Ujjwal Karn
Software Engineer at Meta
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolUjjwal Karn is a software engineer with 11 years of experience focused on generative AI and LLM safety at Meta, where he was a core contributor to the Llama 3 release and helped open-source safeguard models like Llama Guard 2 and 3. He brings a strong applied ML background from roles at Facebook and Accenture, spanning detection systems for ads, safety infrastructure, and productionized recommendation and marketplace features. Comfortable across Python and R, his open-source work includes practical data science and ML tutorials (DataSciencePython, DataScienceR, Machine-Learning-Tutorials) and a Kaggle Competitions Expert profile that underscores hands-on modeling skill. He combines research instincts (Google Scholar portfolio) with product-driven engineering in the San Francisco AI ecosystem, and his early robotics and tracking research hints at a long-standing interest in real-time perception and control.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.E.) Electrical and Electronics Engineering, Bachelor of Engineering (B.E.) Electrical and Electronics Engineering at Birla Institute of Technology, MesraHigh School, High School at Jawahar Vidya Mandir, Shyamali
English
Stackoverflow
3,118reputation
506kreached
64answers
3questions
fonts
top-5%
r
top-5%
matrix
top-5%
Github Skills (33)
python10
data-science10
r10
scikit10
pandas10
machine-learning10
time-series10
linear-regression10
statsmodels10
natural-language-processing10
scikit-learn10
text-mining10
logistic-regression10
nlp10
data-analysis10
Programming languages (3)
Github contributions (5)
ujjwalkarn/Machine-Learning-Tutorials
Sep 2015 - Oct 2021
machine learning and deep learning tutorials, articles and other resources
Role in this project:
Data Scientist
Data ScientistContributions:1 review, 261 commits, 48 PRs in 6 years 1 month
Contributions summary:Ujjwal contributed to the repository by creating and modifying R scripts focused on statistical learning and machine learning techniques. They implemented linear regression models, explored multiple linear regression, and examined interactions and non-linearities. The user also demonstrated the application of logistic regression and utilized datasets from statistical learning texts. Their work directly aligns with the repository's focus on machine learning tutorials.
deep-learningmachine-learningdeep-learning-tutorialmachinelearningneural-network
ujjwalkarn/DataScienceR
Oct 2014 - Oct 2017
a curated list of R tutorials for Data Science, NLP and Machine Learning
Role in this project:Data Scientist
Data ScientistContributions:161 commits, 152 pushes in 3 years 1 month
Contributions summary:Ujjwal primarily contributed to data science tutorials, specifically focusing on text mining and time series analysis using R. They added new R scripts demonstrating sentiment analysis, n-gram analysis, word cloud creation, and K-means clustering techniques for text data. The user also implemented time series analysis methods, including decomposition, exponential smoothing, and forecasting, showcasing practical applications within the data science domain. Additionally, the user provided useful R commands in a separate file.
data-sciencemachine-learningnatural-language-processingdatasciencer
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