Lorenzo Azar, Developer in Dubai, United Arab Emirates
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Lorenzo Azar

Verified Expert  in Engineering

Software Engineer and AI Developer

Dubai, United Arab Emirates
Toptal Member Since
April 29, 2022

Lorenzo is a senior software engineer experienced in building robust and scalable applications. He has worked at BMW Innovation Labs, CynaxLabs, DP World, Interjoin, and Deloitte, where he took responsibility for finding solutions to emerging challenges and implementing them seamlessly. With a background in mechanical engineering, Lorenzo is a critical thinker and a skillful software and AI developer eager to embrace new experiences.


Amazon Web Services (AWS), Python 3, Flask, React, Web Project Management...
Python 3, Docker, Azure, REST, API Integration, Artificial Intelligence (AI)...
MySQL, Databases, Microsoft Power BI, Back-end, Back-end Development...




Preferred Environment

Python 3, Docker, Linux, Windows, SQL, Microsoft Power BI, Git

The most amazing...

...ecosystem I've developed is AiPOD which includes AI/CV components deployed in a Dockerized Flask app that gives the score of a person identified on camera.

Work Experience

Chief Technology Officer

2022 - PRESENT
  • Managed the team to create the Interjoin Teach web app. This application connects teachers and students and lets them have online sessions on the same platform. The front end was developed in React while I built the back end using Python and Java, and AWS for DevOps.
  • Designed the scalable solution of the app, including the user journey (the student or teacher), booking process, sessions management, KYC, sessions web hosting, reviews, admin panels, agencies integration, etc.
  • Oversaw the launch procedure, worked on the main features implementations design, deployed the main application using Amazon EC2, Elastic Load Balancing (ELB), Docker, and Flask, and continuously reviewed the codes before being pushed.
Technologies: Amazon Web Services (AWS), Python 3, Flask, React, Web Project Management, Docker, CTO, Leadership, API Integration, Architecture, Databases, Scalable Web Services

Software Engineer | AI Consultant

2021 - PRESENT
  • Designed and developed the back-end architecture of the main web app using Python, Flask, Docker, PostgreSQL, and Azure.
  • Created the pools and tokens risk score (and highlight) algorithm using Python, which continuously helps the team make better-calculated decisions.
  • Reduced the processing time required to near real-time by implementing a new data structure, database models, and autonomous integration with third-party API providers.
Technologies: Python 3, Docker, Azure, REST, API Integration, Artificial Intelligence (AI), Automation, Leadership, Architecture, Databases, Pandas

Senior Back-end Developer

2023 - 2023
  • Worked with the team to create the app's architecture based on the client's requirements.
  • Developed the Python back end for both the admin dashboards and the public web apps.
  • Created the AWS services and deployed both staging and production environments, i.e., EC2, S3, RDS - Aurora Postgres DB, Cognito, SES, Secrets, Amplify, and Docker.
Technologies: MySQL, Databases, Microsoft Power BI, Back-end, Back-end Development, Integration, Connected Cars, Node.js, Leadership, API Integration, Architecture, Scalable Web Services, Amazon Web Services (AWS)

Python/API Developer

2023 - 2023
Tula, LLC
  • Developed a Python Flask app that acts as an API hub for the front end requests.
  • Developed a worker that takes requests and processes documents pre-stored in Amazon S3 to understand its content and store it as vectors for future context cosine similarities comparison.
  • Supported the AWS deployment of the app using Docker, ECS, and Aurora PostgreSQL.
Technologies: APIs, Python, API Development, API Design, Amazon Web Services (AWS), Flask, AWS Lambda, Flask-RESTful, Large Language Models (LLMs), Pinecone, OpenAI, Architecture, Databases, Redis, Scalable Web Services, ChatGPT, Generative AI, Pandas

Senior Python 3.0 and Flask Back-end Engineer

2022 - 2022
Poolit, Inc
  • Developed the Poolit web application, a fintech app that works with alts investment.
  • Developed the analytics tracking required for the app and integrated with a 3rd-party KYC provider.
  • Implemented better coding practices for the app and the changes required for an extensible and scalable database modeling.
Technologies: Python, Flask, SQLAlchemy, Docker, Amazon EC2, API Integration, FastAPI, Celery, Databases, Scalable Web Services

Senior Digital Assurance Solutions Specialist

2021 - 2022
DP World
  • Created and implemented a pipeline in Python that analyzes historical data and generates fraud risk assessment scores based on geographical locations to maintain priorities.
  • Implemented autonomous ETL pipelines using Python and Docker to enhance the internal audit lifecycle, risk and resilience analysis, and data management, and created multiple dashboards to visualize the results using PowerBI.
  • Charged with upskilling the team in the technology, automation, programming, and AI fields.
Technologies: Python, Microsoft Power BI, Audits, Data Management, Data Visualization, Automation, Leadership

