Competitive Programming Expert
We were tasked with designing and solving competitive programming problems in both C++ and Python
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I have hands-on experience in AI model evaluation, data annotation, and training data pipeline optimization, with a strong background in both computer vision and NLP applications. My work includes refining LLM prompts to reduce hallucinations, conducting qualitative assessments of AI-generated outputs, and developing multi-model pipelines for medical image landmarking and classification. I am skilled in Python, PyTorch, TensorFlow, Scikit-learn, and have deployed microservices to automate data workflows, ensuring reliability and consistency in labeled datasets. My projects span domains like finance, healthcare, and trading, where I have built and validated systems that rely on high-quality, well-annotated data for robust model performance.
We were tasked with designing and solving competitive programming problems in both C++ and Python
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