Production-grade AI software delivery
I help founders, SMEs, and enterprise teams turn AI-generated prototypes, legacy .NET systems, and messy product ideas into secure, scalable, launch-ready software. AI can generate code. My job is making sure the product actually works in the real world.
A public-site assistant running through a Worker and lightweight RAG. It is the small version of the same principle I use on client work: AI with boundaries, logs, and human judgement.
One senior, the output of a team: architecture, rescue work, CI/CD, test strategy, performance, cloud deployment, and AI-assisted delivery held to a production bar.
Productised senior engineering for teams moving fast with AI, living with legacy .NET, or trying to get a serious product over the production line.
For apps built with Cursor, Claude, Codex, Lovable, Bolt, Replit, freelancers, or agencies. I review architecture, security, data, deployment, scalability, test coverage, and likely AI-generated weak spots, then give you a practical 30-day rescue plan.
A focused sprint to harden the highest-risk parts of a half-built or AI-built app: authentication, APIs, database design, deployment, observability, performance, and the code paths that must not fail at launch.
Modernise WinForms, WPF, ASP.NET MVC, WebForms, WCF, SQL Server-heavy workflows, and desktop systems without throwing away the business logic that still earns money. AI accelerates the work; senior judgement controls the risk.
Senior technical judgement for founders building with AI tools, freelancers, or a small product team. Architecture reviews, roadmap risk, PR review, vendor sanity checks, and a clear view of what should be automated, rebuilt, or left alone.
For serious MVPs that need clean architecture, cloud deployment, security, tests, maintainability, and realistic product trade-offs from day one. Not a demo generator: a real product engineering path.
Funded founders with AI-built prototypes, SMEs with legacy .NET systems, agencies needing senior rescue capacity, and teams that need production-grade delivery without hiring a full team.
public class EnterpriseService
{
private readonly IDistributedCache _cache;
public async Task<Result> ProcessAsync(Request req)
{
var cached = await _cache.GetAsync(req.Key);
if (cached != null) return cached;
var result = await _pipeline
.Validate(req)
.Transform()
.ExecuteAsync();
await _cache.SetAsync(req.Key, result);
return result;
}
}
Basic development is getting cheaper. Real engineering judgement is getting more valuable: architecture, security, testing, deployment, product trade-offs, and knowing when generated code is confidently wrong.
I use AI agents to accelerate design, implementation, review, and regression coverage, but the accountability stays human. No blind merges, no magic architecture, no fake productivity that becomes tomorrow's outage.
Old WinForms, WPF, ASP.NET, WCF, SQL Server, and desktop workflows usually contain valuable business logic. The right move is often gradual extraction and modernisation, not a heroic rewrite.
Two decades of production delivery plus AI-assisted engineering means a leaner path from messy idea to hardened release. Useful for audits, rescue work, modernisation, and focused product builds.
AI-native chat
Streamed chat over a small RAG path: Worker, retrieval on these public pages, and the usual production care around boundaries. Ask about stack, career shape, and fit. For IR35, SOW, or anything binding, use email or Offers.
This assistant speaks about Qaiser in the third person. It does not hold private credentials
or unpublished client names. Conversation stays in this browser tab until you refresh (optional persistence in
sessionStorage).
Site assistant unavailable right now. Please use the contact section for audit, rescue, modernisation, and advisory enquiries.
From architecture and code to pipelines and production support: the parts that decide whether a fast prototype becomes a dependable product.
I help businesses move fast with AI without building fragile software. That means auditing AI-generated code, rescuing half-built products, modernising legacy .NET, and designing systems that remain understandable after the first launch.
I have delivered complex applications for financial services, healthcare, e-commerce, gaming, and industrial automation. Consistently meeting demanding deadlines while holding the line on code quality, performance, and operational resilience is not optional in those industries. It is the baseline.
Performance and scale: legacy modernization, profiling, multithreaded architectures, and database tuning, including scaling datasets from roughly 2,000 to 16,000+ records while preserving responsiveness.
Production .NET stack · live request flow
Named engagements with measurable outcomes across finance, healthcare, industrial automation, energy, and secure communications.
