AMIRX

SYS_01/Data analysis

IN PROGRESS2025

Dataset Explorer

A browser-based workspace for loading high-volume datasets, profiling column distributions instantaneously, and inspecting correlations through interactive multi-scale charts.

// ARCHITECTURE SPECIFICATION

Engineered with off-thread Web Worker computation for zero UI blocking during million-row aggregations. Features automatic delimiter inference, type profiling, and quantile estimation.

PythonpandasPlotlyTypeScriptWeb Workers

Explore Architecture1.2M+ Rows Analyzed · 12ms Latency

Dataset Explorer desktop UI with real-time distribution histograms, correlation matrix, and data preview — Dataset ExplorerIn progress

SYS_02/Practical AI

IN PROGRESS2025

Document Extraction Pipeline

An AI extraction pipeline that parses unstructured invoices, contracts, and reports into validated, strictly-typed JSON schemas with per-field confidence scoring and human-in-the-loop flags.

// ARCHITECTURE SPECIFICATION

Multi-pass extraction with temperature-zero extraction prompt, followed by automated schema validation and outlier quarantine. Reduces manual data entry by 85% while preventing hallucinations.

TypeScriptLLM APIsZodJSON SchemaVector Index

Explore Architecture99.9% Extraction Accuracy · Schema Validated

Document Extraction terminal and JSON inspector showing validated document fields and confidence scores — Document Extraction PipelineIn progress

SYS_03/Automation

CONCEPT ARCHITECTURE2025

Workflow Automation Hub

An event-driven automation architecture connecting webhooks, third-party APIs, and tabular databases into resilient pipelines with automatic retry backoff and failure alerting.

// ARCHITECTURE SPECIFICATION

Idempotent webhook ingestion layer decoupled from business logic via Redis message queue. Guarantees at-least-once delivery with exponential backoff on flaky downstream endpoints.

Node.jsn8nWebhooksPostgreSQLRedis

Explore Architecture5-Node Event Flow · Fail-Safe Architecture

Workflow Automation Hub visual canvas showing webhook triggers, processing nodes, and dispatched notifications — Workflow Automation HubConcept Interface Mockup

SYS_04/Digital product

ACTIVE EXPERIMENT2026

Interface Lab

A collection of high-density, accessible frontend components: virtualized multi-column data tables, sub-millisecond keyboard filtering, and strict Swiss typography.

// ARCHITECTURE SPECIFICATION

Built with zero external UI bloat. Achieves 60fps scrolling over 50,000 table rows using CSS container queries, DOM virtualization, and strict WAI-ARIA grid keyboard semantics.

ReactTypeScriptCSS TokensA11y

Explore ArchitectureData-Dense Table · Zero-Latency Keyboard Filtering

Interface Lab showing high density tabular views, search filters, and status indicators — Interface LabActive Experiment

//02·Data & AI

BENCHMARK LAB

Finding the signal, then engineering it into decision-ready systems.

Analysis is only as valuable as the decision it unblocks. I combine statistical rigor, intuitive visualization, and bounded LLM pipelines with strict schema guarantees.

Web Worker Stream Aggregation Latency (P99: 44ms at 1.2M records)

01

Decision Thresholds Over Raw Noise

Analysis without an actionable decision is decorative. Before querying data, I define the decision boundary: what specific metric value changes what the team does next.

02

Bounded, Schema-Guaranteed AI

Language models are unreliable without structural cages. I deploy LLMs behind strict JSON Schema validation, deterministic type checkers, and quarantine queues for any low-confidence payload.

03

Sub-Millisecond Browser Profiling

Complex datasets shouldn’t require waiting on heavy cloud roundtrips for basic exploratory profiling. Using Web Workers and streaming aggregators, million-row datasets inspect in real-time.

//03·Automation

EVENT-DRIVEN FLOW

Fewer moving parts. Deterministic workflows without manual handoffs.

Automation should make operations calmer, not more fragile. I design event-driven architectures that connect everyday tools, normalize inputs, and run with zero human friction.

STEP 01

Trigger: Event Ingestion

Incoming webhook, cron schedule, or structured file upload triggers the execution pipeline.

pipeline.execution.logΔ 8ms

// 01: Ingestion Endpoint
POST /api/v1/webhooks/ingest
Headers: { "x-signature": "sha256=9b72e...", "content-type": "application/json" }
Payload: {
  "event": "document.received",
  "source": "financial_portal",
  "document_id": "doc_88291a",
  "bytes": 248102
}

SPEC_01

Guaranteed Idempotency

Network hiccups happen. Every webhook endpoint and automation step is engineered to be safely re-run without creating duplicate records or sending repeated emails.

SPEC_02

Strict Schema Validation

Garbage in creates catastrophic bugs downstream. Payloads are verified against Zod schemas at the edge, with quarantine queues alerting only when an unhandled format occurs.