Software Engineer

2019 - 2021
  • Led the team to create multiple software applications that served various AI solutions, such as drone onboard computer vision and smart GPS localization and tracking.
  • Created and developed a scalable architecture for the AiPOD main application, which works as a hub connecting any legacy or drone camera and applying a chosen real-time AI solution using Docker and Python (Flask).
  • Constructed product demos for external parties and maintained a relationship with high-profile partners.
  • Worked on object detection, object tracking, object segmentation, optimization of CV models and inference time, electro-optical and infra-red real-time detection, and recognition projects.
  • Developed a real-time landmines detection solution, including ground-penetrating radar (GPR) signal processing and transformation, image reconstruction to 2D and 3D visualizations, and visualization of results on Google Earth.
  • Established an autonomous solution to find the geographic coordinates of any point visible through the live feed from a drone's camera.
  • Trained customized object detection models to find mines, weapons, and concealed objects.
Technologies: Python 3, Docker, Git, Scalable Application, Drones, Computer Vision, Artificial Intelligence (AI), Algorithms, Signal Processing, Flask, Back-end, DevOps, Microservices, PostgreSQL, Leadership, API Integration, Architecture, Databases, Scalable Web Services, Pandas

Software Engineer | AI Engineer

2018 - 2019
  • Built an evaluation and optimization framework for object detection and classification models using Python as a programming language and Docker virtual containers.
  • Created visual and mathematical solutions for multiple object detection evaluations in a single picture.
  • Took responsibility for maintaining the relationship with third-party developers.
Technologies: Python 3, Docker, Git, Statistics, Software Evaluation, Algorithms, Automation, Artificial Intelligence (AI)

Data Analyst

2017 - 2017
  • Worked on data analytics on Instagram and Facebook.
  • Upgraded some internal software analytics from Excel to Python.
  • Analyzed trends and past behaviors on the ads' performance.
Technologies: Python 3, Facebook Ads, Instagram Marketing

Site Engineer

2015 - 2017
JN Real Estate Company
  • Created an autonomous framework system for finance schedules.
  • Monitored all engineering staff in six sites across three different regions.
  • Overviewed engineering goals, deliverables, and relationships with third-party suppliers.
Technologies: Communication, Management, Python


Successfully designed and built the RAML project, a robot that cleans up sandy shores with manual and autonomous control using Raspberry Pi and Python.

Poolit App

A Python/Flask-based app responsible for trading alts and I was in charge of the development of the app API and services, improving the code quality, and designing parts of the database. I worked on this project until it was launched.


Created an MVP that included a 3D printed prototype integrated with Electronics and software that helps people clock in and clock out from work without needing electricity, or the internet, using Low Bluetooth Energy.

AWS Solutions Architect Associate

Amazon Web Services


SQLAlchemy, REST APIs, API Development, OpenCV, Twitter API, Twilio API, Pandas, React, Flask-RESTful, Node.js


Git, Microsoft Power BI, ChatGPT, Amazon Cognito, Amazon Simple Email Service (SES), Amazon Simple Notification Service (Amazon SNS), AWS ELB, AWS IAM, Celery


Flask, Django


Python 3, SQL, Python, C++


Application Architecture, ETL, Back-end Architecture, API Architecture, Automation, Scalable Application, Microservices, Data Science, Management, DevOps, REST


Docker, Linux, Azure, Amazon Web Services (AWS), Twilio, Amazon EC2, AWS Lambda


Databases, PostgreSQL, Amazon S3 (AWS S3), MySQL, Redis


Back-end, APIs, API Design, Integration, Software Architecture, CTO, Leadership, Architecture, Scalable Web Services, Data Management, Data Visualization, Computer Vision, Algorithms, Communication, Data Analytics, Web Development, Excel 365, Machine Learning, Cloud, Large Language Models (LLMs), Pinecone, OpenAI, FastAPI, Generative AI, Audits, Drones, Artificial Intelligence (AI), Signal Processing, Statistics, Software Evaluation, Facebook Ads, Instagram Marketing, System Design, Real Estate, Natural Language Processing (NLP), API Integration, Amazon RDS, Elastic Load Balancers, Web Project Management, GPT, Generative Pre-trained Transformers (GPT), Know Your Customer (KYC), Back-end Development, Connected Cars

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