Mobile
06Cross-platform and native, shipped to both stores.
FlutterDartKotlinXMLXCodeFirebase
Jamie Abrahams, Software Engineer and Founder
01 · AboutCape Town, South Africa
Five products. Two app stores. One engineer.
I build software products end to end: the model that makes them intelligent, the checks that prove the output is right, and the app it all ships in.
I founded AppCraft Studios to ship my own work. Slip-Scan came first: second place in the National SOCS Award, now live on iOS, Android and web with 10,000+ users. Four more products are in development behind it, including AfriBush, a wilderness OS with its own LoRa mesh hardware.
Alongside that I built CapeFinAI for a commercial lender. It reads bank statement PDFs, rebuilds the ledger and reconciles it against the bank's printed totals, across 759 real statements.
Before all of it I rebuilt a yacht club's entire mobile ecosystem alone, trained an MRI classifier past 95% accuracy, and fine-tuned a 7B model to write WebAssembly that actually compiles.
0Products in the studio
0App stores live
0kSamples fine-tuned on
0%Model accuracy
AppCraft StudiosEst. 2025 · Cape Town
Slip-ScanReceipt & invoice captureLive
FinYang AIStatement intelligenceLive
CraveMatchSwipe to your next mealBuilding
TripKitOffline flight copilotBuilding
AfriBushWilderness OS & LoRa meshBuilding
“Strategic, entrepreneurial, and technically deep. The combination is the point.”
02 · Path2018 to Present
From client work to my own products.
- 2025 to Present
Founder · Principal Developer
AppCraft Studios (Pty) Ltd- Shipped Slip-Scan to the App Store and Google Play.
- Built a five-product portfolio spanning financial automation, AI, travel and offline wilderness hardware.
- Direct accounting integrations with Xero and Sage.
- 2026
Sole Engineer, CapeFinAI
CapeFinAI · commercial lending client- Built the statement extraction pipeline, credit analytics, API and front end alone.
- 351,000+ transactions across 759 real statements in the regression corpus.
- Ledgers reconciled against the totals each bank prints on its own statements.
- 2024 to 2025
AI Solutions
Emeris- BrainTumorAI: 95%+ accuracy across 4,500+ MRI images.
- Cyber Sentinel: NLP security agent using GloVe and cosine similarity.
- 2023 to 2024
Sole Mobile App Developer
Cape Yacht Club- Overhauled the Tempus ecosystem with Flutter.
- Removed redundant systems and resolved outdated transitive dependencies.
- Redesigned the UI and cloned the existing infrastructure.
- 2023 to 2026
BSc Computer Science & Application Development
Emeris University- Specialising in application development, machine learning and security.
- Second place nationally, National SOCS Award, as a first-year student.
- 2018 to 2022
National Senior Certificate
Herzlia High School- Cape Town, South Africa.
03 · Selected Work12 projects
Products, models and the systems behind them.
A financial capture platform that turns a photograph of a receipt into reconciled, approved accounting data.
Line-item OCR reads merchants, dates, taxes, tips and individual items into structured fields: not a photograph filed away, but data a ledger can use.
Teams run on role-based workspaces: owners, managers, accountants and employees, with multi-tier approval workflows, per-employee spend reporting and shared workspace codes.
Eleven report types cover expense, category, profit & loss, tax, line-item and organisation breakdowns, exporting to Excel, PDF, CSV or a zipped archive.
Live on the App Store and Google Play, with direct sync into Xero and Sage.
It began as my National SOCS Award entry and placed second nationally.
FlutterDartFirebaseOCRLLMXero APISage API- 10,000+
- users on iOS, Android and web
- 50
- paying subscribers
- 11
- report types
- 2
- app stores live
Role: Founder · Principal Developer
Reads bank statement PDFs, rebuilds the ledger, reconciles it against the bank's own printed totals, and computes DSCR for underwriters.
Extraction runs one stage per request so it fits inside a 60-second serverless limit: a layout-aware text layer is built first, and any page without one escalates to Google Document AI, paged fifteen at a time with the resume position checkpointed against the document.
A regex row parser reads the ledger first; four layout readers (stacked-cell, column-major, column-stream and balance-less) plus cell repair take over where it cannot cope, re-anchoring rows against the statement's running-balance chain so a misread digit is caught by arithmetic rather than by a pattern.
Correctness is proven rather than asserted. Each bank's own printed opening balance, closing balance and, where the layout carries it, turnover are read back off the page and reconciled against the parsed ledger, resolving to one of eight statuses. A figure the statement never printed is never counted against it.
