/ runtime
1,447live

work

Everything, still running

13 systems — each page is the problem, the architecture, the failure modes I defended against, and the numbers. Start with the flagship.

whatsapp-notification-router

open-source

Classifies every incoming WhatsApp message as notify / digest / mute — with multimodal understanding of voice notes and images.

action acc. 100%type acc. 96.7%evidence 90%

library-management-system-dbms

● live

Full-stack DBMS on MySQL (TiDB Cloud) with a five-agent LangGraph concierge that streams replies token by token over SSE.

tables 12agents 5transport SSE

AskDB

● live

Natural language to SQL that heals itself: failed queries are re-generated against the schema until they run — or until they're proven unsafe.

self-heal ≤3 retriesguard SELECT onlyeval RAGAS

ChatPDF

● live

Corrective RAG: every retrieved chunk is graded before generation, and a weak retrieval silently becomes a web search instead of a hallucination.

nodes 6correct ≥ 0.7incorrect < 0.3

folio-blog-studio

● live

A multi-agent press room: route, research, plan, write sections in parallel, revise, illustrate with FLUX — a full post from one topic.

workers parallelimages FLUX.1failover dual-key

deep-agent

● live

Research and job-search agents that critique their own drafts and re-research before you ever see the output.

loop ≤2 revisionssources Tavily + SerpAPI

travel-booking-agent

● live

Five agents that plan a trip end to end — flights, hotels, itinerary, summary, email — with conversation state persisted in Postgres.

agents 5state PG checkpointer

email-agent

● live

A support desk assistant: fetches unread Gmail, drafts replies grounded in a knowledge base, sends only after your review.

draft review-first

customer-churn-predictor

● live

Random Forest churn prediction on 7,047 telecom customers — with SHAP explanations per customer, not global averages.

records 7,043threshold 0.35 tuned

notebooks

● live

marimo notebooks exported to WebAssembly — ML apps that run entirely in the browser with no backend.

runtime WASM

scientific-calculator

open-source

Expression parsing done the DSA way — stack-based tokenizer, numerical integration, undo/redo.

core stack parser

msm-enterprises-and-handicrafts

client

A B2B metalware commerce platform for a family business in Aligarh — from the bronze idol to the aerospace bolt, selling to procurement managers in 40+ countries.

materials 4 seriescollections 11shipping 40+ countriespartners 150+