Senior Engineer
CurrentSmartQA SystemI developed a SmartQA system that harnesses the power of Langchain, Milvus indexing, and a Large Language Model (LLM) to enhance information retrieval and decision-making. Key features include:Natural Language Processing: Utilizes Langchain to process user queries efficiently and effectively.Efficient Similarity Search: Employs Faiss indexing for rapid and accurate similarity searches, ensuring users find relevant information quickly.Offline Functionality: Designed as a compact web application that operates fully offline, making it accessible in low-connectivity environments.Seamless Knowledge Access: Empowers users to query and retrieve information efficiently, facilitating informed decision-making processes.SmartHRI also led initiatives in SmartHR focused on analyzing company goal-setting frameworks to assess their SMARTNESS (Specific, Measurable, Achievable, Relevant, Time-bound) percentage. Utilizing a trained open-source machine learning model, we aim to improve goal efficiency and align organizational development strategies.Automated Technical Proposals DevelopmentIn addition, I worked on automating the development of technical proposals, streamlining the process to enhance productivity and ensure consistent quality across deliverables.