Open to opportunities

Felix Lunalo

@felixlunalo1

Message

I’m a Data Science Engineer and freelance AI trainer, building accurate predictive models.

United States

Message

What I'm looking for

I’m looking to build and optimize machine learning systems end-to-end—high-quality labeled data, strong evaluation, and scalable training pipelines—while collaborating closely with research teams to improve predictive performance.

I’m a Data Science Engineer and freelance AI trainer focused on improving machine learning systems through high-quality data annotation, model evaluation, and algorithm optimization. I build predictive models, train AI systems, and work with large-scale datasets to drive measurable accuracy gains.

I bring advanced expertise across Python, SQL, machine learning, and data modeling, using disciplined data cleaning, validation, and SQL-based extraction to strengthen training pipelines. I also collaborate with AI research teams to refine how models are trained and assessed.

My academic foundation includes a PhD in Data Science & Artificial Intelligence with a research focus on Machine Learning Optimization & Predictive Analytics. My dissertation—Advanced Neural Network Optimization for Scalable Data Systems—reflects my commitment to scalable, practical optimization.

From training labeled datasets to automating data processing pipelines and building dashboards, I prioritize reliable data workflows and strong model outputs. I’m motivated by projects that combine predictive analytics, NLP, and optimization to deliver real-world performance.

Experience

Work history, roles, and key accomplishments

Current

Freelance AI Trainer

Current

Self Employed

Jan 2023 - Present (3 years 4 months)

Trained machine learning models using high-quality labeled datasets and improved accuracy through data cleaning and validation. Developed SQL extraction/analysis queries, collaborated with AI research teams to refine training pipelines, and provided model evaluation and optimization feedback.

Python SQL AI Training Data Labeling Data Cleaning Model Evaluation Predictive Analytics TensorFlow PyTorch Data Modeling

Data Science Intern

University of Texas at Austin

Jan 2021 - Jan 2023 (2 years)

Assisted AI research on neural networks and built predictive models for academic datasets. Developed automated Python data processing pipelines to support ongoing research activities.

Neural Networks predictive modeling Python Data Pipelines Machine Learning Research Pandas NumPy scikit learn TensorFlow Data Processing

Education

Degrees, certifications, and relevant coursework

University of Texas at Austin

Doctor of Philosophy (PhD), Data Science & Artificial Intelligence

2019 - 2023

Activities and societies: Research focus: Machine Learning Optimization & Predictive Analytics; Dissertation: Advanced Neural Network Optimization for Scalable Data Systems.

PhD focused on Data Science and Artificial Intelligence, researching machine learning optimization and predictive analytics. Dissertation topic: Advanced Neural Network Optimization for Scalable Data Systems.