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BEENIAN Labs

Open for Projects · Backend · AI · SaaS

Designingintelligent softwareto serve your mission.

We combine production-grade .NET engineering, applied AI research, and operational insight to build software systems that eliminate friction, protect your assets, and scale with your mission.

Start a project→Explore our work

“Make it correct, make it clear, make it concise, make it fast.” — Wes Dyer

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Product Vision · Discovery Call
AC
Alex · Clientspeaking
BL
BEENIAN Labs · You
📊 PresentingProductVision_Q4.pptx · Slide 3 of 8
🚀 Platform Vision
Secure · Scalable · Compliant
Data Analytics for Operations Teams
Privacy-firstReal-timeRole-based
🎙
📷
💬
🔴
● REC 12:34
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Sprint 1 — Customer Requirements
All tasksPriority ↓7/7 done
✓
REQ-01Role-based access control (RBAC)HighAuth
✓
REQ-02Real-time dashboard with live dataHighUI
✓
REQ-03Regulatory compliance & audit loggingHighSecurity
✓
REQ-04500 concurrent users — read-heavyMedInfra
✓
REQ-05CQRS + read replica architectureMedBackend
✓
REQ-06Encryption at rest & in transitHighSecurity
✓
REQ-07Scope doc v0.1 delivered to clientLowDocs
✓ All requirements capturedStage 2 of 7
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OrderService.cs — System — Visual Studio
C#IOrderRepository.csC#OrderService.cs
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namespace System.Application.Orders;
public sealed class OrderService(
IOrderRepository repository,
IUnitOfWork unitOfWork) : IOrderService
{
public async Task<Result<OrderId>> PlaceAsync(
PlaceOrder command, CancellationToken ct)
{
var order = Order.Create(command.Customer);
foreach (var line in command.Lines)
order.AddLine(line.Sku, line.Qty);
if (order.Total <= Money.Zero)
return Result.Fail<OrderId>("Empty order.");
await repository.AddAsync(order);
await unitOfWork.SaveChangesAsync(ct);
return Result.Ok(order.Id);
}
}
⑂ main✓ Build succeededC#
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AnalyticsQuery.sql — System — SQL Server
▶ ExecuteOrdersDbmaster
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-- Top customers by rolling 90-day revenue + churn risk
WITH monthly AS (
SELECT o.CustomerId,
DATEFROMPARTS(YEAR(o.PlacedAt), MONTH(o.PlacedAt), 1) AS Bucket,
SUM(ol.Qty * ol.UnitPrice) AS Revenue
FROM Sales.Orders o
JOIN Sales.OrderLines ol ON ol.OrderId = o.Id
WHERE o.Status = 'Fulfilled'
GROUP BY o.CustomerId,
DATEFROMPARTS(YEAR(o.PlacedAt), MONTH(o.PlacedAt), 1)
), ranked AS (
SELECT m.*,
SUM(m.Revenue) OVER (PARTITION BY m.CustomerId ORDER BY m.Bucket
ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS Rolling90,
LAG(m.Revenue, 1, 0) OVER (PARTITION BY m.CustomerId
ORDER BY m.Bucket) AS PrevRevenue,
DENSE_RANK() OVER (PARTITION BY m.Bucket
ORDER BY m.Revenue DESC) AS RankInMonth
FROM monthly m
)
SELECT c.Name, r.Bucket, r.Rolling90,
CASE WHEN r.Revenue < r.PrevRevenue * 0.7 THEN 'At risk'
WHEN r.RankInMonth <= 10 THEN 'Champion'
ELSE 'Steady' END AS Segment
FROM ranked r
JOIN Sales.Customers c ON c.Id = r.CustomerId
WHERE r.RankInMonth <= 50
ORDER BY r.Bucket DESC, r.Rolling90 DESC;
✓ Query executed successfully1,428 rows · 214 ms
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ci.yml — System — GitHub Actions
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name: CI/CD · lint → build → test → scan → ship → deploy
on:
push: { branches: [main] }
pull_request: { branches: [main] }
permissions: { contents: read, security-events: write }
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
lint:
runs-on: ubuntu-latest
steps:
✓All checks have passed
✔lint · format + analyzers
✔build (dotnet 8.0.x)
✔build (dotnet 9.0.x)
✔unit + integration tests
✔CodeQL security scan
✔docker build → push (GHCR)
✔deploy → production (approved)
⑂ main · #482Deployed
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System — CloudFormation — AWS · us-east-1
Route 53CF · WAFALBtask 1task 2task 3RDS ×2Redis
✔VPC · 3 Availability ZonesCREATE_COMPLETE
✔Route 53 + ACM TLS certsCREATE_COMPLETE
✔CloudFront + WAF (OWASP)CREATE_COMPLETE
✔Application Load BalancerCREATE_COMPLETE
✔ECS Fargate Service ×3CREATE_COMPLETE
✔Auto Scaling (2 → 12 tasks)CREATE_COMPLETE
✔ElastiCache Redis · clusterCREATE_COMPLETE
✔RDS PostgreSQL · Multi-AZCREATE_COMPLETE
✓ Deployment succeeded8/8 · Multi-AZ
  • C#◆
  • .NET◆
  • ASP.NET Core◆
  • Blazor◆
  • Clean Architecture◆
  • Microservices◆
  • PostgreSQL◆
  • SQL Server◆
  • Distributed Systems◆
  • REST APIs◆
  • CI/CD◆
  • GitHub Actions◆
  • Machine Learning◆
  • AI Research◆
0Years of engineering expertise
0Years delivering .NET production systems
0Core service areas
0Live products shipped

02How We Work

From operational pain to a business engine — in three steps.

