Hans V.
Sr. Machine Learning Engineer at Lundero & Asociados SAC- Claim this Profile
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Español Native or bilingual proficiency
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Inglés Full professional proficiency
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Alemán Limited working proficiency
Topline Score
Bio
Credentials
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Computer Science and Programming Using Python
MITx on edXAug, 2018- Oct, 2024 -
TensorFlow Developer Certificate
TensorFlow Certificate ProgramSep, 2021- Oct, 2024 -
Gestión de Proyectos de Desarrollo
edX
Experience
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Sr. Machine Learning Engineer
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Mar 2020 - Present
I developed a machine learning model capable of classify the Central American harmony tariff code from images captured by phones. The model was implemented for the Salvadorian Government Custom Office and it had an accuracy of 90%. I also developed a deep learning model for anomaly detection with TensorFlow. The model was capable of detecting daily suspicious transactions in the current import/export transactions for the Salvadorian Government Custom Office. I developed a machine learning model capable of classify the Central American harmony tariff code from images captured by phones. The model was implemented for the Salvadorian Government Custom Office and it had an accuracy of 90%. I also developed a deep learning model for anomaly detection with TensorFlow. The model was capable of detecting daily suspicious transactions in the current import/export transactions for the Salvadorian Government Custom Office.
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Gestión y Sistemas
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Spain
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Python Developer / AI Developer
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Oct 2018 - Mar 2020
I developed an unstructured text extraction service from PDF image files with a 95% of accuracy using Cognitive Services and Machine Learning. I developed a hand-written numeric characters recognizer from marketing cupons with a 80% of accuracy using Tensorflow and OpenCV. I also developed a web-based component for face-tracking and gesture-recognition in order to asure verified onboarding of users using TensorflowJS. I developed an unstructured text extraction service from PDF image files with a 95% of accuracy using Cognitive Services and Machine Learning. I developed a hand-written numeric characters recognizer from marketing cupons with a 80% of accuracy using Tensorflow and OpenCV. I also developed a web-based component for face-tracking and gesture-recognition in order to asure verified onboarding of users using TensorflowJS.
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Pagos Digitales Peruanos
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Peru
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Financial Services
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1 - 100 Employee
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IT Analyst
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Feb 2016 - Oct 2018
As a member of IT and Operations Team, i implemented dashboards with weekly and montly metrics of the BIM e-wallet usage. I also developed high volume data components for read, storage and process in Python and Java. I also developed integration compoents with third party applications of finance and telecomunication companies. As a member of IT and Operations Team, i implemented dashboards with weekly and montly metrics of the BIM e-wallet usage. I also developed high volume data components for read, storage and process in Python and Java. I also developed integration compoents with third party applications of finance and telecomunication companies.
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Instituto Andino de Sistemas IAS
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Peru
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Research Services
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1 - 100 Employee
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Research Assistant
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Sep 2014 - Sep 2015
We developed a predictive and dinamic model using the the Soft System Dynamics Methodology in the natural gas problematic. The model was build for the goverment regulator OSINERGMIN. We developed a predictive and dinamic model using the the Soft System Dynamics Methodology in the natural gas problematic. The model was build for the goverment regulator OSINERGMIN.
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Education
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2008 - 2015
Universidad Nacional de Ingeniería
Grado en Ingeniería, Ingeniería de sistemas -
2020 - 2020
MIT Professional Education
Machine Learning: Technology for Decision Making
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