
Adil Al-Tameemi
@adilal-tameemi
I build AI-powered automation, data systems, and full-stack business applications.
What I'm looking for
I build AI-powered automation pipelines, data systems, and full-stack applications that turn business requirements into reliable technical solutions.
At Elci Solutions in Dubai, I built AI-driven workflows for content processing, data routing, validation, and publishing using Make and n8n. I also developed frontend and backend services with Python, React, FastAPI, Node.js, APIs, and databases.
As a freelancer, I delivered an end-to-end AI-powered WhatsApp agent that handled customer inquiries, recommendations, and orders through LLMs, WhatsApp Business APIs, backend services, and databases. I also built AI business web applications, automated integrations, and provided practical AI training for business use cases.
My data work includes reducing database inconsistencies by 99% at SSDSC, improving sentiment-analysis classification accuracy by 70% at Statista, and developing GenAI models that improved classification accuracy by 78%.
Experience
Work history, roles, and key accomplishments
Automation & AI Workflow Engineer
Elci Solutions
Feb 2026 - Jul 2026 (5 months)
Built AI-driven automation pipelines for content processing, data routing, validation, and publishing workflows using Make and n8n. Developed frontend and backend services with API integrations and databases using Python, React, Tailwind CSS, FastAPI, Node.js, Hostinger, and Dokploy.
AI & Automation Engineer, Full-Stack Developer, AI tutor
Freelancer
Mar 2025 - Jan 2026 (10 months)
Designed, developed, and deployed end-to-end AI-powered WhatsApp agent integrating LLMs, WhatsApp Business APIs, backend services, databases, and business logic. Designed and deployed AI-powered business web applications integrating LLM APIs and REST APIs with relational databases in Supabase/TablePlus with Postgres and SQL.
Data Specialist Intern
SSDSC
Mar 2024 - Jun 2024 (3 months)
Implemented data-validation protocols that reduced database inconsistencies by 99%. Redesigned the company's inventory database structure, reducing data access time by more than 50%.
Contributed to development of an NLP-based sentiment analysis agent, improving classification accuracy by 70%. Enhanced data extraction speed from web archives by more than 60% using optimized web scraping and data processing techniques.
Education
Degrees, certifications, and relevant coursework
University of Europe for Applied Sciences
Bachelor of Science, Digital Business & Data Science
Grade: 94.7/100, with distinction
B.Sc. in Digital Business & Data Science with a final grade of 94.7/100, with distinction.
Al-Anbar University
Bachelor of Engineering, Civil Engineering
B.Eng. in Civil Engineering, degree fully recognized by the Architects and Engineers Chamber, Schleswig-Holstein, Germany.
Availability
Location
Authorized to work in
Salary expectations
Skills
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