Avinashdev Garudapalli

Background

About Avinashdev Garudapalli

I am Avinash, an Associate Product Manager with expertise in AI/GenAI, Conversational AI Platform, and UI/UX design. I developed the foundational architecture for a Voice BOT platform and led the addition of multiple features, focusing on scalability and user-centric workflows. Voice AI & Generative AI Leadership Designed and implemented a modular broadcast workflow with Text-to-Speech (TTS), Speech-to-Text (STT), CSV data imports, scheduled retry logic, and dynamic GenAI billing for high-volume voice campaigns. Defined Role-Based Access Control (RBAC) parameters (read/manage/delete permissions, hierarchical privilege models, multi-role assignment) to secure AI functionality across the platform. Integrated Outbound Dialer APIs (Click-to-Dial, lead upload automation, call data record synchronization) to centralize campaign operations and improve call completion rates. UI/UX & Design-Thinking Created wireframes and high-fidelity prototypes (Figma) for Voice BOT flows, applying user research insights to optimize usability and front-end interaction patterns. Led comprehensive redesigns of web and mobile interfaces (internal portals and external user dashboards), improving navigation structure, information hierarchy, and micro-interaction consistency resulting in a 35% increase in user engagement. Developed AI-driven chatbot interfaces for healthcare clients, aligning design systems with brand guidelines and enhancing patient engagement metrics by 40%. Analytics & Metrics-Driven Execution Defined and monitored key performance indicators (KPIs): Average Call Duration, Call Drop Rate, Flow Completion Rate, Sentiment Analysis, and conversion bottleneck identification. Built real-time analytics dashboards for campaign performance tracking, enabling data-informed decision making that drove double-digit conversion rate improvements. Cross-Functional Leadership & Agile Delivery Coordinated cross-disciplinary teams (Engineering, Design, QA) on over five AI and SaaS projects, achieving a 70% on-time delivery rate under aggressive timelines. Managed relationships with multiple vendors and seven+ stakeholders to align product roadmaps, produce comprehensive documentation (PRDs, user stories), and ensure compliance with security standards. Utilized JIRA and Confluence for sprint planning, backlog prioritization, and progress reporting streamlining Agile ceremonies and maintaining transparent project status for all stakeholders. If you are interested in AI-driven customer engagement, intuitive UX solutions, or Agile innovation, let’s connect.