https://github.com/codeofrahul/codeofrahul
Config files for my GitHub profile.
https://github.com/codeofrahul/codeofrahul
config github-config
Last synced: 5 months ago
JSON representation
Config files for my GitHub profile.
- Host: GitHub
- URL: https://github.com/codeofrahul/codeofrahul
- Owner: CodeofRahul
- Created: 2024-09-09T07:42:05.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-07-17T04:51:53.000Z (7 months ago)
- Last Synced: 2025-08-12T15:39:46.366Z (6 months ago)
- Topics: config, github-config
- Homepage: https://github.com/CodeofRahul
- Size: 6.84 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Hi, I'm Rahul
MLOps Engineer | Building Scalable & Production-Ready AI Systems
---
## 🚀 About Me
- 🛠️ **MLOps Engineer** passionate about automating and scaling machine learning solutions.
- 🧠 **Data Scientist** experienced in Machine Learning, Deep Learning, NLP, and Computer Vision.
- ☁️ Skilled in **Cloud Deployments** (AWS EC2, S3, EKS, ECR) and **CI/CD Automation** (GitHub Actions).
- 🛡️ Focused on building **production-grade, maintainable, and scalable AI systems**.
---
## 🚀 Core Expertise
- 🔹 End-to-End MLOps Pipelines
- 🔹 Machine Learning and Deep Learning Solutions
- 🔹 Natural Language Processing (NLP) and Computer Vision
- 🔹 Experiment Tracking (MLflow), Model Versioning (DVC), Model Registry
- 🔹 CI/CD Automation (GitHub Actions)
- 🔹 Docker, Kubernetes (AWS EKS) Deployment
- 🔹 AWS Cloud Services (EC2, EKS, S3, ECR, IAM)
- 🔹 Monitoring and Observability (Prometheus, Grafana)
- 🔹 Scalable ML Systems Architecture
---
## 💻 Tech Stack & Tools
- 🐍 Python | SQL | Bash | Linux
- 🧪 MLflow | DVC | Airflow
- 📦 Docker | Kubernetes (AWS EKS)
- ☁️ AWS (SageMaker, Lambda, CloudWatch, S3, EC2, ECR, IAM, EKS)
- ⚙️ Git | GitHub Actions | CI/CD Pipelines
- 🛠️ Prometheus | Grafana
---
## 🏆 Featured Projects
### 🧠 MLOps NLP Capstone Project
- Built a production-ready NLP MLOps pipeline for sentiment analysis.
- Integrated DVC for data versioning, MLflow for experiment tracking.
- Deployed as a Dockerized microservice on AWS EKS with CI/CD via GitHub Actions.
- Real-time monitoring and alerting with Prometheus and Grafana.
🔗 [View Project Repository](https://github.com/CodeofRahul/MLOPS-Capstone-Project)
---
### 🚗 MLOps Vehicle Insurance Prediction Pipeline
- Developed an end-to-end MLOps solution to predict vehicle insurance responses.
- Achieved a 23.5% improvement in F1-score through model optimization.
- Deployed pipelines on AWS, utilizing Docker, CI/CD workflows, and MongoDB.
🔗 [View Project Repository](https://github.com/CodeofRahul/MLOPS-Vehicle-Insurance-Project)
---
### 🛂 US Visa Approval Prediction (MLOps)
- Engineered a scalable machine learning pipeline for visa approval prediction.
- Achieved 95% model accuracy, deployed with Dockerized CI/CD workflows.
- Data storage and retrieval managed via MongoDB.
🔗 [View Project Repository](https://github.com/CodeofRahul/US_visa_approval_prediction_MLOPS)
---
### 🍔 Food Delivery Time Prediction ML Pipeline
- Designed a modular ML pipeline to predict food delivery times.
- Implemented advanced regression models including XGBoost and Random Forest.
- Ensured robust data validation, logging, and custom exception handling.
🔗 [View Project Repository](https://github.com/CodeofRahul/Food-Delivery-Time-Prediction-MLOPS)
---
## 📫 Let's Connect
👋 I’m open to collaborations, freelance opportunities, or full-time roles in MLOps & AI Engineering.
Feel free to connect or drop a message!:
📧 **Email:** [420kumarahul@gmail.com](mailto:420kumarahul@gmail.com)
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Building in public. Learning every day. Let’s connect! 🚀