Sweta Singh

Technically proficient IT professional with over 6+ years of experience, specializing as a Generative AI Engineer with 2.5+ years in AI/ML, NLP, and Large Language Models (LLMs). Expertise includes Retrieval-Augmented Generation (RAG), LangChain, Hugging Face, OpenAI, and Llama 2 for enterprise AI solutions. Possesses a strong background in Python, PyTorch, TensorFlow, FastAPI, and Azure AI for building scalable AI applications.

Proven experience in fine-tuning LLMs, vector databases (FAISS, Pinecone), and prompt engineering. Full-stack developer skilled in React and cloud deployment (Azure, Kubernetes, Docker).

Software Engineer (AI/GenAI Specialist) - Coforge - Noida

(2021-03)

• Spearheaded the development of a Generative AI-based RAG (Retrieval-Augmented Generation) chatbot for policy quote management, significantly enhancing response speed, accuracy, and contextual awareness to improve customer and partner interactions.
• Engineered LangChain agents to orchestrate complex tasks, including client-specific data retrieval, advanced query processing, enterprise system integration, and personalized response generation using LLMs (OpenAI).
• Integrated RAG pipelines with Elasticsearch to enable semantic search across quote histories, product catalogs, and client records, ensuring highly relevant and up-to-date information delivery.
• Developed scalable, production-ready chatbot services utilizing Python, FastAPI, Azure, LangChain, Postgres, Kubernetes, and Jenkins.
• Implemented custom tools and sophisticated prompt chains within LangChain agents to manage intricate quoting logic, data retrieval, and knowledge grounding from diverse sources.
• Streamlined the quoting process by automating manual lookups and calculations, resulting in reduced turnaround times and an improved user experience.
• Led the creation of a cutting-edge healthcare chatbot designed to meet the specific needs of physicians, leveraging Python, FastAPI, and Azure.
• Utilized LLMs, LangChain, and advanced NLP techniques to develop an intelligent conversational agent that empowers physicians with a user-friendly tool, enhancing efficiency and patient outcomes.
• Collaborated closely with healthcare experts to iteratively refine the chatbot, ensuring a seamless and effective experience for medical professionals.
• Built RAG-based AI solutions, including a document Q&A system using LangChain and Llama 2, which improved search accuracy by 40%.
• Integrated the FAISS vector database for semantic search, achieving a 30% reduction in response time.
• Deployed Azure OpenAI models to facilitate scalable enterprise AI applications.
• Automated CI/CD pipelines using GitHub Actions for efficient AI model deployment.
• Managed Kubernetes (AKS) clusters to ensure high-availability for AI services.

Software Engineer - Lelogix Software - Noida

(2018-11 - 2020-09)

• Developed web applications utilizing ASP.NET Core, MVC, React, and Python.
• Deployed solutions on Azure, leading to improved system efficiency.

M.Tech +B.Tech - Computer Science - Amity University (2016 - 2020-09)