Joan has been working in the IT industry for several years with a strong focus on Artificial Intelligence and Machine Learning, holding roles such as AI Engineer, AI Developer, and ML Computational Analyst across industries including technology consulting, cybersecurity, and education. She began her career as a Web Developer before transitioning into AI/ML, where she has since built extensive experience in designing, training, and deploying machine learning models and AI-driven applications .
She has earned certifications on the following:
◦ Google Cloud Certified – Professional Machine Learning Engineer
◦ ChatGPT Prompt Engineering and Generative AI APIs (various certifications)
◦ Python for Data Science, AI & Development
◦ DevOps, Cloud Computing, and NLP-related certifications
She is highly proficient in machine learning and deep learning techniques, including CNNs, LSTMs, Transformers, and regression models, and is experienced in using Python along with frameworks and tools such as TensorFlow, FastAPI, Flask, and Google Cloud Vertex AI. She is also adept in handling large datasets using BigQuery and implementing model monitoring and performance optimization.
Some of the work she has done as an AI Engineer includes developing AI-driven systems such as career recommendation engines, AI security platforms, and computer vision-based applications. She has experience in full-cycle AI development—from data collection and preprocessing, feature engineering, and model training to deployment via APIs and microservices. Additionally, she has contributed to AI research, including published studies in areas such as malware detection, healthcare prediction models, and image classification.
Her experience also includes working with cross-functional teams, mentoring junior members, and serving as a subject matter expert in cloud-based data and AI tools. She has handled projects involving predictive analytics, natural language processing, computer vision, and AI security.
Her current overall tech stack includes:
◦ Programming: Python
◦ Frameworks/Tools: TensorFlow, FastAPI, Flask
◦ Cloud & Data: Google Cloud (BigQuery, Vertex AI, Dataform)
◦ Machine Learning: CNNs, LSTMs, Transformers, AutoML, Gradient Boosting
◦ Deployment: API integration, microservices architecture
◦ Data Processing: Data preprocessing, EDA, feature engineering, model monitoring
◦ Other Tools: Figma (UI for AI platforms), Docker (basic DevOps exposure)
Overall, she is a strong AI Engineer/Specialist with both academic and industry-backed experience, capable of delivering end-to-end AI solutions and contributing to advanced AI initiatives.
She is available to work full-time.
Joan is a graduate of computer science. She is currently taking up a Master's Degree in Computer Science and will be able to finish it by December 2023. She has almost 5 years of relevant experience in different industries such as IT, Logistics, and Education. In her years of experience, she has already performed different roles such as Web Developer, IT Staff, Application Developer, Lecturer/Teaching Associate, and Artificial Intelligence Engineer. She is highly proficient in creating AI-based projects using Python programming language. She is also knowledgeable in the following:
- Machine Learning
- Deep Learning
- Web Development
- Application Development
- Data Analytics/Data Science
She has already implemented different AI projects and three of her most notable projects include:
- Sugarcane Disease Mobile Application Detector (AI-based)
A mobile application in which the camera will capture the sugarcane leaf using machine learning with a TensorFlow light API. It will classify what kind of disease is in the sugarcane leaf and it will appear in the mobile application.
- Coffee Specie Mobile Application Detector (AI-based)
A mobile application that will classify what kind of specie the coffee bean belong
- Lung Disease Detector and Severity Classification Computer App (AI-based)
A web application that classifies the severity of the lung disease. The user can upload chest X-ray or CT Scan images of a person's lungs and it will classify what kind of lung disease the person has.
Her tech stack includes
- Python
- C++
- Java
- Artificial Intelligence
- Power BI
- Tableau
- ReactJS
- GitHub
She can start immediately.
Predictive Index Behavioral Profile- PersuaderStrongest Behaviors
- Collaborative; works with and through others. Focused on team cohesion, dynamics, and interpersonal relations.
- Detail-oriented; typically makes and follows a plan to keep track of things and usually follows up to ensure completion.
- Teaches and shares; generally interested in working collaboratively with others to help out.
Behavioral Summary
Joan is an engaging, stimulating communicator, poised and capable of projecting enthusiasm and warmth, and of motivating other people.
Has a strong sense of urgency, initiative and competitive drive to get things done, with emphasis on working with and through people in the process. Understands people well and uses that understanding effectively in influencing and persuading others to act.