Suman Garrepalli

About Suman Garrepalli

Transforming Financial Services through AI Innovation As a seasoned technology…

Experience

1. Director of Machine Learning

   Capital One

   Jul 2022 — Present

   Responsible for defining tech strategy, leading the design, and ensuring successful delivery of Commercialization of ML Platforms. Trusted to present Architecture and Design walkthroughs to the President, Executive, and Senior Vice Presidents of the organization. Collaborates closely with Product Senior Leadership Team (SLT) to drive the vision for a multi-tenant SaaS offering in the Machine Learning domain. This offering includes a wide range of capabilities such as Data connectors and a Workflow Orchestration Framework, enabling users to perform anomaly detection in both batch and streaming modes. Key Responsibilities- Executive Tech Strategy: Provides strategic guidance and direction, aligning technology initiatives with organizational goals and objectives- Product and Architecture Roadmap: Drives the development and execution of product and architecture roadmaps, ensuring alignment with market trends and customer requirements- Feasibility Study of new Vendor Tools: Evaluates and assesses the feasibility and suitability of new vendor tools and technologies, making informed recommendations for adoption- Tech Stakeholder for Customer Interviews: Represents the technology perspective in customer interviews and engagements, gathering insights and feedback to inform product and platform enhancements- Financial Industry-related Audits: Oversees technology compliance with industry-specific regulations and standards in the financial sector, ensuring adherence to rigorous security and data privacy requirements- Cyber Compliance: Implements robust cybersecurity measures, including risk assessment, incident response planning, and proactive threat monitoring, to safeguard sensitive data and systems- Model Governance Process: Establishes and maintains a comprehensive model governance process, ensuring the integrity, explainability, and fairness of machine learning models deployed in production.

Skills

• Spring
• Process Management
• Web Services
• Ejb
• Business Process Design
• Spring Framework
• Eai
• Java
• Software Development
• Oracle
• Esb
• Requirements Analysis
• Xml
• Integration
• Service-Oriented Architecture (Soa)
• Spring Webflow
• Sql
• Soa
• Websphere
• Hibernate
• Java Message Service (Jms)
• Java Enterprise Edition
• Business Analysis
• Websphere Process Server
• Websphere Integration Developer
• Soap
• Db2
• Software Project Management
• Ant
• Ooad
• Sdlc
• Rational Software Architect
• Servlets
• Jsp
• Websphere Application Server
• Jms
• Struts
• Weblogic