Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm Aziz Amari, an AI Engineer with a passion for turning complex data into actionable insights across finance, space, and software. I design scalable ML/AI pipelines, build robust MLOps, and deliver production-grade solutions in Azure, often working remotely with cross-functional teams. Over the years I have contributed to financial intelligence platforms, computer vision and NLP initiatives, and AI-driven SaaS products, always focusing on reliability, performance, and measurable impact.…I'm Aziz Amari, an AI Engineer with a passion for turning complex data into actionable insights across finance, space, and software. I design scalable ML/AI pipelines, build robust MLOps, and deliver production-grade solutions in Azure, often working remotely with cross-functional teams. Over the years I have contributed to financial intelligence platforms, computer vision and NLP initiatives, and AI-driven SaaS products, always focusing on reliability, performance, and measurable impact.

Aziz Amari

AI Engineer, Data Scientist, AI Developer, +2





I'm Aziz Amari, an AI Engineer with a passion for turning complex data into actionable insights across finance, space, and software. I design scalable ML/AI pipelines, build robust MLOps, and deliver production-grade solutions in Azure, often working remotely with cross-functional teams. Over the years I have contributed to financial intelligence platforms, computer vision and NLP initiatives, and AI-driven SaaS products, always focusing on reliability, performance, and measurable impact.…I'm Aziz Amari, an AI Engineer with a passion for turning complex data into actionable insights across finance, space, and software. I design scalable ML/AI pipelines, build robust MLOps, and deliver production-grade solutions in Azure, often working remotely with cross-functional teams. Over the years I have contributed to financial intelligence platforms, computer vision and NLP initiatives, and AI-driven SaaS products, always focusing on reliability, performance, and measurable impact.

Available to hire

I’m Aziz Amari, an AI Engineer with a passion for turning complex data into actionable insights across finance, space, and software. I design scalable ML/AI pipelines, build robust MLOps, and deliver production-grade solutions in Azure, often working remotely with cross-functional teams.

Over the years I have contributed to financial intelligence platforms, computer vision and NLP initiatives, and AI-driven SaaS products, always focusing on reliability, performance, and measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Large Language Models

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Engineer at Lameh.ai

January 1, 2025 - November 15, 2025

Built a financial intelligence platform for public equity companies, focusing on due diligence and financial statements compliance. Analysis pipelines deployed on Azure capable of identifying regulatory inconsistencies and compliance risks. Designed scalable data ingestion and validation workflows for financial reporting documents.

AI Engineer at Ubotica Technologies

December 31, 2025 - December 31, 2025

Optimized a computer vision pipeline to justify running 6 cameras in parallel for wider coverage. Benchmarked hardware on RockChip, MyriadX, and RISC-V platforms. Proposed a GNN for star identification, cutting attitude estimation from seconds to under 1 second • Published at the SPAICE Conference by ESA and won Best Research Award from the UAE Space Agency.

AI Engineering Intern at LegalPlace

December 31, 2022 - December 31, 2022

Worked on a AI Content Creation tool as a SaaS solution. Accelerated content generation speed by 70% using a clustering-assisted RAG pipeline.

AI Engineer at Contractor Replica AI

May 31, 2025 - May 31, 2025

Designed and deployed a distributed inference server using Kubernetes on Azure (AKS), Celery, and 8 Tesla A100 GPUs. Achieved a 3.4x improvement in inference speed and reduced GPU utilization by 50%. Optimized, fine-tuned state-of-the-art, and benchmarked Stable Diffusion and Vision Transformer models.

AI Engineer at Lextract GmbH

June 30, 2025 - June 30, 2025

Built generative AI systems for legal tech, focusing on M&A case document analysis and automation. Improved system reliability by implementing hallucination detection and large language model monitoring. Led product development and established a robust MLOps pipeline using Azure DevOps for scalable deployment and experimentation.

AI Researcher at Dar Al-Hekma University

June 30, 2025 - June 30, 2025

Conducting a research project in NLP to map and analyze cybersecurity standards across various frameworks. Developing methods to automatically identify contradictions, similarities, and gaps between security standards using semantic analysis on Azure. Building ontologies and structured knowledge bases with support for comparison, reasoning, and standard alignment.

Software Engineer at Taheiya

April 30, 2025 - April 30, 2025

Developing and deploying a modern accounting software tailored for business needs on, with a focus on scalability and reliability. Optimized context management across the application, improving state handling and reducing memory overhead. Developed core AI features, including document parsing, knowledge representation, and evaluation frameworks on Azure. Designed and maintained production AI services on Azure with a focus on scalability and reliability.

AI Engineer at RFxAI

January 1, 2025 - January 1, 2025

Developed core AI features, including document parsing, knowledge representation, and evaluation frameworks. Built and deployed MVPs for prospects, showcasing AI capabilities to drive business growth. Designed and maintained production AI services with a focus on scalability and reliability.

AI Engineer at Chat Automation S.r.l

January 1, 2025 - January 1, 2025

Built a complete AI SaaS platform for chatbot creation using LLMs and RAG on Azure, enabling advanced and customizable conversational experiences. Developed integrations with platforms like Shopify and WhatsApp, expanding functionality and user reach. Designed, implemented, and deployed the frontend, backend API, and infrastructure on Azure for seamless and scalable performance.

Software Engineer at Ministry of Culture – Qatar

January 1, 2025 - January 1, 2025

Developed and deployed two interactive AI platforms on Azure showcased at the Doha International Book Fair. Built an AI-powered animation system that brought 14 traditional Qatari games to life through generative media, preserving cultural heritage in an engaging digital format. Created an immersive AI-driven photobooth experience that virtually transported users to iconic locations across Qatar using background generation and smart scene composition.

AI Engineer at Smedtec Ltd.

January 1, 2025 - January 1, 2025

Managing a team of 4 freelance engineers to build an FDA Medical Devices AI-powered platform. Developing scalable and complete solution and overseeing the process from diagramming to deployment.

AI Researcher at Avidea

January 1, 2025 - November 15, 2025

Analyzing 50,000 auto insurance claims to address the 20% fraud rate in Tunisia. Developing a fraud detection module for six leading insurance firms’ ERP systems, deployed on Azure. Using data mining and network analysis to detect suspicious claim networks.

AI Researcher at IEEE

December 31, 2024 - December 31, 2024

Implementation of a deep learning approach for invoice validation on Azure. Managing a team of 7 ML and MLOps interns to set up the production pipeline using Azure DevOps.

AI Engineer at Gaibian

April 30, 2023 - April 30, 2023

Developed a Real-Time Evaluation and Monitoring Framework for RAG pipelines on Azure. Implemented over 20 metrics to detect issues such as hallucination, incorrect answers, and insufficient context.

AI Engineer at Ubotica Technologies

January 1, 2025 - January 1, 2025

Optimized a computer vision pipeline to justify running 6 cameras in parallel for wider coverage. Benchmarked hardware on RockChip, MyriadX, and RISC-V platforms. Proposed a GNN for star identification, cutting attitude estimation from seconds to under 1 second. Published at the SPAICE Conference by ESA and won Best Research Award from the UAE Space Agency.

AI Researcher at IEEE

July 1, 2024 - July 1, 2024

Implementation of a deep learning approach for invoice validation on Azure. Managing a team of 7 ML and MLOps interns to set up the production pipeline using Azure DevOps.

AI Engineer at Gaibian

April 1, 2023 - April 1, 2023

Developed a Real-Time Evaluation and Monitoring Framework for RAG pipelines on Azure. Implemented over 20 metrics to detect issues such as hallucination, incorrect answers, and insufficient context.