Building high-performance open-source systems for evolving graphs, AI infrastructure & software reliability
Graph Systems · AI/ML Infrastructure · Software Reliability · C++ / Python
⭐ Featured — VeloGraphX
VeloGraphX is a C++20 + Python engine for dynamic graph analytics. When a graph changes, it can update affected state instead of blindly recomputing everything—while retaining full recomputation when that is the better choice.
Supports BFS/SSSP, connected components, triangle counting, k-core and PageRank.
Why try it
- Correctness-first dynamic analytics with exactness checks and conservative fallbacks
- 2,000,000 updates · 0 BFS mismatches · 0 triangle mismatches
- C++20 + Python with reproducible benchmarks
| Project | What it solves |
|---|---|
| 🎯 ConfigReach | Codecov for configuration space — find env vars, feature flags and configuration states your tests do not exercise. |
| 🧬 OligoArk | DNA archival-storage research: encode data into DNA-like strands, simulate channel errors, reconstruct noisy reads and verify exact recovery. |
| 🧩 VertiMosaic | Vertical federated learning for organizations that share entities but keep raw feature tables local. |
| 🔀 DeciShift | Behavioral regression testing for ML decision systems: detect changed decisions, explain shifts and gate releases. |
Try a project on your workload, report what breaks, reproduce a benchmark, or open a PR.
Book: Machine Learning for Finance
Course: Data Analysis for Business and Finance — 22,000+ learners
Technical writing: Selected articles
More research & professional links →
Follow @sauravsingla for releases, benchmarks and open-source experiments.



