Gen AI Engineer
Generative AI Engineer with over 1 year of experience in crafting intelligent applications using Python, focusing on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. Skilled in developing AI-powered solutions tailored for investment banking, I excel in financial document analysis and semantic search, significantly enhancing business efficiency. My proficiency encompasses building scalable architectures, implementing vector databases like FAISS, and leveraging OpenAI APIs to produce production-ready solutions. With a strong foundation in Natural Language Processing and a passion for innovative AI applications, I am dedicated to driving advancements in the field and delivering impactful results through advanced machine learning methodologies.
Designed and developed enterprise-level AI solutions powered by Large Language Models (LLMs). - Built intelligent applications using Python and Prompt Engineering to solve complex business problems. - Contributed to AI solutions in investment banking, focusing on financial document intelligence and research automation. - Developed AI-powered assistants for processing large volumes of unstructured financial data. - Implemented Retrieval-Augmented Generation (RAG) architectures for context-aware insights and summaries. - Built semantic search systems using embeddings and vector databases like FAISS. - Developed scalable document ingestion pipelines for efficient information retrieval. - Worked with OpenAI APIs and transformer-based models to create production-ready AI solutions.
