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I am Marisa M. Buctuanon, a Lead AI Engineer with 13+ years bridging academic research and industry. Over the past 4+ years, I have led AI engineering teams, delivering enterprise-scale AI solutions and production systems using deep learning, generative AI, and machine learning. I am highly adaptable to diverse technologies and complex project requirements. My academic experience spans 9 years as a university instructor teaching AI courses, coordinating research projects, and publishing in journals such as Springer, RMRJ, and IJCSIT, as well as presenting at international conferences. I thrive in translating cutting-edge research into real-world applications across industries, designing scalable AI architectures, mentoring engineering teams, and delivering high-impact solutions.…I am Marisa M. Buctuanon, a Lead AI Engineer with 13+ years bridging academic research and industry. Over the past 4+ years, I have led AI engineering teams, delivering enterprise-scale AI solutions and production systems using deep learning, generative AI, and machine learning. I am highly adaptable to diverse technologies and complex project requirements. My academic experience spans 9 years as a university instructor teaching AI courses, coordinating research projects, and publishing in journals such as Springer, RMRJ, and IJCSIT, as well as presenting at international conferences. I thrive in translating cutting-edge research into real-world applications across industries, designing scalable AI architectures, mentoring engineering teams, and delivering high-impact solutions.

Marisa M. Buctuanon

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am Marisa M. Buctuanon, a Lead AI Engineer with 13+ years bridging academic research and industry. Over the past 4+ years, I have led AI engineering teams, delivering enterprise-scale AI solutions and production systems using deep learning, generative AI, and machine learning. I am highly adaptable to diverse technologies and complex project requirements. My academic experience spans 9 years as a university instructor teaching AI courses, coordinating research projects, and publishing in journals such as Springer, RMRJ, and IJCSIT, as well as presenting at international conferences. I thrive in translating cutting-edge research into real-world applications across industries, designing scalable AI architectures, mentoring engineering teams, and delivering high-impact solutions.…I am Marisa M. Buctuanon, a Lead AI Engineer with 13+ years bridging academic research and industry. Over the past 4+ years, I have led AI engineering teams, delivering enterprise-scale AI solutions and production systems using deep learning, generative AI, and machine learning. I am highly adaptable to diverse technologies and complex project requirements. My academic experience spans 9 years as a university instructor teaching AI courses, coordinating research projects, and publishing in journals such as Springer, RMRJ, and IJCSIT, as well as presenting at international conferences. I thrive in translating cutting-edge research into real-world applications across industries, designing scalable AI architectures, mentoring engineering teams, and delivering high-impact solutions.

Available to hire

I am Marisa M. Buctuanon, a Lead AI Engineer with 13+ years bridging academic research and industry. Over the past 4+ years, I have led AI engineering teams, delivering enterprise-scale AI solutions and production systems using deep learning, generative AI, and machine learning. I am highly adaptable to diverse technologies and complex project requirements. My academic experience spans 9 years as a university instructor teaching AI courses, coordinating research projects, and publishing in journals such as Springer, RMRJ, and IJCSIT, as well as presenting at international conferences. I thrive in translating cutting-edge research into real-world applications across industries, designing scalable AI architectures, mentoring engineering teams, and delivering high-impact solutions.

Skills

Experience Level

Expert

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Expert

Work Experience

Lead AI Engineer & AI System Architect at Lanex Corporation

June 1, 2021 - Present

Lead development of production AI systems, including deep learning models, NLP applications, computer vision solutions, and generative AI platforms. Proficient in Python, Java, PHP, C#, and JavaScript for full-stack development, with strong experience in AWS SageMaker, PostgreSQL, ETL pipelines, and large-scale data processing. Led AI-powered automation tools, predictive analytics solutions, and intelligent chatbots to enhance business efficiency. Mentored engineering teams, designed scalable enterprise architectures, and delivered high-impact AI solutions.

Instructor II and Research Coordinator at University of San Jose - Recoletos

June 1, 2014 - May 1, 2021

Taught AI-related courses such as Introduction to Intelligent Systems, Data Mining, and Big Data. Served as IT Project coordinator and adviser. Published AI research papers in journals (RMRJ, IJCSIT) and presented at national and international conferences. Advised student AI research projects (e.g., facial recognition, music mood classification) and facilitated the CS/IT college in writing publishable AI research papers.

Professor at University of the Philippines - Cebu

March 1, 2021 - October 1, 2021

Taught specialization courses in artificial intelligence emphasizing real-world problem solving, including applied machine learning, data-driven decision making, and deployment of AI solutions in practical environments.

Software Engineer at Lfn Philippines

April 1, 2012 - February 1, 2013

Developed a data management system with a Node.js backend that integrated with external APIs (Facebook web service) to fetch and process data. Built a Silverlight 5.0 frontend with Pivot Viewer to display and visualize the processed data. Deployed and managed the production system on SharePoint for a client in France.

Instructor II and Research Coordinator at University of San Jose - Recoletos

June 1, 2013 - May 1, 2021

Taught AI-related courses including Introduction to Intelligent Systems, Data Mining, and Big Data. Served as IT Project coordinator and adviser. Published AI research papers in journals (RMRJ, IJCSIT) and presented at national and international conferences (FICC 2018, NCITE). Advised student research projects in AI including facial recognition systems using deep learning (CNN), personalized music mood classification using machine learning, and AI-driven cloud storage solutions. Facilitated the CS/IT college to write publishable AI research papers. Served as college representative in conducting research training and workshops. Coordinated research initiatives resulting in multiple journal publications and conference presentations in AI and machine learning domains.