erlang-c

A bare bone implementation of Erlang C in Python. No external modules/libraries we're used. Everything was derived directly from the formula.

Forecast 30-minute contact-centre call volumes and turn demand into queue-level staffing recommendations with XGBoost, FastAPI, Streamlit, Docker, and Erlang C.

Queueing-theory math for the economics of scale: Erlang B/C, M/M/c latency percentiles, pool consolidation, and square-root staffing. Zero-dependency, edge-safe TypeScript.

Queueing Models implemented in .NET

Interval-level WFM forecasting exposing the aggregate trap: total staffing within ~2% of requirement, yet 53% of intervals understaffed. Erlang C, shrinkage modeling, FTE gap analysis in Python.

A comprehensive staffing optimization tool using queue theory (M/M/c model) and stochastic modeling. Available as Flutter mobile app and web application.

A simulator about achieving contact center service level targets.

Schedule redistribution delivered +20.2% service level improvement vs +8.1% from headcount. Five WFM levers tested head to head — no new hires required.

These documents by Tawabiry exhibit the maturity, theoretical depth, and synthesis capabilities typically aimed at Graduate Level (MS/PhD) Applied Research or Senior Staff Engineering Design Docs at major tech firms (L6/L7 level).

The Queue Paradox — M/M/1 queueing theory applied to supermarket checkout lanes. Why the line next to you always goes faster. Over Engineer 05/12.