Raphael Jafri
Founder at Stealth Startup
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolRaphael Jafri is a founder and AI leader based in New York who specializes in taking computer vision and large language model projects from prototype to production at enterprise scale. Over four years in ML roles, he rose through Labelbox from support engineer to Head of Customer AI Solutions, managing professional services and technical account teams that co-engineer data-centric ML pipelines for top customers. He combines hands-on full-stack experience (Swift, React, Node.js, Go) with applied cryptography, model training and inference—skills proven while founding a stealth mobile startup and building open-source data connectors at Labelbox. Comfortable bridging sales, product and engineering, he is known for pragmatic solutions across use cases from content moderation to generative AI and robotics (yes, he’s worked on looking for aliens in space). His background in consulting and quantitative roles gives him a rare mix of customer-facing strategy and deep technical execution.
4 years of coding experience
4 years of employment as a software developer
Bachelor of Business Administration - BBA, Business Analytics & Economics, Bachelor of Business Administration - BBA, Business Analytics & Economics at University of Notre Dame - Mendoza College of Business
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (37)
prepare10
python-client10
sdk10
imagenet9
data-validation9
labeling9
data-quality9
spark-ml9
unstructured9
python9
fairness-ml9
ai9
image-segmentation9
structured-data9
computer-vision8
Programming languages (4)
Github contributions (5)
Labelbox/labelpandas
Dec 2022 - Sep 2023
Labelbox Connector for Pandas
Contributions:73 releases, 9 reviews, 19 PRs in 9 months
connectorpythonlabelboxpandas
Labelbox/labelspark
Jul 2022 - Jan 2023
This library makes it easy to take unstructured data in your Data Lake and prepare it for analysis and AI work in Databricks. The Labelbox Connector for Apache Spark takes in a Spark DataFrame to create a dataset in Labelbox, and it also brings labeled, structured data back into Databricks also as a Spark DataFrame.
Contributions:74 releases, 4 reviews, 250 commits in 6 months
unstructured-datapreparedata-lakeunstructuredtakes
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