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bilLkarkariy/README.md

Billel Helali

Senior Fullstack Engineer (TypeScript / Python) building production AI products, data systems, and high-performance web apps.

LinkedIn · Email · PixelLight


About

I build software end-to-end: product architecture, backend systems, frontend UX, and deployment.

My focus:

  • AI-enabled products (LLMs, agent workflows, generation pipelines)
  • Fullstack SaaS engineering (React/TypeScript + Python/Node)
  • Data & analytics infrastructure (event pipelines, attribution, reporting)
  • Reliable delivery (testing, CI/CD, maintainable architecture)

What I Build

  • AI product features that move business metrics (not demo-only AI)
  • Complex internal tools with clean UX and strong data integrity
  • Data pipelines that reconcile large, messy sources into usable systems
  • Automation systems for outbound, qualification, and operational workflows

Selected Projects

PixelLight (SaaS) — AI creative generation

  • Built a production SaaS to generate high-conversion visual assets
  • Designed agent-style generation workflows and prompt pipelines
  • Implemented fullstack architecture: React/TypeScript frontend + Python backend

Renov Ops — outbound and reply automation engine

  • Built a complete ops system for lead enrichment, email generation, queueing, and reply handling
  • Added quality gates, safety guardrails, and seed-only/prod controls
  • Stack: Python, SQLite, Streamlit, SendGrid APIs, LLM-based writer/verifier flows

AssurTech Data Platform (Seyna)

  • Designed and delivered data-heavy API/services and ingestion pipelines
  • Worked on serverless services and asynchronous processing at scale
  • Improved reliability and maintainability for business-critical workflows

SaaS Frontend Rebuild (Daspren)

  • Led a full frontend rebuild with Vue 3 + TypeScript
  • Migrated from high debt to modular architecture
  • Improved performance, UX consistency, and release quality

Engineering Principles

  • Clear architecture over short-term hacks
  • Measurable outcomes over feature volume
  • Fast iteration with strong guardrails
  • Production quality from day one

Current Focus

  • AI agents in real production workflows
  • Fullstack product missions (freelance/contract)
  • Data-intensive systems with business impact

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