Expert Mathematics AI Trainer

Contributing to AI chat assistant project leveraging AI agents, primarily optimizing prompts for diverse use cases to build a smart, requirement-driven assistant.

Actively supporting UI/UX and dashboard workflows through rigorous testing and logical feedback, while also performing end-to-end testing before finalization.

Implementing multimodal summarization, metadata extraction, and contextual hyperlink extraction to enhance assistant capabilities.

Analyzing and labeling various aspects of mathematical images and prompts to ensure precise categorizations, contextual understanding, and alignment with problem-solving requirements.

Reviewing and assessing GPT’s multiple AI-generated responses for accuracy, coherence, and relevance, providing comprehensive feedback to enhance the model’s performance and mathematical reasoning capabilities.

Reviewing and verifying the work of other team members, ensuring the accuracy and correctness of their labeling, answer, and response evaluations, while providing constructive feedback to address any discrepancies.

Explored AI/ML applications in medical imaging and healthcare, improving diagnosis for cancer detection, cardiovascular classification, diabetes prediction, and integrating AI with radiology to address medical issues.

Learned Python packages like Pydicom and PyRadiomics for medical data analysis, applied deep learning for segmentation and classification, and explored TinyML for edge-device diagnostics.

Recognized the importance of bridging the gap between medical and AI professionals to ensure reliable, explainable, and trustworthy ML models, while assessing the potential and risks of large language models in medical informatics.

Acquired hands-on experience with a wide range of machine learning and deep learning algorithms, architectures, and their applications, while mastering the underlying mathematics and statistics.

Gained in-depth knowledge of generative AI and large language models, including their research advancements and diverse field applications.

Ranked joint 4th in the Winter School of Deep Learning course assessment and earned the Certificate of Distinction.