AI ENGINEERING / SOFTWARE / TECHNICAL LEADERSHIP

Saif Al-Hail.

Engineering intelligence.
From model to market.

Senior Software Engineer · AI Lead. I build, deploy, and scale complete AI applications — from the first model to products people use and pay for.

Explore my work View CV
DOHA, QATAREngineering with a global outlook.
SYSTEM ARCHITECTURESA / 001

02 / Build the complete system

Bring models, application architecture, and reliable data flows into one working product.

10k+users of a solo-built AI product
10+production AI systems
Build. Ship. Scale.revenue-generating AI applications
Master’s in AI Ulster University · anticipated June 2027

01 / SELECTED WORK

Intelligence, engineered.
Products, delivered.

A selection of the products, models, and platforms I’ve worked on — and the engineering that brings them together.

6 selected projects
AI products/01

AI nutrition companion

A mobile product that brings together visual recognition, conversational AI, and personalized everyday guidance.

  • TensorFlow
  • Gemini AI
  • Flutter
  • Firebase
10,000+ usersAn AI product built from idea to everyday use
Explore the work

Sole engineer · Product, AI & deliveryConsumer product

The challenge

Make a complex daily task feel simple, useful, and personal.

My contribution

Built the product end to end, connecting computer vision and language models with a cross-platform mobile experience and cloud services.

The outcome

Built, deployed, and scaled a revenue-generating AI application, connecting intelligent features with subscriptions, payments, and a complete consumer experience.

  1. Visual input
  2. AI understanding
  3. Personalized guidance
Discuss this project
AI products/02

Private, on-device intelligence

A native mobile application that uses local image analysis to help people organize their digital lives.

  • SwiftUI
  • Apple Vision
  • Core Image
  • SwiftData
On-device analysisIntelligence designed around privacy
Explore the work

Native application & ML engineeringIn development

The challenge

Make useful visual analysis available without sending personal content to a server.

My contribution

Combined visual similarity, image quality analysis, and text recognition with a native interface, local persistence, and asynchronous processing.

The outcome

Built a working application with automated tests and local analysis workflows. Release preparation is ongoing.

  1. Local content
  2. On-device analysis
  3. User review
Discuss this project
AI products/03

AI research & insights

A research platform that turns natural-language questions into organized findings and source-linked insights.

  • Gemini AI
  • Next.js
  • FastAPI
  • Cloud Run
Research into insightConnected research and analysis workflows
Explore the work

Full-stack & language model integrationWeb application

The challenge

Help people make sense of information spread across multiple sources.

My contribution

Built an AI workflow for query understanding, information retrieval, relevance filtering, and synthesis, with a web interface and persistent search history.

The outcome

Connected language models, data services, and a cloud-hosted application into a unified research experience.

  1. Research question
  2. Retrieve + synthesize
  3. Structured findings
Discuss this project
AI systems/04

Real-time visual intelligence

Computer vision workflows that turn image and video inputs into detections, tracking, and useful application signals.

  • PyTorch
  • YOLO
  • OpenCV
  • Python
Visual understandingModels connected to working software
Explore the work

AI engineering · Model development & integrationApplied AI engineering

The challenge

Translate complex visual inputs into structured information that software can use.

My contribution

Worked across model development, data preparation, visual tracking, and application integration, combining deep learning with software engineering.

The outcome

Built integrated visual processing workflows, from model experimentation through real-time interfaces.

  1. Image / video
  2. Visual models
  3. Application signals
Discuss this project
AI systems/05

Adaptive learning systems

Sequence models and unsupervised learning for understanding patterns and identifying unusual behavior in data.

  • Transformers
  • Autoencoders
  • PyTorch
  • Python
Meaningful signalsApplied learning for evolving data
Explore the work

AI architecture & model lifecycleApplied AI engineering

The challenge

Find meaningful signals in complex data as patterns change over time.

My contribution

Developed deep learning workflows spanning sequential analysis, anomaly detection, feature evaluation, and model lifecycle practices.

The outcome

Brought modeling and software delivery together with monitoring, versioning, and documentation practices.

  1. Sequential data
  2. Learn representations
  3. Identify patterns
Discuss this project
Platforms & data/06

Connected operations platforms

Full-stack applications that bring fragmented workflows, reporting, and role-based tools into one interface.

  • Next.js
  • TypeScript
  • Django
  • REST APIs
Connected workflowsSoftware built around how people work
Explore the work

Full-stack architecture & developmentWeb application

The challenge

Give teams a coherent view of interconnected operational processes.

My contribution

Built responsive interfaces, backend services, permission models, and reporting workflows across connected application modules.

The outcome

Created an integrated platform for day-to-day operations, with dashboards and controlled access to different workflows.

  1. Operational data
  2. Services + permissions
  3. Connected workflows
Discuss this project

Selected work, described by purpose and technology. Visuals are conceptual illustrations.

MORE EXPLORATIONS

Forecasting & optimization

Sequence prediction, feature engineering, and genetic algorithms.

LSTM · TensorFlow · NumPy

Automated data & insights

Data collection and language-model workflows for research and analysis.

Python · LLMs · API integrations

Discovery & aggregation

Searchable experiences built on data extraction, filtering, and caching.

