Solo Project:An AI assistant built using a RAG pipeline with FAISS, Sentence Transformers, and Mistral-7B, featuring a FastAPI backend and real-time chat interface for accurate, context-aware responses.

Solo Project: A Django-based video streaming platform for user sign-up, video uploads, and streaming. It includes features for user authentication, video management, and a content gallery.

Team Project: AI-powered project that generates creative stories from images using Azure’s image analysis and OpenAI's language model. Available with both console-based and Streamlit-based interfaces for easy interaction.

Team Project: A Python-based system using OpenCV to detect facial expressions and emotions, then recommends music based on the user's emotional state to enhance the listening experience.

Team Effort: Developed 30+ Telegram bots in Python for various tasks such as file management and URL uploads, improving digital interactions for clients across multiple use cases.

Gained foundational knowledge in cloud computing, global infrastructure, and core AWS services.

Mastered CRUD operations, data modeling, aggregation pipelines, and MongoDB Atlas integration using PyMongo in Python.

Learned to build secure, cloud-native AI apps using Azure OpenAI, Microsoft Fabric, and Azure management tools.

Covered Git essentials and GitHub Copilot to streamline development workflows and manage version control effectively.

Learned Azure AI tools and services for building and deploying AI-based applications and managing workloads.

Explored Azure ML, MLOps, DevOps lifecycle, and building AI applications with hands-on exposure.

Covered Docker, Kubernetes, and DevOps principles to enable container-based app development and deployment.

Learned key object-oriented principles (SRP, OCP, LSP, ISP, DIP) for writing maintainable, clean code.