Software is only as good as the problem it solves. Every engagement starts in the field, not in the IDE.

Step 01 · Pain

Locate the Real Problem

We study your daily operations in the field — exposing hidden inefficiencies, manual friction points, and structural bottlenecks before writing a single line of code.

Step 02 · Product

Engineer the Solution

We design custom, targeted systems that resolve friction directly — integrating into the workflows your team already uses, with zero unnecessary overhead.

Step 03 · Business

Deliver Measurable ROI

We structure implementation so adoption is risk-free. The economic returns — time saved, leakage eliminated, compliance automated — pay for the system immediately.

See the full methodology →

03About

Engineering depth backed by research and a mission to serve.

BEENIAN Labs brings a rare blend of long-running industry experience and active academic research. Our foundation is C#, .NET, backend architecture, databases, and distributed systems — combined with graduate AI research at the University of Colorado Boulder focused on machine learning and autonomous systems.

The thread across our work is practical rigor: build systems that are explainable, durable, and maintainable so your team can move from operational pain to reliable, scalable software.

04What We Build

Where we invest our engineering focus.

01

Custom SaaS Products

Designing domain-specific software that eliminates operational friction and delivers measurable ROI from day one.

02

Backend Systems & APIs

Building production-grade .NET service layers, data pipelines, and REST contracts that stay maintainable under real load.

03

Distributed & Decentralized Architecture

Engineering peer-to-peer sync, resilient storage, and observability layers that remove single points of failure.

04

AI / ML Integration

Embedding applied machine learning into business workflows — from intelligent automation to graduate-level research.

05Services

Technical depth across every layer of your system.

From senior backend execution to AI-enabled thinking, our capabilities span architecture, data, applied research, and engineering training — all in service of your mission.

01

C# and .NET

ASP.NET Web API, .NET Core, Blazor, enterprise backend systems, and legacy modernization.

C#.NETAPIs
02

Architecture

Clean architecture, MVC, service design, REST contracts, and pragmatic system boundaries.

MicroservicesDesign
03

Data and persistence

SQL Server, PostgreSQL, MySQL, schema design, query behavior, and data model evolution.

SQLModelingPerformance
04

Artificial intelligence

Applied AI research, ML integration, data science foundations, and intelligent application design.

AIMLResearch

06Products

Systems shipped, not just described.

Selected work where architecture, delivery discipline, and automation come together.

Company Site · CI/CD Live

BEENIAN Labs (this site)

The site you're reading now — statically built and shipped through a zero-touch GitHub Actions pipeline with lint, type-check, parallel FTP deploy, and structured HTML email notifications at every stage: commit, deploy start, and lifecycle summary.

TypeScriptTailwindGitHub Actions
Applied Mathematics Live

Math Knowledge

A rigorous, self-contained mathematics reference built for engineers who take the foundations seriously. Covers linear algebra, probability, and discrete structures — not as a crash course, but as a structured body of knowledge with worked examples, formal definitions, and interactive visualizations. Because durable software judgment is downstream of the math, not a substitute for it.

Linear AlgebraProbabilityDiscrete MathCalculus
Visit project ↗

07New Ideas

Early-stage concepts in progress.

Prototypes and products currently taking shape, before they graduate to Projects.

SaaS Prototype · .NET / Angular

Hanan Application

A financial and administrative management system for speech and rehabilitation therapy centers, replacing paper-based tracking with an owner dashboard for sessions, revenue, client packages, automatic therapist commission calculation, and one-tap WhatsApp reporting to families.

.NET 10AngularPostgreSQLAWS
Learn more →
Learning Platform · TypeScript/Python

Mathematics Knowledge System

An interactive mathematics reference covering 198 concepts across 27 domains — from arithmetic to topology — with machine-verified worked examples, 8 widget types for hands-on exploration, and a data pipeline that pulls from Wikipedia, ProofWiki, and NIST. No AI chatbot; learn by reading and doing.

TypeScriptPythonSQLite
Learn more →

08R&D

AI research grounded in measurable engineering outcomes.

Our research lives where intelligent systems, human reasoning, and software engineering meet. We focus on AI that can be evaluated, explained, and applied to improve the way organizations build, operate, and decide.
Discuss a research partnership →

Published work4 peer-reviewed papers

Academic research grounded in software engineering discipline and applied AI questions — published and cited.

Academic partnershipCU Boulder AI research

Graduate-level machine learning research at the University of Colorado Boulder, applied to real client and product challenges.

Research philosophyFrom model to metric

Clear hypotheses, observable behavior, and meaningful baselines — research that translates directly into engineering decisions.

09Training

Engineering training from foundations to senior judgment.

Each program connects conceptual depth with the habits and patterns expected in production software engineering — delivered by practitioners, not just teachers.

Web Application

C# for Beginners

Programming foundations, syntax, control flow, and confidence with the C# ecosystem.

Web Application

C# for Junior Developers

Intermediate concepts, debugging habits, maintainable code, and applied best practices.

Architecture

C# Advanced

Senior-level patterns, backend design, performance awareness, and architecture tradeoffs.

Database

SQL and Modeling

Relational thinking, query mastery, schema quality, and practical database design.

10Values

The principles that shape every system we build.

  1. 01Correct first.
    Systems need truth before speed.
  2. 02Serve the mission.
    Technology exists to solve real problems, not to impress.
  3. 03Design for change.
    Architecture should absorb reality, not deny it.
  4. 04Own the outcome.
    We ship, support, and stand behind what we build.

11Contact

Ready to build something that actually solves your problem?

Describe your project — what you need, what you've tried, and what success looks like. We'll reply within one business day.

Send an email →fahmy.application@gmail.com