AI / ML research
Turning intelligent systems from abstract possibility into measurable behavior.
Available · Backend · AI Research · Teaching
Engineeringdependable systemsand practical AI.
I connect production-grade .NET architecture, artificial intelligence research, and teaching into work that helps people build software with discipline, clarity, and momentum.
“Make it correct, make it clear, make it concise, make it fast.” — Wes Dyer
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OrderService.cs — ERP — Visual Studio
C#IOrderRepository.csC#OrderService.cs
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namespace ERP.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 succeededERP.ApplicationC#
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AnalyticsQuery.sql — ERP — 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 — ERP — 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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ERP — CloudFormation — AWS · us-east-1
✔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 in software development
0Years in senior .NET backend work
0Published research papers
CUAI graduate studies at Boulder
01Profile
Industry depth with a researcher’s curiosity.
I bring a rare blend of long-running industry experience and active academic exploration. My background is anchored in C#, .NET, backend architecture, databases, and distributed systems, while my current graduate work in Computer Science focuses on Artificial Intelligence at the University of Colorado Boulder.
The thread across my work is practical rigor: make systems explainable, durable, and teachable so students, engineers, and teams can move from theory to reliable implementation.
02Current Focus
Where I am investing attention now.
Advanced .NET architecture
Designing service boundaries, APIs, and data flows that stay maintainable under pressure.
Distributed systems
Working through coordination, resilience, and observability in real backend environments.
Computer science education
Helping learners build strong mental models, not just memorize framework syntax.
03Expertise
Technical range built for real systems.
From senior backend execution to AI-enabled thinking, my work sits at the intersection of architecture, data, research, and instruction.
C# and .NET
ASP.NET Web API, .NET Core, Blazor, enterprise backend systems, and legacy modernization.
C#.NETAPIs
Architecture
Clean architecture, MVC, service design, REST contracts, and pragmatic system boundaries.
MicroservicesDesign
Data and persistence
SQL Server, PostgreSQL, MySQL, schema design, query behavior, and data model evolution.
SQLModelingPerformance
Artificial intelligence
Graduate AI work, ML concepts, data science foundations, and intelligent application design.
AIMLResearch
04Projects
Systems shipped, not just described.
Selected work where architecture, delivery discipline, and automation come together.
Static Site · CI/CD Live
Personal Portfolio (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 ↗08About
Who's behind this work?
FH
Fahmy Hassan
Founder & Systems Architect
As an architecture engineer with years of production experience building reliable, high-throughput systems, I bridge rigorous software engineering with modern AI capabilities — currently completing a Master's in Computer Science with a concentration in machine learning at CU Boulder.
With a PhD in self-autonomous systems as my next academic milestone, my research focuses on how AI can make independent, reliable decisions. I teach computer science alongside this work — not as a side activity, but because explaining something clearly is one of the sharpest tests of whether you actually understand it.
Backend systems
C# · .NET · PostgreSQL
Production-grade API design, clean architecture, and service boundaries that hold under real load.
AI research
CU Boulder · ML
Graduate-level study in machine learning — closing the gap between academic theory and applied engineering.
CS education
Teaching · Mentoring
Helping engineers build durable mental models, not just framework familiarity.
05New Ideas
Early-stage concepts in progress.
Prototypes and products currently taking shape, before they graduate to Projects.
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 →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 →06Research
AI thinking grounded in measurable software outcomes.
My research interests live where intelligent systems, human reasoning, and software engineering meet. I care about AI that can be evaluated, explained, and used to improve the way people learn, build, and decide.
Discuss collaboration →Academic writing shaped by software engineering discipline and applied AI questions.
Focused study through the University of Colorado Boulder.
Preference for clear hypotheses, observable behavior, and meaningful baselines.
07Teaching
Courses that move from foundations to senior judgment.
Each course is designed to connect conceptual understanding with the habits expected in production software work.
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.
08Principles
How I try to make complex work useful.
- 01Correct first.Systems need truth before speed.
- 02Explain the model.Good engineering gives people a mental handle.
- 03Design for change.Architecture should absorb reality, not deny it.
- 04Teach the judgment.Tools matter, but durable skill comes from reasoning.
09Contact