I'm Tasnimul

Data Scientist| Machine Learning Engineer| Software Engineer

I am a dedicated AI researcher and Data Scientist with expertise in Generative AI, Computer Vision, Big Data, Machine Learning, and Software Engineering. With a strong background in developing scalable, automation-driven AI systems, I specialize in harnessing AI to enhance decision-making, optimize analytics, and drive real-world innovation.

Currently, I serve as a Fully Funded Graduate Research Assistant at The University of Toledo, where my research focuses on cutting-edge applications of Generative AI, cybersecurity automation, and real-time anomaly detection. My work involves leveraging Large Language Models (LLMs), deep learning frameworks, and MLOps to create intelligent AI systems that enhance security, automate complex workflows, and optimize large-scale data analytics.

Previously, I worked as an Associate Data Scientist at iFarmer.asia, the largest Agri-FinTech company in Bangladesh. During my tenure, I developed an AI-powered real-time financial and business analytics dashboard, computer vision-based segmentation and OCR model, and Custom Knowledge-Based Bengali Language Chatbot using Generative AI. This chatbot streamlined thousands of customer inquiries, providing intelligent loan approvals, agricultural recommendations, and financial insights, significantly improving efficiency in agricultural finance and risk assessment.

My contributions to AI research have been recognized with 182+ citations, reflecting the impact of my work in advancing AI methodologies. I am passionate about bridging the gap between research and industry, pushing the boundaries of AI innovation to develop scalable, high-impact solutions that address real-world challenges.