Daniel Mahler
Staff Solutions Architect at D-Wave
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolDaniel Mahler is a Staff Solutions Architect and AI specialist in Austin with over 15 years creating production-grade machine learning, NLP, recommendation and search systems across tech and insurance sectors. He blends deep research skills (automated deduction, constraint solving, program transformation, formal ontologies) with pragmatic engineering in Scala, Spark, Python and ElasticSearch to move novel algorithms into deployed products. At Google and Bazaarvoice he shipped ranking and moderation systems that measurably improved precision and saved millions, and more recently he has been applying hybrid quantum algorithms to industrial optimization at D-Wave. Comfortable mentoring and defining AI strategy, he also builds weakly supervised and unsupervised pipelines for extracting structure from text and has a long track record of prototyping cross-domain matching and summarization tools. Unusually for someone in applied ML, he maintains a functional programming and formal methods toolkit (Lisp, theorem provers) that informs robust system designs and language-model driven search optimizations.
11 years of coding experience
26 years of employment as a software developer
La Trobe University
English, Czech
Stackoverflow
7,883reputation
941kreached
33answers
100questions
csv
top-5%
schema
top-5%
Github Skills (200)
gbm10
dataflow10
portable10
api10
neural-network10
data-science10
filesystem10
hyperparameters10
boosting10
deep-neural-networks10
notebook10
python10
optuna10
ml10
scalable10
Programming languages (14)
Github contributions (5)
mhlr/dimod
Sep 2021 - Feb 2023
A shared API for QUBO/Ising samplers.
Contributions:6 PRs, 59 pushes, 9 branches in 1 year 5 months
apisamplersquboising
mhlr/awesome-jax
Dec 2020 - Dec 2022
Contributions:27 commits, 26 pushes, 1 branch in 1 year 11 months
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