Hi, I’m Rohith Jangam
Machine Learning Engineer with a passion for ML, Deep Learning, and MLOps. I build scalable pipelines, deploy intelligent models, and craft modern, visually polished web experiences.
“The important thing is not to stop questioning. Curiosity has its own reason for existing.”
About Me
I am a Machine Learning Engineer with 2+ years of experience in developing, deploying, and scaling ML and Deep Learning solutions. My expertise lies in building end-to-end ML pipelines, applying advanced neural networks, and adopting MLOps best practices for reproducibility and scalability.
What I Do
I work across the full ML lifecycle — data ingestion, preprocessing, model training, and deployment. I use scikit-learn, TensorFlow, and PyTorch, combined with DVC, MLflow, and Docker, to deliver scalable ML workflows in cloud environments.
Machine Learning
- Python
- scikit-learn
- TensorFlow
- PyTorch
MLOps & Workflow
- DVC
- MLflow
- Docker
- Git / CI-CD
Data & Cloud
- PostgreSQL
- AWS / GCP
- Automation
Classical ML & neural networks (CNNs, RNNs, Transformers) for prediction, classification, and recommendation.
End-to-end MLOps with DVC, MLflow, Docker, CI/CD workflows, and cloud deployment on AWS/GCP.
Get in Touch
Have a project in mind, feedback to share, or just want to say hello? I’d love to hear from you. Drop me a message and I’ll get back to you as soon as possible.