Every number a credit committee reads, from DSCR and CFADS to monthly net movement, is computed in a single module, and a lexical guard in the build fails if any other file re-derives one from a raw backend field.
Node.jsExpressReact 19Google Document AIGeminiSupabasepdf2jsonRecharts
- 351,495
- transactions in the regression corpus
- 99.58%
- row-to-row balance continuity
- 759
- real statements across 7 banks
- 43
- regression tests
Role: Sole engineer · Commercial lending client
The generalisation of the CapeFin engine into a product: region detection, layout parsing and self-verifying ledgers.
Where CapeFin was built around South African statement layouts, FinYang infers the country from the document itself, scoring currency codes, regulator boilerplate, bank domains, dialling prefixes and identifier shapes against a 68-country registry, and reporting low confidence rather than guessing when two regions score within three points of each other.
Five South African banks have dedicated layout readers; every other institution falls through to a generic ledger parser and is named from its own letterhead. A test fails the build if a borrower's name or a memorised figure ever appears in executable code.
The same self-verification idea carries over: a statement prints the totals its own ledger has to reproduce, and anything short of that publishes as PARTIAL or UNVERIFIABLE rather than as a clean result.
Node.js 22ExpressReact 19ViteSupabaseDocument AIGemini
- 68
- countries in the detection registry
- 182
- test suites
- 48
- API endpoints, one function
Role: Founder · Principal Developer
A South African software studio building a portfolio of AI and financial-automation products.
Founded AppCraft Studios (Pty) Ltd to design, build and ship products under one roof rather than one client engagement at a time.
Five products sit in the portfolio: Slip-Scan in production, with FinYang AI, CraveMatch, TripKit and AfriBush in development.
The studio also takes on select engineering work: cross-platform apps, cloud backends, bespoke models and design systems.
FlutterNext.jsPythonNodeGCPFirebase
- 5
- products
- 2025
- founded
- Pty Ltd
- registered
Role: Founder · Principal Developer
A fine-tuned 7B model that emits executable WebAssembly, verified symbolically before it runs.
Fine-tuned a 7B parameter language model on more than 28,000 synthetic samples to generate WebAssembly binaries.
A neuro-symbolic verification layer checks every output, achieving 100% compilation validity across the evaluation set.
PyTorchLLM Fine-tuningWebAssemblyPython
- 28k+
- training samples
- 100%
- compilation validity
- 7B
- parameters
Role: Research · Engineering
A physics-driven swipe deck that scores recipes against your taste vector and what is already in your fridge.
Every swipe recalibrates a taste vector, so the deck sharpens as you use it rather than reshuffling the same suggestions.
Recipes are scored by overlap with your pantry inventory, which turns 'what do I cook' into 'what can I cook without shopping'.
Draws on 797+ chef collections, from Gordon Ramsay and Jamie Oliver through to street food.
FlutterVector scoringNodeVercel
- 797+
- chef collections
- 30s
- to a decision
Role: Founder · Principal Developer
In-flight telemetry, itineraries and peer-to-peer games, all working with the Wi-Fi off.
Reads GNSS directly in airplane mode for altitude, ground speed and route ETA, with no connection at all.
Day-by-day itineraries pull live destination weather, gates and reservations while you still have signal, then keep working when you do not.
An offline lounge runs peer-to-peer multiplayer Rummikub and chess between passengers, plus a travel wallet for stacked boarding passes and eSIM data.
FlutterGNSSP2P networkingOffline-first
- 0
- Wi-Fi required
- P2P
- offline multiplayer
Role: Founder · Principal Developer
A sovereign wilderness operating system and the radio hardware to run it, where there is no signal at all.
Offline satellite navigation across Greater Kruger and the Mara: reserve GIS, roads and tracks rendered from vector tiles held on the device, with no connection expected at any point.
The ATLAS X1 unit carries a 15 km vehicle-to-vehicle LoRa mesh, so a convoy keeps position, telemetry and messaging between its own vehicles once the towers are gone.
Bush ID reads whisker-spot and trait patterns to identify individual animals from a photograph, and ten percent of proceeds is committed to anti-poaching work.
SwiftLoRa MeshOffline GISCoreML
- 15
- km mesh range
- 0
- signal required
- 10%
- to anti-poaching
Role: Founder · Principal Developer
A Temporal Fusion Transformer that forecasts crude oil direction from a decade of supply-chain signal.
