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function getNextPrice(start=100, step=25) { | |
let currentPrice = start | |
return function() { | |
const newPrice = currentPrice | |
currentPrice = newPrice + step | |
return newPrice | |
} | |
} |
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Mark Tellez | |
Mexico City | [email protected] | GitHub | |
ML Model/Pipeline Engineer/Scientist with Experience in Agents, Text, and Voice Modeling | |
(diffusion, GANs, transformers, CNNs, deep NNs) | |
PROFESSIONAL SUMMARY | |
A Machine Learning Model/Pipeline Engineer and Scientist with nearly 30 years of software development experience. I specialize in building and deploying AI models and custom voice pipelines, with expertise in agents, text, and voice modeling using advanced techniques like diffusion models, GANs, transformers, CNNs, and deep neural networks. Known for managing high-performing teams, mentoring developers, and designing efficient CI/ML pipelines. A strong background in systems, web, desktop, and infrastructure development, with a proven ability to create monetizable solutions and work seamlessly across executive, creative, and technical teams. |
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initial audio dataset work - 3 hours - $0 | |
transcription check time - 1.5 hours (16c * 1.5) - $0.24 | |
model training time - 1 hour ($2 * 1) - $2 | |
generation prep time - 0.5 hours - $1 | |
generation time (1000 msgs) (8 secs * 1000 msgs / 4 workers (unattended) (non blocking) - 1 hour - $2 | |
generation check time (1000 messages) (20 secs to check * 2 checkers * 1000 msgs / 2 teams of 2) - 3 hours (16c * 3) - $0.48 | |
cost - $5 | |
Does not include transfer or s3 file storage or databases for simplicity and clarity |
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