Isaac Bribiesca
NLP CV Engineer at Definely
Greater Mexico City, State of Mexico
Summary
👤
Senior🎓
Top SchoolIsaac Bribiesca is an NLP and computer vision engineer with 10 years of experience building production ML systems, currently powering legal-tech AI products at Definely. He holds a MSc in Computational Mathematics and published research at NAACL, blending rigorous research skills with hands-on data engineering, model fine-tuning, and microservices development. Isaac has delivered substantial latency and throughput improvements in chatbot platforms by optimizing transformer and T5/BERT models and implementing MLOps pipelines (MLflow, DVC, TorchServe). He has applied ML to conservation and social-good projects—training CV models for species ID and contributing to hate-speech and psychological-violence detection through Omdena—showing an uncommon mix of domain versatility and customer-facing product experience. Based in Greater Mexico City, he thrives at the intersection of research, software engineering, and data engineering, and enjoys translating complex ML research into reliable production services.
10 years of coding experience
3 years of employment as a software developer
MSc Computational Mathematics, Machine Learning, Deep Learning, NLP, 9.5/10, MSc Computational Mathematics, Machine Learning, Deep Learning, NLP, 9.5/10 at Centro de Investigación en Matemáticas A.C.Universidad Nacional Autónoma de México (UNAM)Micromaster, Probability and Data Science, MicroMasters Credential certificate, Micromaster, Probability and Data Science, MicroMasters Credential certificate at MITx on edX
English, Spanish
Github Skills (52)
similarity-search10
multimodal-deep-learning10
matching10
recommender-system10
image-search9
neural-search9
vector-search9
search-engine9
qdrant9
machine-learning9
approximate-nearest-neighbor-search9
adapter9
vector9
nearest-neighbor-search9
cosine-similarity9
Programming languages (6)
Github contributions (5)
IsaacRodgz/multimodal-transformers-movies
Aug 2020 - Aug 2022
Experiments with multimodal deep learning models based on transformers
Contributions:88 commits, 53 pushes, 1 branch in 2 years 1 month
multimodal-deep-learningnlppytorchtransformersdeep-learning
IsaacRodgz/Multimodal-Adapters
Nov 2020 - Aug 2022
Adapter modules with support for multimodal fusion of information (text, video, audio, etc.) using pre-trained BERT base model
Contributions:34 commits, 8 pushes in 1 year 9 months
multimodal-deep-learningpytorchtransformersaudio-videobert
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