Engineered a Temporal Fusion Transformer over ten years of multi-modal supply chain data to forecast WTI crude price direction.
The model reads tanker movement, inventory and macro series together rather than treating price as a lone time series.
PyTorchTemporal Fusion TransformerPandasTime Series- 10 yrs
- of market data
- TFT
- architecture
Role: Research · Engineering
A binary classifier trained on 4,500+ MRI scans to flag the presence of brain tumours.
Trained a binary logistic regression classifier on over 4,500 MRI images, reaching 95%+ accuracy on held-out data.
The pipeline handles preprocessing, feature extraction and evaluation end to end.
PythonOpenCVscikit-learnJupyter
- 95%+
- accuracy
- 4,500+
- MRI images
Role: AI Solutions · Emeris
A cybersecurity agent that reasons over language using edit distance, cosine similarity and GloVe.
Combined Levenshtein edit distance, cosine similarity and GloVe embeddings into a single scoring pipeline.
The result is an agent that recognises malicious intent phrased in ways a keyword filter would miss.
PythonNLPGloVeNumPy
- GloVe
- embeddings
- NLP
- threat scoring
Role: Engineering
Took over an ageing Tempus ecosystem and rebuilt it cross-platform, alone.
Overhauled the existing ecosystem, using Flutter to bring the club onto one cross-platform codebase.
Stripped out redundant systems, untangled outdated transitive dependencies, redesigned the interface and cloned the infrastructure for a safe cutover.
FlutterDartKotlinXMLFirebase
- Sole
- developer
- 2 yrs
- engagement
Role: Sole Mobile App Developer
04 · CapabilitiesFull stack, model to interface
One engineer, the whole stack.
Mobile, web, models and infrastructure. I ship products where every layer is mine, which is why they get finished.
Web
09Product surfaces that hold up in production.
ReactNext.jsJavaScriptHTMLCSSBlazorASP MVC.NETC#
AI / ML
08Models trained, fine-tuned and verified.
PyTorchTensorFlowOpenCVYOLOLLMRAGJupyterAnaconda
Backend
09The parts nobody sees and everybody depends on.
PythonFlaskDjangoNodeSQLRESTMongoDBSupabaseJava
Cloud & DevOps
05Deploy, automate, keep it running.
GCPAzureDockerN8NLinux
Security
04Ethical hacking as a discipline, not a hobby.
NmapReconHardeningLinux
05 · Case studySlip-Scan · AppCraft Studios
Enterprise ready
A photograph in, reconciled books out.
01OCR · On-device capture
Capture
Photograph a receipt or pull a batch from the gallery. Line-item OCR reads the merchant, date, tax, tips and every individual item, including handwritten totals and margin notes.
02Gallery · Filters · Tags
Organise
Everything lands in a searchable gallery, filterable by role, team member, vendor and date. Foreign currencies are detected automatically and receipts translate from over a hundred languages.
03Xero · Sage · Cloud sync
Reconcile
Approved expenses push straight into Xero and Sage from the phone itself, reconciled without a laptop, which as far as the market goes is a first.
0411 report types
Report
A business dashboard tracks spend, tax totals and top spenders across the workspace, with an AI assistant you can simply ask, and exports to Excel, PDF or CSV.
06 · Case studyCapeFinAI · Client engagement
Client engagement
A statement that proves its own ledger.
01Staged OCR · Document AI
Extract
A layout-aware text layer is built first. Any page without one escalates to Document AI, paged fifteen at a time and checkpointed so every request finishes inside a 60-second serverless limit.
02Layout readers · Balance chain
Parse
Where the row parser cannot cope, stacked-cell, column-major, column-stream and balance-less readers take over, re-anchoring rows against the running-balance chain, so a misread digit is caught by arithmetic rather than by a pattern.
03Printed totals · Eight statuses
Verify
The statement prints the totals its own ledger must reproduce. Anything short of a full match publishes as PARTIAL, OPENING-ONLY or UNVERIFIABLE, and a figure the bank never printed is never counted against the document.
04DSCR · CFADS · Cross-audit
Underwrite
CFADS, pre- and post-deal DSCR and twenty-one weighted conduct-risk indicators are computed deterministically, then a Gemini pass cross-audits the summary against the ledger totals.
Internal · commercial lending desk
07 · ContactOpen to work & collaboration
Have something worth building?
Phone+27 76 060 5261
Based inCape Town, South Africa