter Notebook

  2. clip-mlops-pipeline clip-mlops-pipeline Public

    This repository is designed to train, evaluate, and deploy CLIP model for image-text processing. It includes modular components for data processing, model training, experiment tracking with MLflow,…

    Python

  3. terraform-web-server-deployment terraform-web-server-deployment Public

    Building a simple AWS VPC setup with a public subnet, internet gateway, and a web server (EC2) that's accessible over SSH and HTTP using Terraform.

    HCL

  4. Parallel-Hyperparameter-Tuning-for-XGBoost-Using-Jenkins Parallel-Hyperparameter-Tuning-for-XGBoost-Using-Jenkins Public

    This repository automates parallel hyperparameter tuning for XGBoost using Jenkins pipelines. It trains multiple models simultaneously, selects the best-performing model, and deploys it via a Flask…

    Python

  5. jenkins-ml-pipeline jenkins-ml-pipeline Public

    This project automates the end-to-end machine learning training pipeline using Jenkins, ensuring seamless integration and automation. When new data arrives or code is updated, the pipeline automati…

    Jupyter Notebook

  6. TeluguGPT TeluguGPT Public

    TeluguGPT: A machine translation model that converts English text to Telugu using Transformer architecture. This project leverages self-attention mechanisms to provide accurate and contextually rel…

    Python