Muhammad Talha Khan

Leading company-wide AI adoption, designing and implementing Generative AI Agents and a Voice-Based Feedback Agent to automate content creation, compliance audits, and sentiment analysis, boosting productivity by 20% and feedback efficiency by 40%. Collaborated with leadership to align AI-driven workflows with EOS (Entrepreneurial Operating System) priorities, integrating AI tools into quarterly goals and presenting data-backed insights to drive continuous improvement.

Designed and deployed automated solutions, including an ETL pipeline and ML models, to streamline reporting and auto loan processing, cutting manual efforts by 90% and reducing approval times by 50%. Built a Python-based merchant categorization system, improving accuracy by 80%, and developed an offline HR chatbot that slashed query response times by 200% while boosting employee satisfaction by 41%. These innovations enhanced operational efficiency, data-driven decision-making, and customer and employee experiences.

Pioneered AI-driven solutions, including a PDF-based Q&A pipeline that cut retrieval time by 50% and cloud-optimized Jupyter Notebooks that reduced deployment time by 40%, while creating user-friendly templates that boosted accessibility by 60%. Advocated for AI innovation as a keynote speaker, debating prompt engineering as a science vs. art, and developed open-source resources that increased user engagement by 30%. These contributions enhanced productivity, usability, and thought leadership in AI adoption.

Designed and deployed ChatGPT-powered chatbots with multi-source knowledge integration, cutting query resolution time by 40% while leveraging AWS for scalable training and deployment, boosting user engagement by 35%. Additionally, developed a 5G Networks knowledge repository as a subject matter expert, enhancing team efficiency by 25% through streamlined infrastructure insights.