Shreyansh Bardia
Founder at Law & Verdict
Jaipur, Rajasthan, India
Summary
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Rockstar🎓
Top SchoolShreyansh Bardia is a founder and data scientist with four years of hands-on experience building ML-driven solutions and backend tooling, currently studying dual bachelor’s degrees in Data Science & Programming (IIT Madras) and Statistics (NMIMS). He combines strong mathematical grounding with practical skills in Python, NumPy, SciPy and scikit-learn, and has contributed backend enhancements to the Ivy project—extending NumPy and JAX frontends—which reflects an aptitude for low-level numerical tooling. His internships across startups and enterprises (Mphasis, Larsen & Toubro, Klub, Aurva) demonstrate rapid iteration from prototyping to production-ready models, while founding Law & Verdict shows early entrepreneurial drive. Comfortable with databases and SQL and innately drawn to pattern discovery, he pairs technical depth with disciplined time management developed from pursuing two degrees simultaneously.
3 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology MadrasBachelor's degree, Statistics, Bachelor's degree, Statistics at SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
web-framework10
ivy10
jax10
python10
numpy10
converter9
machine-learning9
deeplearning-ai9
deep-learning9
tensorflow7
pytorch7
Programming languages (2)
Github contributions (5)
ivy-llc/ivy
Jul 2023 - Oct 2023
Convert Machine Learning Code Between Frameworks
Role in this project:
Back-end Developer
Back-end DeveloperContributions:54 reviews, 58 PRs, 6 pushes in 3 months
Contributions summary:Shreyansh's commits primarily focus on enhancing the NumPy frontend of the Ivy project, specifically adding and updating functionalities. These changes include implementing the `compress` function for NumPy and Jax backends, adding the `asmatrix` function to the NumPy frontend, and implementing the `broadcast` and `r_` class to the NumPy frontend. The user also made corrections to existing functions like `can_cast`, `result_type` and `where`. This suggests a strong involvement in extending and improving the existing functionality within the Ivy framework, with a focus on NumPy and Jax.
pythontensorflowframework-learningtemplatedata-science
ShreyanshBardia/ivy
Jul 2023 - Oct 2023
Unified AI
Contributions:4 PRs, 236 pushes, 77 branches in 3 months
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