Vinod Payyapilly

• Defined and lead the division's AI and GenAI strategy, establishing governance frameworks, capability mapping, and adoption guidelines used across multiple business and technology teams to track ROI and operational efficiency • Built enterprise semantic search and NLP capabilities using vector databases (ANNOY), TensorFlow/Google USE for multilingual search, intent classification, and user behavior analytics • Rolled out GenAI-based automation for incident and change management, improving process efficiency through prompt engineering and iterative refinement • Evaluated ChatGPT and Cognigy platforms, defined chatbot strategy, and deployed IT support chatbots—reducing first-level call handling time by 10% • Guided remote teams in establishing AWS SageMaker-based MLOps platform for model training and evaluation pipelines • Advanced proof-of-concepts using agentic AI orchestration (ServiceNow, Google ADK, Gemini) to enhance platform development and support management • Conducted structured pilot evaluations through UX collaboration, user surveys, and KPI frameworks to refine model behavior and inform production rollout

Architecture & Platforms: • Unified architectural approach across OT (industrial/factory systems), Customer Service Management, and IT—creating an integrated platform foundation emphasizing reusable processes and seamless data interchange • Built future-state architecture blueprints aligning capabilities across cloud, hybrid, and on-prem environments • Established enterprise architecture governance, steered Architecture Review Boards, and guided senior architects—improving review cycle times from 3 weeks to 4-5 days • Rolled out cloud-native Kubernetes platforms supporting AI services, data pipelines, microservices, CI/CD automation, and integrated monitoring • Modernized API and integration architectures with OAuth/token standards and secure access models for hybrid environments • Engineered data-sync pipelines on enterprise data lake (GoldenGate) for analytics dashboards (PowerBI, Celonis) Leadership & Governance: • Established and moderated the division's executive Decision Board with comprehensive playbooks that transformed unstructured decision-making into a transparent, standardized process—enabling 20+ teams to achieve aligned, timely decisions • Led global cross-functional teams across 6 countries (Germany, India, Poland, US, Mexico, Brazil) through enterprise rollouts, cloud migrations, and API integrations—delivering secure, compliant platforms • Unified stakeholders through workshops, technology evaluations, and vendor selections aligned with executive strategy • Mentored architects across solution, enterprise, and data domains, establishing a lean EA operating model • Ensured security, compliance, and operational readiness through coordinated threat analysis and risk assessments

• Independently acquired and led consulting projects across multiple Bosch units, formulating outcome-based commercial proposals for complex, ambiguous scopes through extensive upfront discovery • Built remote teams and drove multi-subsidiary product efforts, rapidly mastering automotive ECU data designs and delivering a multi-stage automation toolchain that parsed C-based ECU source code into Eclipse projects and cloud-deployable packages for three Bosch divisions—reducing two days of manual work to a few hours • Architected a data lake for Sales and Marketing Analytics, integrating various SAP data sources to enable unified analytics capabilities • Led implementation and operations of a Low-Code platform, architecting and developing various tools to improve productivity across engineering teams • Led and mentored the Enterprise Application Development Team (Germany & offshore), recruited and supervised Master's thesis students • Advised the Bosch-wide working group for Open-Source, helping establish relevant processes within the organization

• Designed and implemented full-stack server architectures for multiple greenfield IoT products, including automotive connectivity and fleet management solutions • Built server and firmware components for data-intensive commercial IoT products, integrating physical systems with cloud infrastructure for logistics and agri-tech applications • Conceptualized and delivered an IoT prototype (hardware and backend) during deputation from Bosch India (until Nov 2011), showcasing the solution at a global customer event • Analyzed requirements and developed data-centric solutions (big data, high-performance) for both automotive and enterprise IT applications • Co-authored a white paper on maintaining a proprietary GPS navigation map platform using multi-supplier data (lanes, landmarks, objects), proposing scalable pipeline architectures

• Implemented and presented the a pilot IoT prototype(Device & Backend) for the Bosch Engineerings' global Customer Event "Keep-in-Touch 2011" • Designed as well as implemented the competence management system, for(and during) my deputation at Bosch Engineering

• Architected, built, and operated a "collaborative-built" platform deployable on customers' Oracle instances to generate advisory reports through crowd-sourced intelligence • Delivered technical solutions across multiple Oracle ERP modules, including interfaces and migrations between enterprise products • Implemented solutions (Integration, Migration, Reporting) using Oracle Forms 9i, BI Publisher, and SOA architecture

Bachelor Project: Designed and built a remotely operated robotic rover controlled via streaming video

• Grade: A (highest) for all modules: Statistical Analysis & ML, Big Data, AI & Deep Learning • Won Best Capstone Project: Built a data pipeline that extracted, parsed, cleaned, and processed large-scale e-commerce webpages to train ML models for pricing, feedback validation, and product recommendations

Master Thesis: "Generating Software Architecture Diagrams from Natural Language Text using Open-Source LLMs" • Evaluated approaches considering conversationability, context memory, prompt tuning, multimodality; implemented in Python using LangChain