Daliana Liu

I'm a career coach and entrepreneur. Previously, I was a Senior Data Scientist at Amazon with 7 years of experience in data science & ML. 

When I started my career, I felt lost. I struggled to meet expectations and feared I wasn't good enough. I had to figure out how to navigate my career and advocate for myself. Eventually, I got promoted to a senior data scientist at Amazon, leading high-impact projects and mentoring data scientists and MLEs. My career advice has been featured on Business Insider, Amazon Science Blog, and VentureBeat.

In my coaching program, I help data science/ML professionals advance their careers and future-proof themselves without the burnout. 

If you want to explore coaching, join my newsletter https://dalianaliu.kit.com/profile

NATO

Science for Peace and Security Advisor and Programme Manager
(Data Science and Artificial Intelligence)

AI Advisor and SPS Programme Manager @ NATO HQ

European Commission

Artificial Intelligence Researcher

I was deputy task leader in the AI WATCH project. AI WATCH monitors a) industrial, technological and research capacity, policy initiatives in the Member States, b) uptake and technical developments of Artificial Intelligence and its impact in the economy, society, and public services. AI WATCH has provided a number of analyses necessary to monitor and facilitate the implementation of the European Strategy for AI.
AI WATCH was AA with DG CONNECT. The team was around 25-30 people and had various methodologies and technologies involved. 
Specific role and responsibilities.
- Participate and contribute to AI WATCH project management meetings.
- Contribute to the strategic vision of AI WATCH.
- Negotiate with the stakeholders, DG CONNECT on project objectives, milestones, and deliverables. 
- Contribute to drafting technical specifications, resource planning and allocations, particularly in my task. 
- Co-lead team in charge of project activities. 
- Managing, implementing and delivery of assigned tasks. 
- Technology watch and technology evaluation. 
- Contribute to reports, analysis, and publications.

Scientific project officer at European Commission Joint Research Center 

Task 1.
I have been working on “Evaluation of the Potential of Convolutional Neural Networks and Random Forests for Multi-Class Segmentation of Sentinel-2 Imagery”. The objective was to develop a satellite image recognition system using deep learning or specifically convolutional neural networks and random forest algorithms. The software stack was mainly python libraries NumPy, Pandas, and deep learning framework TensorFlow and Keras. Docker was used for containerization.

Task 2.
I have been working with colleagues from Politecnico Milano on classifying forest and non-forest areas in the Amazon rainforest in a specific area of interest using documented Fully Convolutional Neural Networks (FCNN) like U-Net, utilising Google Colab with Keras and TensorFlow as processing tools, and Google Earth Engine (GEE) as a satellite imagery data source and classified training data source.

Task 3. 
I am starting a new project “AI for non-experts” with the objective to research and develop a prototype that will allow anyone to apply artificial intelligence without having to write a line of computer code. The plan is to use the Python stack of AI tools for development of the prototype. 

Specific role and responsibilities.
- Data collecting, pre-processing, quality evaluation and consistency check.
- Data preparation with Pandas and NumPy.  
- Analysis, assessment, and management of big geospatial data.
- Conceptualization, analysis, technical and administrative supervision in AI, machine learning and data science. 
- Researching deep learning networks architectures with framework TensorFlow and Keras.
- Running experiments on JEODPP cloud platform.
- Contribute to experiments on Google Colab and Google Earth Engine.
- Building data-driven solutions for a variety of end-users
- Communicating and coordinating with the team.

Scientific Researcher

Destination Earth (DestinE) is the EU's flagship initiative to the twin challenge of green and digital transition. Destination Earth project have involved DGs: CNECT, DEFIS, RTD and JRC.  DestinE data lake will consist of the federation of the Copernicus, ESA, ECMWF and EUMETSAT respective data lakes. DestinE infrastructure is planned as a federated system of digital infrastructures providing scalable on- demand processing capacity based on a hybrid cloud-HPC model as well as a full Earth Observation and Green Deal data space repository (initial estimate @ ca. 150- 200 petabytes).
We have developed a proof-of-concept of a federated cloud with disturbed big data resources. The system was tested with a case study that combined Sentinel products and Edge data streams as input to a deep learning model that predicted meteorological information.

Specific role and responsibilities: 
- Contribute to the management meetings and discussion on Destination earth. 
- Give advice in the negotiations with the stakeholders on project objectives, milestones, and deliverables. 
- Conceptualization of data models, architecture and building blocks.
- Analysis, assessment, and management of big data.
- Developing a data-driven solution for a variety of users, based on the latest IT technology stack.
- Defining and designing data integration solutions. 
- Contribute to drafting technical specifications, resource planning and allocations. 
- Managing, implementing and delivery of assigned tasks.

