Saritha Peddi

Background

About Saritha Peddi

I’m a Generative AI Engineer with 1 year of experience architecting and deploying LLM-powered and Retrieval-Augmented Generation (RAG) applications. Designed and implemented Copilot Studio agents for code generation, HR automation, leave management, and IT service ticketing, fully integrated with Microsoft Teams using APIs and bot frameworks. Developed conversational AI solutions with speech-to-text (STT) and text-to-speech (TTS) pipelines to enable natural language voice interactions. Built scalable AI systems for unstructured data processing, including semantic search, document embedding, and contextual summarization of PDFs, meeting transcripts, and resumes using LangChain, FAISS, and Hugging Face Transformers. Proficient in prompt engineering, fine-tuning LLMs, and designing prompt templates for optimized model outputs. Experienced with Python-based AI frameworks such as Streamlit, Gradio, and cloud AI platforms including Azure Cognitive Services and OpenAI API for production-grade deployments. Driven by a passion for automation, natural language understanding (NLU), and knowledge retrieval, I’m focused on building impactful AI solutions that improve efficiency and user experience. Open to collaborating on cutting-edge AI/ML projects.