Role: AI EngineerGenerative AI: Develop proof-of-concepts (POCs) to address business challenges by building virtual assistants, automation solutions, conversational search assistants, language translation systems, content generation tools, image generation applications, and personalized recommendation systems.Large Language Models (LLMs): Optimize performance through techniques such as prompt engineering, retrieval augmentation, and leveraging embeddings.Technologies: Google Gemini, Azure OpenAIRole: Full Stack DeveloperFront-end Development: Create UI components using Angular or React, incorporating Tailwind, Material UI, TypeScript, Next.js, and Redux. Ensure responsiveness and usability across different devices.Back-end Development: Develop APIs using Python (Flask) or Node.js (Express.js) to facilitate communication between frontend and backend services.Integration: Implement RESTful APIs and WebSocket connections. Use Axios in the front-end to handle API requests efficiently.Cloud Environment: Utilize Azure, Google Cloud Platform (GCP), and AWS.-Conducted code review to maintain high quality standards and identify areas of improvement and pull request approval.-Maintained existing software through bug fixes and enhancement-Support associate to middle software engineers

•Duties include design, development, and administration of salesforce.com application.•Worked in agile-based scrum model, managed, and coordinated with the onshore team, and got the user stories delivered to the client on time within the sprints.•Gathered user requirements and was involved in application design discussions and documentation.

-Identify Usability and develop functional and smooth, easy-to-operate, andeye-catching web applications. -Develop prototypes and high-quality mock-ups.-Design, optimize and refactor code to maximize performance and user experience.-Perform Browser testing and debugging.