about_me:
name: "M. Sanjay Uddith Raju"
bio: "Mechanical Engineer turned into ML Engineer"
education:
degree: "B.Tech in Mechanical Engineering"
university: "Sri Venkateswara University"
cgpa: "7.9/10.0"
experiences:
- role: "Machine Learning Intern", "Aegion Dynamic Solutions"
- role: "ML Research Intern", "Indian Institute of Technology, Indore"
currently_learning:
- "Terraform"
- "Flyte" |
|
Pinned Loading
-
clip-mlops-pipeline
clip-mlops-pipeline PublicThis 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
-
Parallel-Hyperparameter-Tuning-for-XGBoost-Using-Jenkins
Parallel-Hyperparameter-Tuning-for-XGBoost-Using-Jenkins PublicThis 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
-
jenkins-ml-pipeline
jenkins-ml-pipeline PublicThis 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
-
TeluguGPT
TeluguGPT PublicTeluguGPT: 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
-
Contrastive-Language-Image-Pre-training-CLIP
Contrastive-Language-Image-Pre-training-CLIP PublicImplementation of CLIP, a model that unites vision and language by learning visual concepts from natural language through contrastive training. This repository demonstrates robust multi-modal embed…
Python
-
Self-Driving-Car
Self-Driving-Car PublicSelf-Driving Car Simulation: This project involves engineering a self-driving car simulation that utilizes reinforcement learning for advanced navigation on curved roads. A dynamic reward system ha…
Python
If the problem persists, check the GitHub status page or contact support.