Lorenzo is currently unavailable
Lorenzo Azar
Verified Expert in Engineering
Software Engineer and AI Developer
Dubai, United Arab Emirates
Toptal member since April 29, 2022
Bio
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.
Portfolio
Interjoin
Amazon Web Services (AWS), Python 3, Flask, React, Web Project Management...
Lloyds
Python 3, Docker, Azure, REST, API Integration, Artificial Intelligence (AI)...
BIZRENT SHARING ECONOMY DOO
MySQL, Databases, Microsoft Power BI, Back-end, Back-end Development...
Experience
- Python 3 - 8 years
- SQL - 7 years
- Git - 6 years
- Flask - 6 years
- Linux - 6 years
- Docker - 5 years
- Scalable Application - 5 years
- Software Architecture - 5 years
Work Experience
Chief Technology Officer
2022 - PRESENT
Interjoin
- 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, Technical Leadership, Product Management
Software Engineer | AI Consultant
2021 - PRESENT
Lloyds
- 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, Technical Leadership, Product Management
Senior Back-end Developer
2023 - 2023
BIZRENT SHARING ECONOMY DOO
- 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), Swagger
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 Artificial Intelligence (GenAI), Pandas, Technical Leadership, Swagger
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, Technical Leadership, Swagger
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, Technical Leadership
Software Engineer
2019 - 2021
CynaxLabs
- 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, Technical Leadership, Swagger, Product Management
Software Engineer | AI Engineer
2018 - 2019
BMW
- 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
Vinelab
- 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
Project History
RAML
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.
Iota
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.
Certifications
JANUARY 2023 - FEBRUARY 2026
AWS Solutions Architect Associate
Amazon Web Services (AWS)
Skills
Libraries/APIs
SQLAlchemy, REST APIs, API Development, OpenCV, X (formerly Twitter) API, Twilio API, Pandas, React, Flask-RESTful, Node.js
Tools
Git, Microsoft Power BI, ChatGPT, Amazon Cognito, Amazon Simple Email Service (SES), Amazon Simple Notification Service (SNS), AWS ELB, AWS IAM, Celery
Languages
Python 3, SQL, Python, C++
Frameworks
Flask, Swagger, Django
Paradigms
Application Architecture, ETL, Back-end Architecture, API Architecture, Automation, Scalable Application, Microservices, Management, DevOps, REST
Platforms
Docker, Amazon Web Services (AWS), Linux, Azure, Twilio, Amazon EC2, AWS Lambda
Storage
Databases, PostgreSQL, Amazon S3 (AWS S3), MySQL, Redis
Other
Back-end, APIs, API Design, Integration, Software Architecture, CTO, Leadership, Architecture, Scalable Web Services, Technical Leadership, Data Management, Data Visualization, Computer Vision, Algorithms, Communication, Data Analytics, Web Development, Excel 365, Machine Learning, Cloud, Data Science, Large Language Models (LLMs), Pinecone, OpenAI, FastAPI, Generative Artificial Intelligence (GenAI), Product Management, 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, Generative Pre-trained Transformers (GPT), Know Your Customer (KYC), Back-end Development, Connected Cars
Collaboration That Works
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
1
Share your needs
Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2
Choose your talent
Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3
Start your risk-free talent trial
Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.
Top talent is in high demand.
Start hiring