Configured AWS S3 with CloudFront distribution to deliver secure, scalable, and low-latency content globally. Enhances performance through caching at edge locations.

Set up an AWS EC2 instance with Flask behind a Load Balancer to ensure high availability and scalable web application hosting. The load balancer distributes traffic across instances, improving reli…

Developed Deep_STAT, a deep learning-based framework for advanced statistical analysis and predictive modeling on complex datasets.

Developed DAG-analysis for studying Directed Acyclic Graphs, enabling insights into dependencies, causal inference, and data flow structures

AutoMixRegR is a machine learning framework for automated mixed-effects regression, enabling efficient modeling of complex hierarchical and grouped data in R.

Developed ClinicalStatAI, a platform that leverages AI for clinical data analysis and decision support. It enables faster, data-driven insights to improve healthcare outcomes.

AutoMixRegPY is a Python-based framework for automated mixed-effects regression, designed to model complex hierarchical and grouped data efficiently.

Different R codes for generating large number of exams with solutions. This can be an alternative way for examine international students.

Developed Image_OpenCV, a project utilizing OpenCV in Python for image processing, computer vision, and object detection tasks.

Built a Currencies-Price-Prediction model using machine learning to forecast currency exchange rates. Helps in analyzing market trends and decision-making.

Built LLM_With_Math, a project integrating large language models with mathematical reasoning to solve and explain complex math problems.

Implemented inference for a Mixture of Rayleigh distributions using the EM algorithm, enabling accurate parameter estimation for complex probabilistic models.