💻 About Me

Resume | Blog | LinkedIn

My name is Rahul Shelke, a data scientist with
nearly 2 years of hands-on experience in building end-to-end machine learning systems,
including internships and a full-time role.

I am currently working on deploying ML models using FastAPI on AWS with CI/CD pipelines via Jenkins.
My focus areas are machine learning engineering, data pipelines, and model deployment in production.

I have experience in NLP, time series forecasting, deep learning, and generative AI.
I also write technical blogs focused on cloud ML deployment strategies across AWS, GCP, and Azure.

---

📂 Contributions & Projects	📊 Experience
Side Projects: Custom MLP Classifier: MLP from scratch with SGD, loss plots, decision boundaries ETT Transformer: Multivariate time series forecasting using Transformer architecture Heart Stroke ML Deployment: FastAPI + Jenkins + AWS S3, ECR, EC2 Blog Series: ML Model Deployment on AWS/GCP/Azure (Coming soon) Self-hosted GitHub Runner Setup	Work Experience: iNeuron.ai: Data Science Intern (Present) Freelance ML Projects: End-to-end ML delivery (2024) Education: B.Tech in [Your Major], [Your College/University] Data Science & GenAI Bootcamp, iNeuron

🛉 Contact

⚙️ Full Stack Data Scientist Tech Stack

Data Collection Data Processing Modeling Deployment Monitoring Python, Pandas, Web Scraping, APIs SQL, Pandas, NumPy, Spark, Airflow Scikit-learn, XGBoost, PyTorch, Transformers FastAPI, Flask, Docker, Jenkins, GitHub Actions MLflow, Prometheus, Grafana, Logging Visualization Data Storage Versioning Cloud Others Matplotlib, Seaborn, Plotly, Dash PostgreSQL, MongoDB, S3, BigQuery DVC, Git, HuggingFace Hub AWS, GCP, Azure Linux, VSCode, Notion, Colab

🖋️ Languages	📦 GitHub Stats