Amine Belkadi

Senior Staff Fullstack Software Engineer • Founder

I build and scale systems end-to-end. From founding products like TradeUI to architecting massive data infrastructures, I bridge the gap between complex engineering challenges and user-centric product design.

Engineering at Scale

Billion-Row Migration

Led a critical database migration involving billions of rows of historical and real-time data. Designed the ETL pipeline to ensure zero downtime and data integrity during the transition to a more scalable architecture.

  • PostgreSQL
  • ETL Optimization
  • High Availability

Real-Time Market Data Engine

Engineered a high-throughput financial data pipeline ingesting direct Nasdaq equity and options feeds. Integrated proprietary ML models to detect anomalies and institutional flow in milliseconds.

  • Event-Driven Architecture (EDA)
  • Worker Orchestration
  • Distributed Systems
  • WebSocket Streaming
  • Anomaly Detection

Quantitative Trading AI

Developed automated trading strategies leveraging Reinforcement Learning (PPO) and **XGBoost**. Built a custom backtesting engine to train agents on massive **ML datasets** for alpha generation.

  • Reinforcement Learning
  • XGBoost / CNN
  • Python

Tempo Analytics

Architected and built a complex analytics system from scratch. Developed the core engine to ingest, process, and visualize high-frequency data streams, enabling real-time decision making for end-users.

  • System Architecture
  • EDA / Stream Processing
  • Real-time Processing
  • Python/Node

Distributed Systems & Event Orchestration

Designed event-driven platforms where a thin API publishes domain commands onto Redis Streams, and competing consumer groups claim work across dedicated workers. Orchestrated multi-step job lifecycles with crash recovery via XAUTOCLAIM, dead-letter queues, heartbeats, and priority handoff—so long-running browser and ML agents stay resilient without coupling the control plane to execution.

  • Event-Driven Architecture (EDA)
  • Worker Orchestration
  • Redis Streams / Consumer Groups
  • Distributed Systems
  • DLQ / Crash Recovery
  • FastAPI / Playwright Workers

Multidisciplinary Impact

Beyond financial technology, I have architected and delivered complex products across a diverse spectrum of industries. My engineering footprint includes optimizing high-traffic Digital Publishing platforms, building enterprise-grade Automotive ADAS infrastructure, developing AI-driven Health & Fitness ecosystems, and engineering decentralized Blockchain solutions (Solana Smart Contracts & Tokens). This cross-domain expertise enables me to apply unique architectural insights to solve novel engineering challenges.

Ventures & Products

JobHired

An AI-powered job application platform that autofills and submits applications across Greenhouse, Ashby, Lever, Workday, LinkedIn Easy Apply, and other ATS boards. Users queue apply URLs; an LLM + Playwright agent discovers form fields, fills from their profile/resume, and verifies submission success.

Built on an event-driven architecture (EDA): the FastAPI layer stays thin—auth, quota, and job state—then publishes domain commands onto Redis Streams (`job.enqueued`, `job.run_requested`, `job.submit_requested`). Dedicated consumer groups claim those events; side streams handle mail and ops notify. Job lifecycle is orchestrated as a state machine (queued → dispatched → analyzing → filling → awaiting_confirmation → submitted), with crash recovery via XAUTOCLAIM, DLQ, and auto-retry.

Worker handoff: the API never drives the browser. Linux Playwright workers compete on the event bus, heartbeating while Chromium runs. Apply jobs take priority over scrape/ingest/shadow on the same bus; a worker claims an event, resolves the ATS provider adapter, runs analyze → LLM fill plan → scored submit engine (v2), then ACKs. Stuck or failed work is reclaimed and re-handed to a healthy worker—orchestration without tight coupling.

EDA / Redis StreamsWorker OrchestrationPlaywrightFastAPINext.jsLangChain / GroqClaude

TradeUI

A comprehensive platform for options flow and trading analytics. Built to democratize financial data, featuring real-time market scanning, AI-driven sentiment analysis, and complex visualization tools used by thousands of traders.

ReactPython FastAPIXGBoostML Data Pipelines

Gymfit.me

A fitness social network and management tool for trainers. Combines community features with workout tracking, enabling personal trainers to scale their business and clients to track progress effortlessly.

Social GraphMobile FirstCommunity Building

Technical Arsenal

AWS Certified Machine Learning - Specialty

* Short list, not exhaustive

Languages & Core

  • Python (FastAPI / Playwright)
  • TypeScript / JavaScript
  • Node.js
  • PHP (Laravel 12)
  • Go / Java

AI & ML Engineering

  • Claude (Anthropic)
  • LangChain / Groq (agent fill plans)
  • LLMs (Llama, GPT, Claude)
  • TensorFlow / PyTorch
  • XGBoost & CNNs
  • Reinforcement Learning (PPO)

Cloud & DevOps

  • AWS (ML Specialty)
  • Docker Compose (API + workers)
  • Kubernetes / Terraform
  • CI/CD Pipelines
  • Stripe Billing / PostHog

Frontend & Mobile

  • React 18 / Next.js 14
  • Tailwind CSS / D3.js
  • React Native / Flutter
  • Turborepo / Monorepos

Data & High Scale

  • Redis Streams (EDA / consumer groups)
  • MariaDB / PostgreSQL
  • Worker Orchestration / DLQ
  • Playwright Browser Automation
  • WebSockets / Real-time Streams

Focus Areas

  • Event-Driven Architecture (EDA)
  • AI Agent Orchestration
  • FinTech / Algorithmic Trading
  • SaaS Architecture
  • ATS / Browser Automation
© Amine Belkadi. All rights reserved.