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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.

• Machine Learning
• Deep Learning
• Web Development
• Application Development
• Data Analytics/Data Science

• Sugarcane Disease Mobile Application Detector (AI-based)

• Coffee Specie Mobile Application Detector (AI-based)

• Lung Disease Detector and Severity Classification Computer App (AI-based)

• Python
• C++
• Java 
• Artificial Intelligence
• Power BI
• Tableau
• ReactJS
• GitHub

• 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.