Pranav Shinde

• End-to-end development of a new product component, from UX design and prototyping to implementation, testing, and production deployment.
• Integrated front-end components with backend databases and APIs, ensuring accurate data flow, state management, and seamless user interactions.
• Conducted functional, usability, and cross-browser testing to identify issues, improve reliability, and ensure production readiness before release.
• Collaborated cross-functionally with product, design, and engineering teams to iterate on requirements, validate solutions, and ship production-ready features.

• Co-authored an ACL ARR paper introducing a novel token pooling mechanism for enhancing the adversarial robustness of BERT-based text classification models.
• Designed and evaluated deep learning experiments for NLP, analyzing model performance under adversarial settings using Python and PyTorch.
• Assisted the Dean in interdisciplinary AI research through experimental analysis, literature synthesis, and publication development.

• Led the product redesign strategy by developing a rebranding pitch deck aligned with business goals and global market positioning.
• Analyzed operator workflows, machine features, and user requirements for industrial software.
• Collaborated with cross-functional teams to transform complex manufacturing workflows into intuitive digital product experiences.

• Drove end-to-end UX research using mixed qualitative methods to uncover user needs, validate assumptions, and influence product direction.
• Synthesized complex research data into strategic insights through personas, journey maps, and competitive analysis, enabling evidence-based design decisions.
• Collaborated with designers, developers, and business stakeholders to convert research findings into scalable, user-centered product experiences.