Hire Shylendra P. - Generative AI Engineer

Data Scientist & Generative AI Engineer with 3 years of experience in developing and deploying LLM-driven solutions for enterprise automation, document processing, and intelligent virtual assistants. Skilled in building GenAI applications using OpenAI, Azure OpenAI, and LangChain frameworks. Contributed to the design of virtual assistants integrated with Microsoft Teams, SharePoint, and OneDrive via Microsoft Graph API, reducing support resolution time by 35%. Engineered intent classification pipelines with Azure AI Foundry Prompt Flow and developed internal toolkits for prompt evaluation, hallucination detection, and LLM benchmarking—improving reliability and reducing inference costs by 25%. Experienced in creating Azure MLOps pipelines to deploy RESTful GenAI APIs for use cases like resume parsing, code generation, image summarization, and Q&A systems.

* Designed and implemented AI-driven solutions using LLMs like OpenAI GPT-4 and Google Gemini Pro to solve real-world business problems. * Developed context-aware Q&A chatbots by integrating RAG architecture with vector databases (FAISS) and embedding techniques. * Built and deployed interactive web applications using Streamlit, enabling user-friendly interfaces for document understanding tasks. * Integrated APIs (OpenAI, Gemini Vision) for document processing, natural language understanding, and image-to-text extraction. * Focused on reducing hallucinations in LLM outputs by grounding responses in authenticated internal documents. * Enabled multi-format (PDF, image, text) and multi-language support by creating a multi-modal model, allowing the system to handle diverse enterprise document inputs effectively. * Applied robust error handling, validation, and prompt engineering to ensure reliable user experiences. * Collaborated with cross-functional teams to align AI solutions with business needs, ensuring scalable and secure deployments.

* Developed and maintained backend systems using Django Rest Framework, handling CRUD operations and integrating with internal APIs to manage network device configurations. * Executed unit and integration tests, achieving a 95% pass rate and reducing bug counts in production. * Automated the configuration of network switches, achieving 80% reduction on configuration time. * Configured and maintained CI/CD pipelines with Jenkins, shortening deployment time by 40% and ensuring seamless deployment of network configurations using Ansible.