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 Streams • Worker Orchestration • Playwright • FastAPI • Next.js • LangChain / Groq • Claude

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.

React • Python FastAPI • XGBoost • ML 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 Graph • Mobile First • Community 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.