Kundan Singh

DCRefers is a legal-tech platform built using Python/Django, connecting modest-means citizens in Washington DC, USA with qualified attorneys and mediators. I've been the sole developer for four years and counting — architecture, backend, infrastructure, and frontend. I built the recommendation & matching engine, onboarding flows, state machine architecture for notification pipelines, and an LLM based categorizer with PII redaction ahead of inference. I also designed a configurable BPMN workflow engine (celery/joeflow) that extends as workflow complexity grows, with a pluggable architecture exposing apps through an AppConfig registry. Integrated a11y to ensure WCAG compliance and i18n/l10n support, and currently building UIs for data and analytics.

Lowbono is an open-source PyPI library — the Python/Django based referral engine extracted from DCRefers, generalized for any pro-bono or low-fee professional-referral portal. Referrals, legal practice-area taxonomy, income-eligibility screening, admin-configurable notification engine on a Celery/Joeflow workflow base. Its optional LLM categorizer runs PII redaction using Presidio, spaCy ahead of inference, classifies queries against a fine-tuned US legal taxonomy, and instruments failure modes for evaluation. Explicit contract over convention — easily plug own professional types via AppConfig contract, and everything is overridable without forking.

Parallax is an applied LLM system that reads a social phenomenon through several theoretical paradigms simultaneously and surfaces where their concepts collide. LLMs generate quality content around sociological issues but fail when comparing multiple paradigms or when concepts collide. So I built an architecture that splits the system: constrained generation producing schema-validated property graph per paradigm, each under its own ontology, then collision detection as a separate deterministic stage — so nothing generated reaches the render path unvalidated. Try cancel culture, ozempic use, global governance.

SapiensInk is a curated list of the best human writing on the internet — essays, books, threads, papers. Here is why I made this, and why it matters. Suggest a reading, if you've found something worth sharing. Also: no signups, no tracking, Pagefind search, and a single JSON file as a public API to build on.

Mindmaps — an offline-first, privacy-first mindmap app. ReactJS & TypeScript, six production dependencies (two are fonts), no network requests after load — enforced by a build check, not a README promise. Hand-crafted tree layout engine, ~600 tests, IndexedDB behind an injected adapter, mobile responsive, full keyboard control, easy backups (JSON or Markdown).