Welcome to my digital workspace! I am an engineer specializing in Machine Learning, Scientific Computing, and Data Science. My core passion lies in building mathematically robust models and contributing scalable code to high-impact open-source scientific organizations across various domains.
- 🔭 Current Focus: Complex data pipelines, predictive modeling, and GSoC '26 / ESoC '26.
- 🧬 Research Domains: Currently focusing my open-source efforts across three primary dimensions:
- Human-centered AI & foundational models.
- Bioinformatics & genomic data scaling.
- Atmospheric Modeling & Neural Weather Prediction.
- 💻 Competitive Programming: Active participant on Codeforces and CodeChef.
- 📫 Reach me at: shauryam934@gmail.com / devm89548@gmail.com
I actively contribute to complex scientific and machine learning repositories:
| Organization | Domain | Contribution | PR | Status |
|---|---|---|---|---|
shap/shap |
Explainable AI | Migrated 5 numba functions to C++ via nanobind — 12.9x speedup | #4646 | 📝 Draft |
shap/shap |
Explainable AI | Added 19 unit tests for _clustering.py utilities |
#4634 | 🔓 Open |
shap/shap |
Explainable AI | Fixed deprecated datetime.utcnow() calls |
#4393 | ✅ Merged |
malariagen/malariagen-data-python |
Genomics | Normalized taxon_by handling in cohort grouping |
#997 | 🔓 Open |
malariagen/malariagen-data-python |
Genomics | Added cohort filtering for unassigned samples | #983 | ✅ Merged |
mllam/neural-lam |
Weather AI | Ported sample-based CRPS & ensemble variance metrics | #226 | 🔓 Open |
humanai-foundation/RenAIssance |
AI / OCR | Built 3-phase OCR pipeline for Renaissance manuscripts | Repo | 🔨 Active |
finternet-io/demo-finternet |
Verifiable Data | Modular VP builder for selective disclosure protocols | Repo | 🔨 Active |
Artificial Intelligence & Data Science
Languages
Web & Database
