AJ
Boot · 0.0.1Sydney
Adam Jarick
01 / 05·PROLOGUE

AdamJarick.

Builds software for the Building Commission at NSW DCS.

Scroll to enter
001 / About

Hey. I'm Adam, a software engineer based in Sydney.

I'm Adam, a Software Engineer based in Sydney with a double degree in Software Engineering (Honours) and Cyber Security from Macquarie University. I build things at the intersection of AI, full-stack development, and cloud infrastructure.

Currently at the NSW Department of Customer Service, I'm building software solutions for the Building Commission. Previously at Apate.AI I architected and deployed anti-scam systems processing thousands of messages daily across WhatsApp, Telegram, and email, and before that I built voice authentication neural networks at Webschool.au.

When I'm not shipping for the Building Commission, I'm training poker AI to play Nash equilibrium strategies or tinkering with whatever catches my interest next.

002 / Track Record

The track record.

Apr 2026 → Now

Software Engineer

NSW Department of Customer Service · Sydney, NSW
  • Building software solutions for the Building Commission to streamline regulatory and compliance workflows for the construction sector.
  • Working across data pipelines, investigative tooling and case-management systems to support frontline officers and policy teams.
  • Full Azure stack: Azure DevOps for CI/CD, Azure Databricks for data engineering, Azure Data Factory for orchestration, and i2 iBase for intelligence analysis.
Buildingcommission
Govtier reliability
AzureDevOps · Databricks · ADF
TypeScriptPythonAzureAzure DevOpsAzure DatabricksAzure Data Factory
Oct 2024 → Apr 2026

Software Engineer

Apate.AI · Town Hall, NSW
  • Architected and deployed an enterprise-grade anti-scam WhatsApp bot, Telegram Bot and Email bot using TypeScript, WebSocket manipulation, and OpenAI GPT, processing 1,000+ messages daily across multiple client deployments.
  • Developed comprehensive REST API backend with Hono framework and Prisma ORM, featuring multiple endpoints for chat management, bot configuration, and real-time state monitoring with PostgreSQL database integration.
  • Implemented sophisticated AI-powered content analysis system detecting financial scams, cryptocurrency fraud, and sensitive data exposure using multi-modal OpenAI vision and text analysis.
1,000+messages/day
Enterpriseclient deployments
Multi-cloudAWS · Azure · GCP
TypeScriptReactNode.jsDockerKubernetesAWS
Jun 2025 → Nov 2025

AI Engineer Intern

Webschool.au · Macquarie, NSW
  • Architected and built a Voice Authentication Neural Network for a platform with the purpose of two-factor authentication, breaking down business objectives into actionable tasks using Agile methodologies.
  • Utilised the PyTorch library to create a Siamese Neural Network which compared two sets of voices to authenticate if they were the same voice for login purposes, using the VoxCeleb database for training with an input of 13 Mel-frequency cepstral coefficients per audio frame and cosine similarity.
  • Deployed on the company's portal, interweaving its functionality with existing infrastructure.
PythonPyTorchAzureDocker
2021 → 2025

B.Sc Software Eng (Hons) & Cyber Sec

Macquarie University · Sydney
  • Double degree, graduating with First Class Honours in Software Engineering alongside a Bachelor of Cyber Security.
  • Honours thesis: AI Co-Pilot, a Chrome extension delivering personalised learning recommendations from quiz performance and engagement signals.
  • Built a Deep CFR poker agent on the side that converges toward Nash equilibrium.
AlgorithmsCryptographyNetworksMLDistributed Systems
003 / Toolkit

The toolkit.

001
PythonLanguages
002
TypeScriptLanguages
003
JavaScriptLanguages
004
RustLanguages
005
ScalaLanguages
006
SQLLanguages
007
DartLanguages
008
HTMLLanguages
009
CSSLanguages
010
ReactFrontend
011
Next.jsFrontend
012
Vue.jsFrontend
013
FlutterFrontend
014
TailwindFrontend
015
MUIFrontend
016
Three.jsFrontend
017
ElectronFrontend
018
FigmaFrontend
019
Node.jsBackend
020
ExpressBackend
021
DjangoBackend
022
FlaskBackend
023
HonoBackend
024
BunBackend
025
REST APIsBackend
026
JWTBackend
027
WebSocketsBackend
028
ResendBackend
029
PostalBackend
030
KeycloakBackend
031
PostgreSQLData
032
SQLiteData
033
MongoDBData
034
DynamoDBData
035
DatabricksData
036
i2 iBaseData
037
PrismaData
038
DrizzleData
039
RedisData
040
PineconeData
041
ClickHouseData
042
FirebaseData
043
PyTorchData
044
BurnData
045
ValkeyData
046
DockerDevOps
047
KubernetesDevOps
048
AWSDevOps
049
AzureDevOps
050
GCloudDevOps
051
TerraformDevOps
052
GitHub ActionsDevOps
053
ArgoCDDevOps
054
HelmDevOps
055
GrafanaDevOps
056
DatadogDevOps
057
CloudflareDevOps
058
JestDevOps
059
PlaywrightDevOps
004 / The Work

The work.

PRJ/01 · OPENGTO · LIVEPOT 4.0 BB
You are BTN · ButtonAKo · vs 2.5BB open
Pot
4.0
UTG
HJ
CO
SB
BB
A
K
Hand 1 / 7
PRJ / 01

OpenGTO.

Neural network-powered poker preflop trainer converging toward Nash equilibrium.

Deep Counterfactual Regret Minimisation (Deep CFR) with three networks self-playing across 20K+ training iterations. 317-D feature vector, 8-stage curriculum learning, weighted reservoir sampling over 5M+ samples. Cross-platform Electron desktop app with interactive table, live GTO feedback, and a Range Viewer for all 169 starting hands.

  • 20K+training iters
  • 5M+samples
  • 317-Dfeature space
  • 169hand ranges
PyTorchDeep CFRReactElectronFlaskONNX
CSA Co-Pilot

Hello!
Welcome to the CSA Co-pilot.

Please login using your student ID to get started.

Enter your Student ID
PRJ / 02

AICo-Pilot.

Chrome extension turning learning analytics into personalised recommendations.

Honours thesis project. Reads quiz scores, engagement time, skipped lessons and link clicks from SCORM and Moodle, then surfaces personalised LLM-driven recommendations through a Chrome extension. Demonstrated lift in student engagement and module completion.

  • 2LMS platforms
  • +22%engagement
  • Honoursthesis
  • 4person team
JavaScriptChrome APIsSCORMMoodleLLMREST APIs
005 / Ground

Let's build something.