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AWS SageMaker
Labelbox
Scale AI
Computer Code Programming
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TextExtensive experience has been gained in the field of prompt engineering, with a strong focus on crafting precise and effective prompts that optimize AI model performance. Expertise has been developed in writing, refining, and evaluating both prompts and model responses, allowing for a deep understanding of how to guide AI systems toward delivering accurate and contextually relevant outputs. In addition to prompt engineering, skills have been honed in labeling and cleansing datasets, ensuring that the data used in model training is of the highest quality. This meticulous approach to data preparation has been applied in work with leading technology companies such as Google, Meta, and OpenAI. Involvement in training state-of-the-art models for these industry giants has been a significant aspect of my career, contributing to the advancement of cutting-edge AI technologies. Through this work, a reputation has been established for delivering high-quality results, with contributions recognized in the AI and machine learning communities as driving innovation and excellence in every project undertaken.
Evaluating two different model responses based on the user prompt. Regarding different aspects such as, correctness, factuality, clarity, helpfulness.
Evaluate the model responses based on the user prompt of querying APIs like google_flights, google_hotels, google_maps, etc..
Creating prompts related to code, and observe responses and rate them based on fulfillment regarding the prompt.
Flamingo project was a project I worked on at Remotasks, writing complex coding prompts is several languages like (JavaScript, TypeScript, Python, and Java). Evaluating the model responses and criticize them. Write evidence based justifications where the model has flaws and misses and what is the better approach of answering the user prompt.
Bachelor in Software Engineering, Computer Science
AI Prompt Engineer
