Rahul Dave
Senior Scientist at Univ.AI
Somerville, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolRahul Dave is a Senior Scientist and co-founder who bridges 15+ years of physics research, Bayesian statistics, and applied AI to real-world problems—from uncovering cosmological signals to extracting insights from credit agreements. He formerly lectured data science and probabilistic modeling at Harvard (CS109, AM207, CS207) and now leads Univ.AI’s teaching and consulting efforts while advising product teams at CredCore and Hult. Rahul built scalable research systems such as the ADS/VAO AstroExplorer and a time-series search engine, combining semantic web, search, and modern stacks (Flask, MongoDB, Solr, RDF) with hands-on notebook-driven teaching materials. He’s equally comfortable merging course code and Jupyter notebooks for open teaching repositories as he is translating astrophysics-grade modeling into industry applications.
16 years of coding experience
22 years of employment as a software developer
BSc, Physics, BSc, Physics at St. Xavier's CollegePh. D., Physics, Ph. D., Physics at University of Pennsylvania
Hindi, Gujarati
Stackoverflow
91reputation
7kreached
0answers
2questions
Github Skills (14)
notebooks10
pandas10
jupyter-notebook10
ipython10
python10
numpy10
matplotlib10
data-analysis10
scikit-learn9
scikit9
git9
seaborn8
pymc6
mongodb6
Programming languages (13)
Github contributions (5)
cs109/a-2017
Jun 2017 - Nov 2017
Public Repository for cs109a, 2017 edition
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:70 commits, 58 pushes, 2 branches in 5 months
Contributions summary:Rahul merged the master branch of the repository, indicating integration of changes. The commits contain code differences in a Jupyter Notebook, including import statements for libraries like pandas, numpy, and scikit-learn. The code explores and loads a dataset and explores.
public-repositorymachine-learning
cs109/2015lab1
Sep 2015 - Sep 2015
Role in this project:Data Scientist
Data ScientistContributions:11 commits, 9 pushes, 1 branch in 6 days
Contributions summary:Rahul's primary contribution involves modifications to an iPython Notebook (`Lab1-babypython.ipynb`) within the context of a data science course. The commits demonstrate initial code implementation and demonstrate familiarity with data science related libraries. The user's modifications included code additions to make git and windows compatible, showing some degree of comfort with git operations and an understanding of the tools involved in the course. Further commits reveal that the user made copies of original notebooks and incorporated the `hw0.ipynb` notebook into the lab.
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