Kaarthik Senthil Kumar

About Kaarthik Senthil Kumar

AI Engineer specializing in Machine learning, Generative AI, and data quality automation, with a strong background in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-driven anomaly detection. My work focuses on building scalable AI solutions that enhance data reliability, automation, and enterprise AI applications.Key achievements include->Developing a data quality framework to monitor and improve the integrity of data pipelines, ensuring traceability and reliability.Implementing Isolation Forest and LLM-based models to optimize validation processes and automate anomaly detection->Designing an LLM prompt library framework, streamlining generative AI workflows for enhanced scalability and efficiency->Building a RAG-powered chatbot for intelligent document analysis, leveraging Chroma-DB, WizardLM, and PgVector to enhance contextual retrieval->Optimizing OCR accuracy using GANs, significantly improving document processing efficiency.I hold a Master of Science in Computer Science from Stevens Institute of Technology, with a GPA of 3.94/4. My academic background, including courses such as Mathematical Foundations of Machine Learning, Knowledge Discovery and Data Mining, and Data Structures & Algorithms, has provided me with a solid theoretical foundation that I apply to solving real-world AI challenges.Beyond technical expertise, I have:Co-authored a research paper on computer vision, analyzing state-of-the-art SR GAN models, published on arXiv.Participated in a Global Generative AI Hackathon, showcasing innovative AI-driven solutions.Passionate about advancing AI applications in enterprise solutions, I thrive on exploring cutting-edge AI techniques, optimizing LLMs, and driving innovation in data-driven automation. Let’s connect to collaborate on AI, machine learning, and generative AI.

Experience

1. Gen Ai Data Solution Engineer

   Synechron

   Jan 2025 — Present

   Client - Mizuho Americas• Led end-to-end development of an AI based ETL SQL Code Analyzer tool; enabled business analysts to analyze complex 3k+ lines of 400+ stored procedures• Designed asynchronous backend with Azure Functions and Azure services to get lineage across SORs for 5 HRR regulatory reporting• Developed automation scripts and workflows to load Snowflake data elements into Securiti.ai’s SDI module for efficient sensitive data discovery and classification.• Partnered with Securiti.ai and Snowflake teams to ingest metadata from Snowflake, Axiom, and interim catalogs into the Enterprise Data Catalog; captured lineage and imported into Securiti.ai to meet EDMO regulatory deadlines.

Education

• Rajalakshmi Engineering College

  BE - Bachelor of Engineering, Computer Science

  2018 — 2022

• Stevens Institute of Technology

  Master of Science - MS, Computer Science