Tanisha Hasan

Conducted a 150+ day independent product research study analyzing user behavior, engagement patterns, system constraints, and adoption challenges in human-centered AI systems. Designed a user identity, product pain points and personalization framework aimed at improving continuity, relevance, and trust across AI-driven interactions. Analyzed geographical usage patterns and market constraints to develop region-specific hypotheses for user acquisition, onboarding, and product adoption.

Launched a human-centric conversational AI platform from ideation to production, achieving 100+ user engagements on launch day, exceeding Chatbase’s free-tier capacity (100 msgs/week). Scaled platform capacity to 2,100+ msgs/week by coordinating directly with Chatbase’s support team, eliminating service bottlenecks and ensuring uninterrupted real access. Designed full-stack AI architecture using Next.js, OpenAI APIs and modular prompt pipelines, enabling fast customization and high system responsiveness.

Conducted real-world product testing of a conversational AI platform, identifying usability issues, interaction bottlenecks, and scalability constraints through sustained user experimentation. Communicated findings asynchronously with the platform's support team, with contributions formally acknowledged through official communication. Translated observed product behavior into structured user feedback and actionable system-level insights, focusing on conversational quality and overall user experience.