Daniel Jalova
Software Engineer at Google
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDaniel Jalova is a software engineer based in San Francisco with 11 years of engineering experience spanning full-stack development, machine learning, and open-source contributions. He currently builds scalable systems at Google after a multi-year tenure at IBM where he shipped containerized deep-learning microservices, open-source model and data assets, and a high-performance Spark object-store connector that dramatically improved transfer times. Comfortable from ETL pipelines and recommendation engines to web apps showcasing research models, he pairs practical production experience with a research-friendly mindset and a history of mentoring junior engineers. Known for turning research prototypes into reusable, containerized services, he seeks new technologies to deliver elegant, high-impact solutions.
11 years of coding experience
6 years of employment as a software developer
Johns Hopkins University
Github Skills (134)
apache-spark10
python10
hadoop10
tensorflow-model10
r10
tornado10
big-data10
semantics10
localize10
scale10
sql10
data-processing10
spark10
apache10
analytics10
Programming languages (8)
Github contributions (5)
IBM/MAX-Image-Caption-Generator-Web-App
Apr 2018 - Apr 2020
Create a web app to interact with machine learning generated image captions
Contributions:9 commits, 3 PRs, 26 comments in 1 year 11 months
pythoncodaitdeep-learningweb-appmachine-learning
CODAIT/fae-tfjs
May 2019 - Aug 2019
Facial Age estimator demo
Contributions:14 commits, 8 PRs, 4 pushes in 3 months
facialageage-estimatorestimator
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