Ali Al-Taweel

Available to hire

I’m Ali Al-Taweel, a systems engineer focused on building scalable full-stack platforms and production-grade GenAI solutions.

About

I’m Ali Al-Taweel, a systems engineer focused on building scalable full-stack platforms and production-grade GenAI solutions. I enjoy turning complex requirements into reliable architectures—connecting modern web frontends with containerized Python backends, designing clean APIs, and ensuring everything is well-tested, observable, and maintainable.

I also specialize in practical AI engineering: orchestrating agentic workflows, building RAG/vector search pipelines, and optimizing LLM costs and latency. From GDPR-aware preprocessing (privacy scrubbing and reversible pseudonymization) to regression evaluation suites that benchmark routing accuracy and performance, I aim to ship intelligent systems that stay robust under real-world constraints.

  • Joined April 2026

Languages

  • EnglishFluent
  • ArabicFluent
  • FinnishIntermediate

Industry experience

  • Software & Internet
  • Manufacturing
  • Professional Services
  • Media & Entertainment
  • Computers & Electronics
  • Education
  • Telecommunications

More experts in Helsinki, Finland

Projects · 1

This project is an Enterprise Autonomous AI Orchestration & Evaluation Pipeline designed for customer support.

A concise overview of its architecture and capabilities:

Core Capabilities
Hybrid Routing Engine: Uses a fast-track heuristic router to bypass the LLM for simple queries (resulting in <0.1s response latency) and redirects complex requests to a Google Gemini-powered Unified Agent with native function-calling capabilities.
Privacy & Compliance (GDPR): Features a PrivacyScrubber interceptor layer that reversibly pseudonymizes PII (names, addresses, phone numbers) before data is sent to external LLM endpoints.
Automated Evaluation Suite: Includes a python-native benchmarking suite to run regression testing against adversarial inputs to guarantee routing accuracy, safety, and latency standards.
Real-time Observability: Emits detailed JSON telemetry metrics mapping token usage, agent execution paths, and tool latency.
B2B SaaS Multi-Tenancy: Designed with PostgreSQL Row-Level Security (RLS) and namespaced vector databases to support data isolation between multiple client organizations.
Tech Stack
Backend: FastAPI (Python), Google AI SDK (Gemini Flash), FAISS Vector Index (RAG).
Frontend/Admin: Next.js (TypeScript, Tailwind/Shadcn, Framer Motion) featuring an e-commerce customer interface and an administrative analytics dashboard.
Data & Infrastructure: Supabase PostgreSQL, Docker / Docker-Compose, and AWS EC2.

Luxe Catalog
  • 1st Assistant Director

Work experience· 4 roles

Independent AI Engineer & Full-Stack DeveloperOct 2025 – Present · 1 yr 2 mos

Architected and deployed a multi-tier Luxe B2B SaaS platform spanning a Next.js 15 frontend (AWS Amplify), a containerized FastAPI backend (Docker/Nginx on AWS EC2), and a PostgreSQL database with pgvector. Implemented GDPR & Responsible AI controls by building a Python privacy-scrubber middleware using Microsoft Presidio and regex-based handling to reversibly pseudonymize PII (e.g., names, emails, and physical addresses) before routing queries to external LLM endpoints. Optimized LLM latency and cost by building an in-flight pre-LLM heuristic routing engine that resolves simple intents in under 100ms, reducing GPU/API overhead by about 70%. Developed an MLOps-style Python regression evaluation suite to continuously benchmark agent routing accuracy, latency (sub-5 seconds), and token cost. Designed multi-tenant isolation patterns using vector namespace separation and secure embeddable iframe widgets protected by domain-guarding CORS verification.

Full-Stack Developer (Internship) · Tutors OyApr 2025 – Oct 2025 · 7 mos

Technical Leadership: spearheaded a team of 4, overseeing architectural design and code reviews for a web platform built with React and Tailwind CSS.

Assembly Operations & Quality Control · Valmet AutomotiveDec 2017 – Feb 2022 · 4 yrs 3 mos

Ensured 100% compliance with strict quality and safety standards in a high-volume, precision-critical production environment. Collaborated in cross-functional teams to optimize workflow efficiency and ensure robust hardware-software integration.

R&D Engineering Trainee · Nokia Solutions and NetworksJun 2016 – Aug 2016 · 3 mos

Education· 12

Diploma in Full-Stack Web Development · Business College Helsinki2024 – 2025
Master’s Degree in Information Technology · Guru Gobind Singh Indraprastha University2008 – 2011
B.S. in Computer and Information Engineering · Mosul University2003 – 2007
Diploma, Full-Stack Web Development · Business College Helsinki2024 – 2025

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