Developing AI/ML Solutions: Build, train, and deploy models in
Natural Language Processing (NLP), computer vision, and classical ML
Generative AI Applications: Design and implement LLM-powered applications using frameworks like LangChain, Azure OpenAI, BOT Framework SDK, and FAISS vector databases
Software Engineering Practices: Implement Java, Spring Boot, Microservices, and scalable AI system architecture, ensuring interpretability and efficiency .
Cloud & Data Integration: Use Azure Blob Storage, Cosmos DB, and other cloud solutions to manage large datasets for AI