Scientific Project Manager

University "Goce Delcev" Faculty of Computer Science 

- Teaching courses: Advanced algorithms, machine learning, distributed computer systems, algorithms and data structures, and geographic information systems (GIS).
- Mentor of Master and PhD students.
- Management and strategic role. 
- Ensuring quality of the student experience. 
- Managing implementation of the staffing and resource plan.
- Define tasks and resource estimation.
- Research and Development
- Teaching 
- Co-manage Moodle e-learning platform at the University Goce Delcev. 
- many other.

Associate Professor and Vice dean

Bitt Solutions Unlimited

- Strategic, financial, and operational leadership.
- Vision, values, and objectives. Defining strategy to growth and prosper.
- Analysis of client business needs, requirements, processes, risks, and challenges.
- Negotiating contracts with clients and stakeholders.
- Clear communications with our clients, service providers, stakeholders
and the team members. Project management.
- Recruit and assemble a team in coordination with the client.
- Functional and technical analysis, technical specification, prototyping, developing, testing, implementing, ensuring quality control, monitor- ing, integration in their existing systems.
- AI and Machine Learning solutions.
- Decision-making and task delegation. Define tasks and resource estimation. Plan and allocate resources.
- Agile software development and leadership.
- Leading and managing multiple remote teams.

Chief Executive Officer and Founder

Research and development of AI optimization algorithms of call agents’ schedules. The objective was to develop a complex AI scheduler for more than 1000 employees in multiple time zones and with hard and soft constraints. The software solution was developed in OptaPlanner and Drools and programmed in Java.
The client had more than 100 employees and yearly revenue of $10 million. We were a team of more than 20 people in this project. 
I was CEO of Bitt Solutions and lead researcher and developer on this project. 

Specific role and responsibilities.
- Research for an optimal AI software solution that satisfies client requirements and future needs, preferably open source. 
- Ranking of possible solutions with their pros and cons.
- Conceptualization, algorithm design, functional and technical analysis. 
- Assembling a team to develop custom in-house software based on off-the-shell software OptaPlanner and Drools. 
- Development and installation of in-house software together with the client team. 
- Drafting project documentation and change management. 
- Define technical specification, tasks, and resource estimation.
- Plan and allocate resources.
- Management of cost, timelines, and resources in the implementation phase with Agile and Scrum methodologies.

Artificial Intelligence Consultant and Team Lead

BITT Solution Unlimited

CartoFront offered a service for real estate lead generators. The technologies stack was AngularJS, NodeJS, ESRI, PostgreSQL, running on Azure cloud. Later, based on our team analysis, we moved to open-source stack with PosgreSQL, GeoServer and OpenLayers. 
I was co-CTO and a team lead architect in this project with CartoFront. The entire team was 10-15 employees. 

Specific role and responsibilities:
- Analysis of client business needs, requirements, processes, risks, and challenges. 
- Define a strategy based on previous analysis.
- Draft, negotiate and sign the contract including Scope of Work. 
- Recruit and assemble a team in coordination with the client. 
- Design, definition of business requirements, functional and technical analysis, technical specification, prototyping, developing, testing, implementing, ensuring quality control, monitoring, integration in their existing systems. 
- Define tasks and resource estimation.
- Plan and allocate resources.
- Manage resources in the implementation phase with Agile and Scrum methodologies.

Co - Chief Technology Officer

MARNet (Macedonian Academic and Research Network)

Management Board Member

University "Goce Delcev" at Stip

Assistant Professor

UNESCO-IHE and TU Delft

I have invented novel algorithms for optimization that alleviate the curse of dimensionality in the problem domain. I gained profound knowledge and experience in reinforcement learning, dynamic programming and stochastic dynamic programming algorithms. 

Specific role and responsibilities.
- Conceptualization, analysis, proof of concept and research and development in advanced data, machine learning and AI. 
- Analysis, assessment and management of data compiled from several source and reference databases. 
- Developing a PhD research plan with achievable timelines and milestones.
- Acquisition of data sources with pre- and pros- processing tools. 
- Development of new AI and machine learning algorithms based on the data model. 
- Define and design data solutions with AI and Machine learning algorithms. 
- Implement the plan in coordination with the supervisor

PHD Student

University for Information Science and Technology "St. Paul the Apostle", Ohrid, Macedonia

Visiting Assistant Professor

Currently I am Data Science, AI advisor and SPS programme manager at NATO HQ. 

Previously I was AI Researcher at the European Commission's Joint Research Centre and been working on European Strategy for AI. With more than six years of experience in this role, I have developed a deep expertise in generative AI and large language models (LLMs), as well as a broad understanding of the economic, social, and public impacts of AI.

My passion for AI and data policies stems from my academic background, where I obtained two PhDs in Computer Science from the Delft University of Technology and the University of Cyril and Methodius. Before joining the European Commission, I also held positions as a professor, a CEO/CTO, and a management board member, where I gained valuable skills in teaching, entrepreneurship, and leadership. I am always eager to learn new technologies, collaborate with diverse stakeholders, and apply my knowledge to create innovative solutions that benefit society.

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Daliana Liu

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