Jonlenes Castro

WORK HISTORY

EDUCATION

ABOUT JONLENES CASTRO

AI & ML Systems Architect with a strong background in data science, software engineering, and problem-solving. Over 10 years of experience designing and delivering innovative software solutions- Extensive experience in developing and deploying software solutions, particularly Machine/Deep Learning solutions, using frameworks such as TensorFlow (Keras), PyTorch, Scikit-learn, and Pandas- Proven track record in architecting large-scale systems and deploying them on-premises or in the cloud using tools/services such as Docker, Kubernetes, Kafka, AWS, EC2, and ECR. Additionally, he developed high-performance systems with CUDA, pthreads, Multiprocessing, and Celery- Worked with several Machine Learning techniques/concepts, including regression, classification, and object detection- Proficient in building optimization models with linear/mixed-integer programming (mathematical programming – SciPy, GurobiPy), heuristics, and algorithms- Skilled in Python, C/C++, and SQL programming languages; adheres to software engineering best practices (such as design patterns, OOP, unit testing, integration testing, CI/CD, etc.); experienced with databases such as MS Server and MySQL- Holds a B.Sc. and M.Sc. in Computer Science with a focus on Machine Learning, as well as an MBA- Experienced in fostering high-performance teams by leveraging their skills and providing aligned challenges for each employee; adept at communication at different hierarchical levels- Recognized for delivering impactful AI solutions across multiple industries, consistently bridging the gap between advanced analytics and practical implementation.