Flask · Selenium · BeautifulSoup

MY TECH EXPERIENCE

56 technologies & skills
  • Python
  • React
  • Machine learning
  • PyTorch
  • Next.js
  • TypeScript
  • TensorFlow
  • Flutter
  • JavaScript
  • Computer vision
  • Django
  • FastAPI
  • LLMs
  • Transformers
  • Hugging Face
  • Gemini AI
  • NLP
  • Keras
  • Scikit-learn
  • OpenCV
  • YOLO
  • LSTM / RNN
  • Autoencoders
  • Transfer learning
  • Genetic algorithms
  • Frontend
  • HTML
  • CSS
  • Tailwind CSS
  • Node.js
  • Flask
  • REST APIs
  • Dart
  • Swift / SwiftUI
  • React Native
  • Apple Vision
  • Core Image
  • SwiftData
  • Firebase
  • Pandas
  • NumPy
  • SQL / PostgreSQL
  • ETL pipelines
  • Docker
  • Cloud Run
  • AWS
  • MLflow
  • Redis
  • RabbitMQ
  • Git
  • CI/CD
  • Model monitoring
  • Test automation
  • Selenium
  • BeautifulSoup
  • Authentication

02 / THE THREAD THAT CONNECTS IT

An engineer’s mind.
A builder’s instinct.

Curiosity, put to work.

My path into AI started with a different kind of system: mechanical engineering.

Planning complex operations taught me to see dependencies, ask better questions, and understand how individual parts affect the whole. That way of thinking stayed with me when I began teaching myself programming and machine learning.

Today, I work across model development, software architecture, and product delivery. I’ve built and deployed full AI applications end to end, scaled them to real users, and turned them into revenue-generating products. That means owning the models, interfaces, infrastructure, subscriptions, and the iteration after launch.

Now, alongside my engineering work, I’m pursuing a master’s in Artificial Intelligence at Ulster University — bringing deeper academic study to the problems I build for.

View full CV

03 / EXPERIENCE

A foundation built
by doing.

From industrial operations to applied AI and technical leadership. A career of connecting systems, people, and ideas.

Sep 2023 — PresentCURRENT

Enterprise AI & software engineering

Senior Software Engineer / AI Lead

Leading AI architecture and full-stack delivery, from model development to the platforms that put it to work.

  • Guide model development, deployment, and governance workflows.
  • Build application interfaces and backend services for AI systems.
  • Mentor engineers, lead code reviews, and coordinate delivery.
01
Jun 2020 — Sep 2023

Applied machine learning & computer vision

Artificial Intelligence Engineer

Developed and integrated AI models across computer vision, language processing, and sequence prediction.

  • Built models with TensorFlow, PyTorch, and OpenCV.
  • Applied transfer learning, feature engineering, and algorithm optimization.
  • Connected AI models with deployable services and data workflows.
02
Jul 2017 — Jun 2020

Industrial engineering & operations

Maintenance Planning Engineer

Built a foundation in systems thinking through maintenance planning and complex operational coordination.

  • Coordinated engineering and operational teams on maintenance schedules.
  • Planned work across interconnected industrial systems.
03

04 / TECHNICAL RANGE

Deep in AI.
Fluent across the stack.

A complete engineering toolkit: model development, web and mobile applications, deployment, scaling, and technical leadership.

/01

Machine learning & AI

From mathematical foundations to useful models.

  • Python
  • PyTorch
  • TensorFlow
  • Keras
  • Scikit-learn
  • Computer vision
  • YOLO
  • OpenCV
  • LSTM / RNN
  • Autoencoders
  • Genetic algorithms
  • Transfer learning
/02

Language & intelligent products

Connect language, context, and user experience.

  • LLMs
  • Transformers
  • Hugging Face
  • Gemini AI
  • NLP
  • Text classification
  • Sentiment analysis
  • Conversational AI
  • Multilingual experiences
/03

Web & backend engineering

Build complete applications around the intelligence.

  • TypeScript
  • JavaScript
  • React
  • Next.js
  • Django
  • FastAPI
  • Flask
  • Node.js
  • REST APIs
  • Authentication
  • Role-based access
/04

Mobile & product delivery

Take a product from the first screen to revenue.

  • Flutter / Dart
  • Swift / SwiftUI
  • React Native
  • Apple Vision
  • Core Image
  • SwiftData
  • Firebase
  • Subscriptions
  • In-app purchases
  • Product analytics
/05

Data, cloud & MLOps

Deploy, scale, and maintain the systems behind it.

  • Pandas
  • NumPy
  • SQL / PostgreSQL
  • ETL pipelines
  • Docker
  • Cloud Run
  • AWS
  • MLflow
  • Redis
  • RabbitMQ
  • CI/CD
  • Model monitoring
/06

Technical leadership & quality

Bring people and engineering standards together.

  • System architecture
  • Technical roadmaps
  • Team leadership
  • Mentoring
  • Code review
  • Agile delivery
  • Model governance
  • Git
  • Test automation
  • A/B testing

05 / EDUCATION & CONTINUED LEARNING

Still curious.
Still building.

Practical experience, strengthened by formal study and a habit of learning from the foundations up.

IN PROGRESS

Master’s in Artificial Intelligence

Ulster University

Anticipated graduation June 2027

2013 — 2017

BEng, Mechanical Engineering

Coventry University

CONTINUED LEARNING

Machine Learning · Deep Learning · Project Management (CAPM)

Arabic Native English Fluent

OPEN TO THE RIGHT OPPORTUNITY

DOHA, QATAR · OPEN TO REMOTE

Have a meaningful
problem to solve?

I’m interested in AI engineering and technical leadership roles where I can build useful systems and help a strong team go further.

LinkedIn View CV