Rakshitha M N

Developed an AI-driven onboarding Chatbot to automate training for new hires, providing interactive guidance on team-specific tools, workflows, and methodologies. Optimized user interaction via Chatbot, offering real-time support and managing key information for over 200 debug cases, resulting in a 60% improvement in resolving common issues. Engineered the solution using Python and integrated the PyTest framework, validating robustness with 80% code coverage.

Delivered a comprehensive presentation on GenAI solutions to stakeholders and effectively communicated benefits, receiving positive feedback. Improved organizational efficiency by 60% through the implementation of RAG architecture to provide precise query responses. Led solution rollout across Intel, applying AI algorithms and data analytics tools to boost customer satisfaction ratings.

Led the development of a CrewAI-powered multi-agent system with memory-enabled agents to automate goal-oriented newsletter content creation and distribution. Implemented specialized agents for content generation, validation, and formatting, orchestrated via an agent controller using task decomposition and goal-driven execution. Leveraged long- and short-term memory in agents to maintain editorial context, reducing preparation time by 70% and boosting content accuracy and engagement.