Thrishul D

About Thrishul D

AI/ML Engineer at State Street with a strong foundation in data engineering and a growing focus on building production-ready Generative AI solutions.Since joining State Street in 2023, I have been working on designing and developing LLM-powered applications, leveraging technologies such as LangChain, OpenAI APIs, and cloud platforms like Microsoft Azure. My work primarily involves building scalable AI systems, implementing Retrieval-Augmented Generation (RAG) pipelines, and defining evaluation metrics to measure model performance and response quality.With a background in data engineering, I bring strong expertise in working with large-scale data using Oracle Database and Snowflake. This allows me to effectively bridge the gap between data and AI, enabling robust and efficient AI-driven solutions.I hold the Microsoft Certified: Azure Fundamentals certification and continuously invest time in learning Machine Learning, Deep Learning, and advanced AI concepts to expand my capabilities as an AI/ML Engineer.I graduated from Bangalore Institute of Technology (2019–2023), where I built a strong foundation in computer science and software development.I am passionate about staying at the forefront of AI innovation, exploring advancements in Generative AI, LLMs, and Machine Learning, and applying them to solve real-world problems.

Experience

1. Senior Associate

   State Street

   Mar 2026 — Present · Bengaluru, IN

   AI/ML Engineer State Street - Building production-ready Generative AI and LLM-based applications to solve real-world business problems - Designing end-to-end RAG architectures using LangChain, embeddings, and vector databases - Leveraging OpenAI models for intelligent document processing, automation, and conversational AI solutions - Defining and implementing AI evaluation frameworks to measure response quality, relevance, and performance - Processing and transforming large-scale data using Python, SQL, Snowflake, and Oracle - Deploying and managing AI solutions on Microsoft Azure with a focus on scalability and efficiency - Integrating AI systems with backend services and APIs for seamless enterprise adoption - Applying core machine learning principles including data preprocessing, feature engineering, and model evaluation - Staying up-to-date with emerging trends in LLMs, Generative AI, and Machine Learning

Education

• Bangalore Institute of Technology

  Bachelor of Engineering, Computer Science