Surendra Karnatapu

About Surendra Karnatapu

As an Inspirational Visionary AI Solutions Design Architect with over 20 years of experience in Artificial Intelligence Solutions Development, I excel at driving innovation and leadership in IT. With expertise in developing advanced cybersecurity ML algorithms, Generative AI models, Agentic AI and NLP Solutions, I create cutting-edge solutions that automate processes and enhance infrastructure. Adept in AWS and Azure platforms, I deploy applications on GPU to streamline operational efficiency and drive business growth.Throughout my tenure as a Senior Machine Learning Architect, I\'ve successfully integrated statistical, probabilistic and generative AI models to detect anomalies and predict threats, conversational AI/Chatbot, Summarization, Letter generation, while partnering with clients to mine valuable patterns from complex data. My focus on actionable insights has enabled our organization enable through cutting-edge AI solutions. Now, I\'m seeking an IT leadership role where I can leverage my technical and systems architect skills to drive innovation in large, complex organizations.

Experience

1. Sr Machine Learning Architect (Aws and Azure Certified Solution Architect)

   American Express

   Jul 2019 — Present · Phoenix, AZ, US

   As a seasoned ML engineer, I spearheaded the development of an AI-driven Contract Management System leveraging Large Language Models (LLM) for AMEX, analyzing vast information sets to identify gaps. In my role, I developed critical cyber security algorithms/models using probabilistic and statistical models to predict anomalies and detect security threats, while also researching and deploying Generative AI-focused LLMs on GPU. As a data scientist, I analyzed data, worked with clients to discover valuable patterns, created regression models, and designed architectures for continuous integration and deployment of data science models across AMEX applications, ensuring operational usage and setting architecture standards for the team.• Accomplishment 1: Designed and architected AI-powered applications using Large Language Models (LLMs), including- Chat bot application on GPU as API - Retrieval Augmented Generation (RAG) application with Vector databases and LLM - Text-Summarization, Letter Generation and other NLP tools• Accomplishment 2: Designed a fully autonomous contract application utilizing LlamaIndex (Agentic AI), eliminating the need for human intervention in contract processing and enabling end-to-end automation• Accomplishment 3: Built an Online Informational Retrieval System engine on a huge collection of documents• Accomplishment 4: Created an AI framework utility that enables ready-to-consume LLMs as judges for validation, with capabilities including query decomposition, tokenizing, vector embeddings, and summarization• Accomplishment 5: Designed a broadcasting model using clustering on ~150 peta bytes data, leveraging Databricks/Pyspark• Accomplishment 6: Designed an enterprise file content management framework providing reusable, modular components that integrate seamlessly• Accomplishment 7: Deployed applications using GitHub Actions and pushed them onto Azure Container Registry, Webhooks, WebApp etc.

Education

• Gulbarga University

  Bachelor's Degree, Computer Science

  1997 — 2001

• University of Louisiana at Lafayette

  Master's Degree, Computer Science

  2003 — 2004

Skills

• Relationship Building
• Agile Methodologies
• Technology Leadership
• Soap
• Java Enterprise Edition
• Hive
• Data Modeling
• Artificial Intelligence
• Apache Spark
• Cross-Functional Team
• System Architecture
• Object Oriented Design
• Rest
• Artificial Neural Networks
• Pandas
• Data Analytics
• Data Analysis
• Matlab
• Numpy
• Gnu Octave
• Cross-Functional Team Leadership
• Python
• Uml
• Django
• Jboss Application Server
• Business Case Life Cycle
• Websphere
• Matplotlib
• Sqoop
• Executive Goals
• Soa
• Relationship B
• Jsf
• Innovative
• Machine Learning
• Scikit-Learn
• Hbase
• Web Services
• Application Architecture
• Patented Designs