Baltazar Bieniek — Custom Software for Mid-Sized and Large Companies
Baltazar Bieniek
Available · 2026
16 years building software that runs operations

Custom software for managerswho need to automate, integrate,and get the data intoone place.

What I do

Custom software for mid-sized and large companies. Automation that earns back your team's week, integration that stops the copy-paste, and AI for the documents your business runs on.

Who I work with

Mid-sized and large companies whose internal tools have outgrown spreadsheets and off-the-shelf software — but who aren't ready to staff a forty-person engineering org.

Fintech · Logistics · Retail · Healthcare
On the record
  • Postgrad in Management · Scrum-trained · University lecturer · Mentor
  • Built and led a team of nine engineers
  • NLP certified — general and healthcare
  • Shipping for teams in London, LA, San Francisco, Stockholm and Zurich
Send me the problemSee selected work
✦Custom software✦Automation✦Document AI✦System integration✦Cloud architecture✦Data engineering✦Available 2026✦Custom software✦Automation✦Document AI✦System integration✦Cloud architecture✦Data engineering✦Available 2026
Trusted by operators in
A UK invoice-finance lenderA San Francisco apparel producerSwedish university hospitalsA Zurich investment bankAn international healthcare data provider (40,000+ staff)A UK logistics operator
  • Recovered six figures a year for a retail client — every year
  • Took a new lending product from zero to live without growing the team
  • Unlocked hospital research collaborations that compliance had blocked
What I build
01

Custom software, built to fit your team

End-to-end. First working version in weeks, not quarters.

End-to-end ownershipWorking slice in weeksDesigned around your teamBuilt to last
02

Automation that earns its keep

Invoice processing, reconciliations, the back-office routines nobody talks about — replaced by software that runs quietly in the background.

Free up your team's weekFewer manual errorsLower running costsRuns unattended
03

Integration with what you already run

Your ERP, CRM, vendors, identity provider — connected so data flows without copy-paste.

Vendor connectorsOne source of truthSingle sign-onReal-time sync
04

AI for the documents your business runs on

Invoices, contracts, healthcare records, the PDFs your team copies into spreadsheets — turned into structured data. Years of work with NLP, including healthcare-grade models.

Invoices and contractsHealthcare recordsStructured extractionSearch across documents
05

How we work together

Fix price, success fee, or time & materials — we'll pick what fits. I run the project end-to-end, so you don't need to staff a project manager on your side. References available on request.

Fix priceSuccess feeTime & materialsEnd-to-end ownership
Selected work — clients anonymised

Five projects, five industries.

Case 01 — Fintech

A new lending product, live in months — not years

Embedded finance · Buy-Now-Pay-Later · KYC & onboarding
From scratchCloudWeb appIdentity
BNPL CORE14 servicesID VERIFYokSANCTIONSokCREDIT BUR.okBANK LINKokAPPLICANTKYC vendor mesh · onboarding flow
Built from scratch · greenfield4+ vendors integrated
Greenfield
full product launched end-to-end
Minutes
onboarding for merchants and borrowers
−⅓
cut to the lender's hosting bill
  • Took a UK lender from idea to a working Buy-Now-Pay-Later product — architecture, build, infrastructure, customer app.
  • Connected identity and verification partners so merchants and borrowers complete onboarding in minutes, with the audit trail a regulated lender needs.
  • Shipped a new revenue line without growing the team.
Built with
Azure.NET 8KubernetesReactBicep / IaC
Case 02 — Retail intelligence

Caught the losses the rule-book missed

Retail · Loss prevention · Store-level insight
Pattern detectionRetail dataInsight delivery
CLUSTER · ANOMALY
Unsupervised clustering · t-log data
n = 12.4M tx$200k+ recovered / yr
$200K+
recovered every year for a single client
5 yrs
of near-zero downtime in production
200M
rows of sales data processed every day
  • Designed a system that surfaces fraud patterns and store inefficiencies the existing rule-based stack couldn't see.
  • Built the data backbone underneath — a continent's worth of point-of-sale activity arriving cleanly every night, ready to act on by morning.
  • Six figures recovered annually — repeated year after year.
Built with
RC#SQL ServerUnsupervised ML
Case 03 — Logistics

