Professional Overview
CSE student, with hands-on experience designing end-to-end ML pipelines spanning data preprocessing, model training, containerized deployment, and REST API serving. Proficient in Python, Scikit- learn, and Machine Learning algorithms, with practical exposure to FastAPI, Docker, AWS (S3, ECR, EC2), and GitHub Actions for building production- system.
Areas of Expertise
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.