Open to opportunities

Felix Lunalo

@felixlunalo

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PhD Machine Learning Engineer specializing in NLP and deep learning.

United States

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What I'm looking for

I am seeking senior ML roles where I can build and deploy scalable NLP and CV systems, mentor teams, and drive measurable business impact in collaborative, innovation-focused environments.

I am a Machine Learning Engineer with a Ph.D. in Computer Science and over five years of experience building production AI solutions across healthcare, finance, and e-commerce.

I have developed and deployed 15+ production models, created RAG-based chatbots, real-time fraud detection pipelines, and medical image classifiers, consistently improving performance and ROI for clients.

My research background includes five peer-reviewed publications in top-tier conferences and leading development of novel deep learning architectures that boosted baseline performance by 23%.

I am proficient in Python, TensorFlow, PyTorch, Hugging Face, AWS (SageMaker, EC2, S3), Docker, Kubernetes, and MLOps tooling, and I enjoy mentoring engineers and delivering scalable, measurable ML solutions.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Self-Employed

Jan 2022 - Present (4 years)

Developed 15+ production ML models for healthcare, finance, and e-commerce clients delivering an average 35% ROI improvement; built NLP pipelines using BERT/GPT achieving 94% accuracy and implemented CV systems that reduced manual inspection time by 60%.

Python PyTorch TensorFlow NLP MLOps Docker Kubernetes MLFlow Hugging Face

Data Scientist

Healthcare Analytics Corporation

Jan 2020 - Jan 2023 (3 years)

Developed predictive models for patient readmission achieving AUC of 0.89 and built automated data pipelines processing 500GB+ daily using Python, Spark, and AWS, reducing model training time by 40% via distributed computing optimizations.

Python SQL Spark AWS Data Engineering Model Evaluation Distributed Computing

Machine Learning Research Scientist

Tech Innovation Labs

Jan 2019 - Dec 2021 (2 years 11 months)

Led development of novel deep learning architectures for NLP, published 5 peer-reviewed papers (NeurIPS, ICML, AAAI) and improved baseline model performance by 23% through feature engineering and ensembles while mentoring 4 junior engineers.

Deep Learning NLP Research PyTorch TensorFlow Mentoring