Engr. Charlothe John I. Tablizo, ECT is a licensed Electronics Engineer and Technician with a strong specialization in Automations Engineering, Network Engineering, and Data Analysis. He brings a unique integration of embedded systems, signal processing, and algorithm-driven design to develop smart, connected solutions for modern engineering challenges.
A topnotcher in both the April 2025 ECE and ECT licensure exams, Charlothe has consistently demonstrated academic and technical excellence, graduating Summa Cum Laude and ranking 1st in his college. His engineering work spans intelligent systems design, circuit modeling, and AI integration—exemplified by his CNN-based tire pressure automation project and his GPS-enabled bike navigation system using Dijkstra’s algorithm.
Charlothe's recognition as a Top 3 National Finalist in the APJC Cisco NetAcad Riders Competition and ASEAN Data Science Explorer National Finalist underscores his proficiency in network technologies and data-driven insights. His internship at the Civil Aviation Authority of the Philippines further strengthened his hands-on expertise in maintaining mission-critical electronics and aviation communication systems.
With a collaborative mindset and a methodical engineering approach, Charlothe is well-equipped to contribute to innovation-driven teams in the fields of industrial automation, intelligent infrastructure, and digital transformation.
Experience: 6 months - 1 year
I have hands-on experience working with AI tools and machine learning frameworks, particularly in implementing Convolutional Neural Networks (CNNs) for automation projects. In my capstone, I used ResNet-18 to classify terrain types and automatically adjust tire pressure—integrating AI with embedded systems for real-time control. Beyond technical implementation, I’m also proficient in crafting effective AI prompts for tools like ChatGPT, Claude, and Google’s Gemini (formerly Bard/Sonnet), allowing me to leverage generative AI for research, content development, and technical automation. My participation in AI-focused workshops and data science competitions has further strengthened my ability to apply AI in both engineering and analytical domains.
Experience: 1 - 2 years
I have developed strong skills in prompt engineering, allowing me to effectively harness the capabilities of advanced AI models such as ChatGPT, Claude, and Gemini (Sonnet). I craft precise, context-aware prompts tailored for tasks ranging from technical problem-solving and documentation to creative content generation and automation scripting. Whether it's streamlining workflows, analyzing data, generating educational materials, or simulating engineering scenarios, I know how to structure inputs to elicit accurate, high-quality outputs. My experience with prompt engineering has become an essential tool in enhancing productivity and accelerating solution development across both engineering and research domains.
Experience: 6 months - 1 year
I apply AI automation not only in engineering systems but also in optimizing workflows for office and administrative tasks. My background includes developing intelligent systems that automate decision-making and repetitive processes—such as using machine learning models for real-time control and AI prompt engineering to streamline report generation, data analysis, and documentation. I’m proficient with tools like ChatGPT, Claude, and Gemini, which I use to automate email drafting, summarize technical content, generate project plans, and organize data-driven insights. This allows me to bring efficiency, accuracy, and scalability to both technical and administrative environments through smart automation.
Experience: 6 months - 1 year
I have strong experience in circuit design, both analog and digital, with practical skills in simulation, layout, and implementation. I've worked on projects involving sound intensity measurement, sensor integration, and low-power design, using tools like LTSpice, KiCad, and TinkerCAD for modeling and testing. My designs often bridge with embedded systems—such as building ADC-based audio monitoring circuits with digital signal processing and implementing microcontroller-based control systems. I take a methodical approach to circuit analysis, ensuring reliability, safety compliance, and optimal performance in real-world applications. This foundation supports my broader work in automation and intelligent electronics.
Experience: Less than 6 months
“I can find little blocks of time to focus so we can scale this business.”
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