Víctor Peinado

Software Engineer (AI, LLMs, RAG, Evaluations)

New York City Metropolitan Area United States
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Summary

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Senior
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Top School
Víctor Peinado is a software engineer with 13 years of experience specializing in NLP, LLMs, retrieval-augmented generation, and ML-driven evaluation for customer support products. He leads applied research and engineering at Kustomer, combining search, data engineering, and model evaluation to ship practical AI features that improve customer experience. Previously he supported large-scale NLP efforts at Google and led AI teams across startups and consultancy projects, applying deep learning to legal, banking, and telecom domains. An experienced instructor and part-time PhD candidate in computational linguistics, he brings an uncommon blend of academic rigor and product-focused delivery. Based in the New York metro area, Víctor is a self-described “language geek” who translates linguistic insight into robust, production-ready ML systems.
code13 years of coding experience
job13 years of employment as a software developer
bookPhD Candidate (All but Thesis), Computer Science, PhD Candidate (All but Thesis), Computer Science at Universidad Nacional de Educación a Distancia - U.N.E.D.
bookBachelor's and Master's degree, Computational Linguistics, Bachelor's and Master's degree, Computational Linguistics at Universidad Complutense de Madrid
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Stackoverflow

Stats
1reputation
60reached
0answers
1question
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Github Skills (80)

generative10
multimodal10
screeps10
text-mining10
pipeline9
generative-ai9
grpc9
neural-search9
fastapi9
python9
deep-learning9
leaderboard9
jaeger9
opentelemetry9
machine-learning9

Programming languages (8)

C++CSSCJavaScriptGoHTMLJupyter NotebookPython

Github contributions (5)

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vitojph/vitojph.github.io

Jan 2015 - Apr 2022

My personal pages
Contributions:2 PRs, 39 pushes, 1 branch in 7 years 4 months
vitojph/kschool-nlp

Feb 2017 - Jul 2017

Contributions:39 commits, 2 PRs, 25 pushes in 5 months
nlppythonsciencedata-sciencemaster
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Víctor Peinado - Software Engineer (AI, LLMs, RAG, Evaluations)