M-Solv Ltd · Oxfordshire, UK
Delivering C#/.NET integration for a high-precision industrial equipment platform. Implementing and validating SECS/GEM and XML-based protocol workflows covering machine and control state, alarms and events, recipe and lot handling, and diagnostic notifications. Working across multi-repository codebases to support Factory Acceptance Test readiness, traceable delivery, defensive parsing, and focused regression testing.
Private product R&D · Reading, UK
Leading delivery on a substantial cross-platform .NET 9 and Uno Platform (WinUI) codebase spanning desktop, WebAssembly, Android, and iOS; secure real-time workflows, robust identity onboarding, ASP.NET Core, PostgreSQL (EF Core), SignalR, and broad automated regression across API, hubs, and client layers. Unreleased product and company branding are kept private until launch; public emphasis is transferable cross-platform architecture, migration from legacy desktop stacks (e.g. WPF/WinForms), and production-grade velocity with AI-assisted engineering under disciplined review.
Trading platform · Manchester, UK
Optimized back-office trading forms (WPF/WinForms), cutting load times from 45 seconds to under 2 seconds (95% faster) and boosting trader efficiency by 75%. Engineered asynchronous ASP.NET Web API and WCF services that reduced API latency by 60% and handled 10x concurrent event updates during peak racing and football windows. Built CSV imports processing 150 market selections in under one minute. Architected multi-franchise integration that reduced franchise onboarding time by 40%. Maintained 99.9% system availability with post-mortem discipline.
Healthcare EMR · Reading, UK
Delivered a modular EMR suite for 50+ hospitals, automating scheduling, pharmacy, and inventory workflows and reducing manual processes by 50%. Developed multithreaded MVVM back-end on SQL Server achieving sub-2-second transaction times for critical clinical operations. Created DevExpress-based dashboards generating 200+ monthly reports at 99.9% uptime. Packaged deployment to 100+ client sites, lowering installation issues by 90%.
Industrial software · Warrington, UK
Overhauled DataCenter software, scaling capacity from 2,000 to 16,000 test records and cutting PDF generation from over 100 minutes to 15 minutes (85% reduction). Modernized the UI with WPF and multithreading, boosting user satisfaction by 40%.
Finance, energy, education, government
Reliability modelling at Fidelis Group (simulation runtimes cut 90%). .NET migration of UK Power Networks automation at Logica/CGI (data processing reliability improved 75%). Toll collection and tax systems at PRAL handling 100K daily transactions at 99.99% accuracy. Educational assessment software, nano-optical metrology enhancements at Infinitesima, and ERP modules across multiple domains.
Organized by discipline, combining long-running production experience with current hands-on labs.
Long-form notes on architecture, modernization, performance, and AI in enterprise software.
How teams are structuring platforms for change velocity without sacrificing governance.
Read articlePractical steps to de-risk rewrites and navigate incremental migration.
Read articleProfiling, data access, and scalability patterns that survive real load growth.
Read articleWhere AI genuinely augments delivery, and where human design still wins.
Read articleMeasurable results from real engagements: old systems made faster, safer, and easier to operate.
Cut back-office trading form load times from 45 seconds to under 2 seconds. API latency reduced 60%. The platform absorbed 10x concurrent event updates during peak racing and football windows without degradation. Franchise onboarding time dropped 40% through a multi-franchise architecture. System availability held at 99.9%.
Modular EMR suite covering scheduling, pharmacy, inventory, and clinical reporting. Manual processes reduced by half. Sub-2-second transaction times for critical clinical operations. 200+ reports generated monthly at 99.9% uptime. Deployment packaged for 100+ client sites with installation issues down 90%.
Scaled DataCenter software from 2,000 to 16,000 test records while cutting PDF generation from over 100 minutes to 15 minutes. Modernized the UI with WPF and multithreading. Infrastructure that blocked engineers now runs in the background.
Developed reliability modelling enhancements that cut simulation runtimes by 90%. For scientific and engineering software, that kind of speedup changes what questions are worth asking.
