Professional Overview
M.Tech graduate in Artificial Intelligence & Machine Learning with strong skills in Python, machine learning, deep learning, data analytics, and NLP. Passionate about solving real-world problems using AI, eager to learn, adapt quickly, and contribute effectively to remote teams.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
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.
