Experience

Teaching undergraduate computer science and ICT courses and conducted research.

Conducting Mphil research in computer vision based volleyball analytics.

Teaching advanced diploma in Data Science courses.

Involved in a regular conduct of practical sessions for course such as Artificial Intelligence, Knowledge Representations, Intelligent Systems, Nature Inspired Computing, Programming for Data Science and AI planning.

Involved in a regular conduct of practical sessions for Machine Learning Course

Taught undergraduate AI courses.

Involving regular conduct of practical classes, supervising undergraduate students (1st, 2nd, 3rd, and 4th year), grading laboratory reports, and conducting workshops associated with C and Java programming languages, Database Management System, Knowledge Representation and Intelligent Systems

Coordinating the Master's program in Data Science and Artificial Intelligence.

Developed end-to-end machine learning pipelines using Amazon SageMaker, ensuring scalable and efficient model training. Created an MLOps CI/CD template to automate the machine learning lifecycle, integrating continuous integration and deployment processes. Applied machine learning algorithms and deep learning frameworks such as Keras to develop predictive models. Implemented JumpStart in SageMaker Studio to streamline and accelerate the development of machine learning models. Conducted experiments using the CatBoost algorithm for churn prediction. Documented all stages of the machine learning pipeline and MLOps CI/CD template creation, ensuring clear and comprehensive technical documentation.