Ai Project Manger
Current•Innovative Leadership: Championed a $100,000 grant initiative, harnessing Azure's virtual machines, MongoDB, and integrated tools. Positioned entirely within Azure's ecosystem, we crafted an AI system focused on tracking online hate speech across multimedia.•Data Compilation: From February 2023, our dedicated efforts spanned 120 channels, accumulating 1,632 meticulously transcribed videos. Averaging 1.5-2 hours each, videos were thoroughly tagged with keywords, readying them for in-depth AI BERT TOPIC modeling and analysis.•Team Dynamics: Guided a specialized team trio: a software engineer, an extremism researcher, and myself. Beyond our immediate group, I established collaborations with our organization's data scientists and IT specialists.•Technical Mastery: Proficiently decoded linguistic patterns in online hate speech, drawing parallels to offline events. Our keen detection of emerging terms offered a unique lens into the real-world implications of digital discourse.•Agile Strategies: Demonstrated adaptability by staying updated with the fluid world of online hate speech. Our methods evolved in real-time, from identifying new terms to pivoting our focus based on incoming data and platform dynamics.•Ethics & Confidentiality: Adhered to the gold standards of 'Ethically Aligned Design' for ethical data practices. I emphasized the importance of strict data acquisition protocols and unwavering commitment to data privacy standards.