One operator view across ocean, road and air

Logistics · Carrier integrations · Live tracking
Real-time trackingCarrier integrationsOperator UX
MV·ATLASETA 04:12MV·KORAOn timeMV·NORD+02:40MV·HALOBerthingGDYLAXRTMSIN
Vessel tracking · live view
4 vessels · 3 lanesUTC 11:42:08
24/7
live shipment tracking
Multi
carriers and freight modes unified
End-to-end
from data ingestion to operator screen
  • Designed a vessel-tracking experience for a UK logistics operator — position, ETA, exceptions — sitting alongside road and air.
  • Wired the platform to external carrier data so a single milestone update reaches every operator who needs it.
  • Dispatchers stopped chasing carriers and started managing exceptions.
Built with
React.NET 8CloudMS SQL Server
Case 04 — Healthcare

Patient data, made safe to work with

Healthcare · Compliance · Research enablement
GDPR-compliantHealthcareAudit-ready
PT_1000DG_1037RN_1074VS_1111BP_1148HR_1185LB_1222WT_1259HG_1296SM_1333PHI · masked at source
SQL CLR · .NET 8GDPR-grade
GDPR
compliant masking at the source
One tool
serving multiple Swedish hospitals
Audit
trail built in from day one
  • Built a tool that lets Swedish hospitals share patient data with researchers — safely, regulator-friendly, without exposing identities.
  • Shipped a companion web product researchers use to set up and manage studies.
  • Hospitals unlock research collaborations they previously couldn't take on.
Built with
SQL CLR.NET 8BlazorBicep / IaC
Case 05 — R&D

Probabilistic diagnosis you can explain to a clinician

Research · Medical AI · Decision support
Medical AIDecision supportResearch-grade
P1P2P3P4P5P6P7P8Bayesian network · symptom → disease
Research
graded — MSc work, shipped
Real-time
diagnostic answers, not batch jobs
Explainable
visualiser for every result
  • Designed a symptom-to-condition reasoning engine and the visualiser clinicians use to inspect each result.
  • Made the underlying network small enough to answer in real time, without losing diagnostic accuracy.
  • Shipped as MSc thesis and used in clinical work, not just cited.
Built with
JavaBayesian networksRough setsOracle
Working internationally
EN fluent · DE basic · RU basic · PL native
  • LondonFintech, embedded finance, logistics — daily collaborationUnited Kingdom
  • Los AngelesRetail data — daily work despite the 9-hour gapUnited States
  • San FranciscoApparel loss prevention — pattern detection on point-of-saleUnited States
  • StockholmHealthcare data — research enablement for hospitalsSweden
  • ZurichInvestment bank — risk and regulation workSwitzerland
Stack
Languages & runtimes
  • ●C# / .NET 8
  • ●TypeScript
  • ●Python
  • T-SQL, PL/SQL
  • R, PySpark
Front-end
  • ●React
  • ●Blazor
  • Angular
  • Cypress, unit tests
Cloud & platform
  • ●Azure (AKS, Functions, App Service)
  • ●Bicep / IaC
  • Databricks, Data Factory
  • Helm, Docker, Kafka
Data & AI
  • ●MS SQL Server
  • ●NLP (John Snow Labs certified)
  • PostgreSQL, CosmosDB
  • Bayesian networks, unsupervised ML
Get in touch

Tell me what's in the way.

Tell me about the system that's slowing you down. I reply within two working days with whether I can help — and what shape that help would take.

Send a brief

What to send
  • A short paragraph about the problem you're trying to solve
  • Anything already in place — team, tools, vendors
  • What "done" looks like for you
  • Rough timing and budget, if you have one
Response within two working days.