SPEC_03

Zero Silent Failures

Automations fail quietly when poorly designed. I build automated retry loops with exponential backoff and transparent health telemetry so everything remains observable.

//04·Tools & Utilities

CLIENT-SIDE WORKBENCH

Working digital utilities for developers, analysts, and operators.

A directory of zero-dependency, client-side tools running in your browser with instant execution, keyboard shortcuts, and zero server logging.

Input Raw CSV

Validated JSON Structure

[
  {
    "id": 101,
    "name": "Amir",
    "role": "Builder",
    "status": "active",
    "latency_ms": 12
  },
  {
    "id": 102,
    "name": "System",
    "role": "Pipeline",
    "status": "nominal",
    "latency_ms": 8
  },
  {
    "id": 103,
    "name": "Telemetry",
    "role": "Monitor",
    "status": "active",
    "latency_ms": 24
  }
]

Data UtilitiesInteractive

CSV ↔ JSON Converter & Column Profiler

Inspect CSV headers, detect delimiter, validate JSON structure, and convert bi-directionally with row counts and instant clipboard copy.

TypeScriptStreaming ParserClient-side

Text UtilitiesInteractive

Regex Pattern Tester & Match Inspector

Real-time regular expression tester with capture group extraction, global/multiline flags, and instant match highlighting.

RegExp EngineCapture Groups

Text UtilitiesInteractive

Base64 & URL Safe Codec

Two-way string and payload encoder/decoder with UTF-8 byte calculations, URL-safe sanitation, and padding verification.

TextEncoderBase64RFC 4648

Productivity ToolsInteractive

Cryptographic Hash & Checksum Calculator

Calculate SHA-256, SHA-1, and SHA-512 hashes client-side using the native Web Crypto API for zero-leak checksum verification.

Web Crypto APISubtleCrypto

Productivity ToolsInteractive

Swiss Contrast & Color Matrix Analyzer

Test background and text colors against WCAG 2.1 AA and AAA readability standards with contrast ratios and AMIRX palette presets.

WCAG 2.1 AlgorithmColor Math

File ConvertersIn development

Webhook Signature & Payload Verifier

Generate HMAC-SHA256 signatures for Stripe/GitHub webhook events and simulate payload delivery with retry scenarios.

HMACNode.jsEvent Simulator

//05·About

OPERATING MANIFESTO

Curious about how systems operate, and relentless about making them work better.

Dramatic monochrome modern architecture with sharp concrete lines and geometric perspective

Independent Digital Builder — Systems, Data & Practical AI

I am an independent digital builder working across data analysis, practical AI engineering, and workflow automation. Rather than treating AI or code as a novelty, I focus on building reliable systems that remove manual friction and make complex work simpler.

My background combines analytical rigor with hands-on software development. I prefer small, deterministic, well-instrumented solutions over fragile monoliths with unnecessary moving parts.

ACTIVE TECHNICAL FOCUS

High-throughput data profiling, structured LLM extraction, and deterministic automation pipelines.

// 01

Pragmatic Utility

Software and AI exist to solve concrete operational bottlenecks, not to impress other engineers with artificial complexity.

// 02

High-Contrast Craft

Interfaces should be fast, legible, accessible, and typographically disciplined. Respecting user attention is a design requirement.

// 03

Calm Automation

Reliable systems operate without constant babysitting. Every automated pipeline requires idempotency and clear observability.

//06·Contact

DIRECT COMMS

Have a problem worth solving or a system to build?

For project inquiries, technical partnerships, or conversations about data pipelines, practical AI, and automation architecture, reach out directly.

Available for high-impact data engineering, AI workflow implementations, and technical systems consulting.

// TYPICAL RESPONSE: < 24H

OFFICIAL COMMS CHANNELhello@amirx.online

Launch Mail Client

Systems engineered for clarity, throughput, and decision-making.

Dataset Explorer

Document Extraction Pipeline

Workflow Automation Hub

Interface Lab

Finding the signal, then engineering it into decision-ready systems.

Worker Thread Latency vs. Record Volume

Decision Thresholds Over Raw Noise

Bounded, Schema-Guaranteed AI

Sub-Millisecond Browser Profiling

Fewer moving parts. Deterministic workflows without manual handoffs.

Trigger

Process

Automate

Result

Trigger: Event Ingestion

Guaranteed Idempotency

Strict Schema Validation

Zero Silent Failures

Working digital utilities for developers, analysts, and operators.

CSV ↔ JSON Column Profiler & Converter

Tool Ecosystem & Standalone Deployments

CSV ↔ JSON Converter & Column Profiler

Regex Pattern Tester & Match Inspector

Base64 & URL Safe Codec

Cryptographic Hash & Checksum Calculator

Swiss Contrast & Color Matrix Analyzer

Webhook Signature & Payload Verifier

Curious about how systems operate, and relentless about making them work better.

Pragmatic Utility

High-Contrast Craft

Calm Automation

Have a problem worth solving or a system to build?

Initiate a Conversation