Systems · Apple platforms · Research engineering
Rigorous software for production apps and research-grade systems.
Sapana Micro Software ships polished experiences on Apple platforms and publishes open technical hubs spanning numerics, probabilistic inference, genomics, and agentic architectures — built with correctness, performance, and clarity at the center.
Apps & products
Production apps for iPhone, iPad, Mac, Apple Watch, and more — crafted with attention to reliability and polish.
Paper Highlighter
Turn any PDF into a narrated broadcast with synchronized neon highlighting.
Open web product →Concentric Vector Chord
A kernelized vector distributed hash table that preserves semantic locality across Euclidean and kernel-defined embedding spaces—without a centralized vector index.
Open web product →Developer listing
Sapana Micro Software on the App Store
See every release across iPhone, iPad, Mac, Watch, and more on the official developer page.
Research & technical hubs
Canonical documentation sites and repositories — each hub stays on its own Pages deployment while this site ties everything together.
DDRKAM
Data-driven Runge–Kutta and Adams methods — ODE/PDE solver framework with hierarchical architectures and rigorous benchmarks.
- Numerics
- ODE/PDE
Merry-Go-Round Splay Trees
Advanced tree structures and algorithms — source and licensing on GitHub.
- Data structures
- GitHub
Progressive Learning Chess Engine
Hybrid Bayesian–LSTM architecture with curriculum learning, spaced repetition, and Pavlovian conditioning.
- ML
- Chess
Lossless Bayesian Networks
Exact probabilistic inference in C++ with macOS visualization — lossless belief propagation and diagnostics.
- C++
- Inference
Mahajan Masterpiece
Research hub and documentation for the Mahajan Masterpiece project.
- Research
Multi-Model Agentic AI
Fault-tolerant, distributed multi-agent architecture integrating LLMs with MDL-normalized memory and rigorous protocols.
- Agents
- Distributed
Solve Genomics
DNA sequence alignment and pattern matching — 25+ algorithms with benchmarks and analysis.
- Genomics
- Algorithms
Leadership
Chief Engineer (Manager)
Shyamal Suhana Chandra
Profile, background, and selected links live on the personal site — reach out there for collaboration aligned with systems engineering, Apple platforms, and research-inspired product work.
Visit shyamalschandra.github.io →