Focused labs across .NET, cross-platform clients, APIs, real-time flows, and AI-assisted decision support. Real code, not slideware.
Clean-room C#/Avalonia counterpart to the workflow class represented by Java/Swing G-code senders, with live tool position, completed path, progress, and machine telemetry.
.NET 10 and Avalonia 12, layered application and infrastructure projects, DTO-based API clients, SignalR, Dapper and PostgreSQL, a TCP machine simulator, Docker, and automated tests. Release automation builds and smoke-tests Windows x64 plus Debian/Ubuntu x64 packages and portable archives.
One adaptive chrome from phone to ultrawide without splitting your information architecture.
Uno WASM on GitHub Pages; Windows desktop zip and Android APK on the continuous prerelease (every green main build).
Uno podcast lab: RSS enclosures through MediaPlayerElement on WASM and Windows desktop; optional Worker for browser CORS on feeds.
Uno WASM on GitHub Pages; Windows desktop zip and Android APK on the continuous prerelease (every green main build).
Token, typography, motion, and control specimens for Uno: design system in a single gallery app.
WASM on Pages; desktop zips on Releases when tagged.
Heuristic migration questionnaire and report: fewer meetings, clearer bets. Pure client Uno.
WASM on Pages; desktop zips on Releases when tagged.
Lean .NET 9 minimal API: redirect chain, HTML title sniff, TLS hints, SSRF guards, Swagger.
No shared public instance is wired: run locally or deploy Fly/Azure using the repo. Integration tests do not need the public internet.
SignalR room chat demo: static client on GitHub Pages; messages live in server RAM only.
Full demo needs a deployed API (for example Fly) or local Kestrel. Optional Actions variable can bake in a public API base.
Browser client plus Cloudflare Worker: streams Anthropic output into an ADR-style memo (Markdown download).
Pages shell is public; streaming needs ANTHROPIC_API_KEY on the Worker. Optional WORKER_PUBLIC_URL repo variable wires the client to your Worker.
How I approach complex systems, teams, and production pressure.
Clarity beats cleverness, every single time. I design systems with explicit boundaries, testable seams, and architectures the next engineer can reason about at 2 a.m. without heroics. If your codebase needs a hero, your codebase has a problem.
Three degrees grounding two decades of applied engineering.
Selected feedback from long-term clients and project partners.
"Although the project had taken longer than initially anticipated, Qaiser was very patient and strove to achieve the deliverables in every way he can. Excellent."Norazlin, Kuala Lumpur
"It is not very often that you come across a developer with as much skill as Qaiser. He completely understood the requirements, implemented them and went head and shoulders above what we expected."Luke R, Liberty Lake, USA
"Outstanding work again. Qaiser is the best worker I have worked with."Mark Hodnett, Fidelis Group LLC, Texas
"I have worked with Qaiser on many projects now and I am continually impressed by his knowledge and ability and willingness to take on a challenge."Tarey W, Traverse City, USA
"Wonderful guy to work with. Very good understanding and a lot of patience. Will enjoy doing business with him again."Stacy J, Baton Rouge, USA
Share the system, the risk, and the business deadline. Serious audit, rescue, modernisation, and advisory enquiries receive a thoughtful response.
For AI app health checks, production rescue sprints, legacy .NET modernisation, fractional AI CTO support, greenfield product engineering, or UK contract work, reach out by email. If the codebase is messy but the business opportunity is real, that is exactly the territory I like.
UK eligibility & professional
Right to work. British citizen: indefinite right to work in the United Kingdom; no visa sponsorship required for UK engagements, now or in the future.
Security vetting. Not currently holding national security vetting at Security Check (SC) level; happy to work with an employer to apply through United Kingdom Security Vetting (UKSV) if a role requires it. In an earlier role, completed pre-employment screening consistent with the government’s Baseline Personnel Security Standard (BPSS) (many years ago). BPSS is pre-employment screening; it is not a live “clearance” you carry, and any future BPSS or higher national security vetting would follow the employer’s process afresh under current Cabinet Office guidance.
Driving. Full UK licence, clean (no penalty points at last renewal).