Mirza Shaheen Iqubal

• Developed a secure, offline RAG chatbot using pre-trained and local LLMs with FAISS, enabling up to 500 employees to access company knowledge faster while maintaining full data privacy. • Optimized preprocessing and document chunking workflows, reducing system response time and improving the relevance of retrieved answers. • Applied advanced text embedding methods, increasing search accuracy and enhancing user satisfaction in pilot deployments.

Built financial data models and schemas, integrating multiple trusted sources into SQL pipelines and delivering analytics via Power BI and Excel dashboards, reducing report preparation time and enabling faster, accurate leadership decisions. • Optimized high-volume database servers with strict security controls, reduce query times, minimize downtime. • Automated workflows using Power Automate, Power Apps, and SharePoint, eliminating repetitive manual tasks and improving cross-department efficiency

Applied deep learning with Python and TensorFlow/Keras, generating high-accuracy results that directly contributed to peer-reviewed publications. Managed data collection, cleaning, and analysis for large datasets, improving research accuracy and producing insights that shaped project outcomes. Streamlined reporting and statistical analysis processes, reducing preparation time and enabling more timely academic presentations.