🌐 Software Engineer | Embedded Systems Designer | IoT Device Designer | Data Engineer
🚀 Passionate about building innovative tech solutions, driving data-driven decisions, and shaping the future of IoT and AI.

I am a seasoned Software Engineer with over 11 years of experience in Python Development, Embedded Systems Design, IoT Device Development and Data Engineering. My expertise lies in creating scalable, secure, and innovative solutions that bridge hardware and software seamlessly. I thrive on tackling challenges and enjoy working in dynamic, mission-driven teams.

• 🌟 Core Areas of Expertise:

  • DevOps: Docker, Kubernetes, CI/CD Pipelines
  • Data Engineering: ETL Pipelines, SQL, AWS Glue, Data Analysis
  • Backend Development: Python (Django, FastAPI, Flask), RESTful APIs
  • Machine Learning & AI: TensorFlow, Keras, OpenCV, OpenAI API Integration
  • Embedded Systems & IoT: NVIDIA Jetson, Raspberry Pi, Arduino, ESP32, PCB Design, CircuitPython, MicroPython

• 🛠️ I Build:

  • IoT-enabled devices
  • Scalable backend services
  • Automation tools and dashboards
  • Machine learning-powered applications

• 🤖 Built a fine-tuned chatbot to act as a customer support and sales assistant.
• 📅 Integrated with Cal.com for appointment scheduling.
• ⚡ Enhanced API performance by optimizing data retrieval and caching mechanisms.

• 🌍 Developed an IoT solution using Arduino and GSM Module.
• 🖼️ Designed and fabricated custom PCBs using EasyEDA.
• 📊 Integrated sensor data into a cloud dashboard for real-time analytics.

• 🎓 Developed a system to aid visually impaired students in identifying objects and locations, enhancing their accessibility and learning experience.

• 🌍 Developed the backend and REST API of a Smart Parking System
• 🖼️ Integrated License palte Recognition (LPR) Camera, RFID and NFC Reader and Writer, QR Code Scanner, and Loop Detector.
• 📊 Integrated sensor data into a cloud dashboard for real-time analytics.

• 🚨 Developed a safety system integrating motion sensors and GSM technology to alert users about gas leaks or unusual activity near LPG tanks.
• Integrated a motion sensor for

• 🚗 Built a security system for vehicles, featuring alarm triggers and GSM notifications to prevent and report theft.
• Integrated a Gmail and Google Maps for the notification and location of the vehicle.

• 🌐 Microsoft Power Platform Workshop
  Hands-on training on leveraging Power Platform for business automation and analytics.

• 🔒 The 3rd Data Privacy & Cybersecurity Professionals’ Summit
  Attended sessions on cutting-edge cybersecurity trends, data protection strategies, and compliance practices.

• 🛡️ Ethical Hacking and Pentesting Workshop
  Gained practical knowledge of penetration testing techniques, ethical hacking tools, and vulnerability assessments.

• 📊 Data Science and Data Analytics With Big Data
  A comprehensive workshop providing step-by-step guidance to becoming a Data Scientist.

• ✅ Software Quality Assurance Manual Testing
  Completed ISTQB Certification Foundations Training for manual testing methodologies and best practices.

• 💬 Understanding Prompt Engineering
  Explored the intricacies of crafting effective prompts for AI models like ChatGPT.

• 🧠 ChatGPT Fundamentals
  Mastered foundational concepts and applications of OpenAI’s ChatGPT.

• ⚙️ Preprocessing for Machine Learning in Python
  Learned techniques for preparing datasets for machine learning workflows.

• 🧩 Dimensionality Reduction in Python
  Studied PCA and other techniques to reduce feature dimensionality while retaining data integrity.

• 📈 Cluster Analysis in Python
  Gained expertise in clustering algorithms like K-Means and DBSCAN for pattern detection.

• 🌲 Extreme Gradient Boosting with XGBoost
  Specialized in boosting techniques for creating highly accurate predictive models.

• 🌳 Machine Learning with Tree-Based Models in Python
  Learned tree-based approaches such as Decision Trees, Random Forests, and Gradient Boosting.

• ➕ Linear Classifiers in Python
  Studied linear models like Logistic Regression and SVM for classification tasks.

• 🔍 Unsupervised Learning in Python
  Focused on techniques like clustering and dimensionality reduction for unlabeled data.

• 📊 Machine Learning for Business
  Applied machine learning concepts to solve real-world business problems effectively.

• 📊 Data Manipulation with Pandas
  Advanced training in manipulating and analyzing data using Python’s Pandas library.

• 🔢 Introduction to AWS Boto in Python
  Learned how to interact programmatically with AWS services using the Boto library.

• ☁️ Understanding Cloud Computing
  Acquired foundational knowledge of cloud platforms, services, and deployment models.

• 🛠️ Introduction to DevOps
  Explored DevOps principles, practices, and tools for CI/CD and infrastructure automation.

• 📊 Supervised Learning with Scikit-Learn
  Specialized in supervised learning techniques for regression and classification using Scikit-Learn.

• 📚 Understanding Data Science
  A foundational course covering data science concepts, tools, and applications.

• 🏆 Built Scalable IoT Solutions:
  Designed and developed IoT systems, including an IoT Environmental Monitoring System and a Modified LPG Valve with Motion Sensor and GSM Technology, addressing safety and efficiency challenges in real-world applications.

• 🤖 Pioneered AI-Driven Applications:
  Created an AI Customer Service Agent leveraging OpenAI APIs, integrated with scheduling tools like Cal.com, and optimized for real-time data retrieval and user engagement.

• 🔧 Developed Assistive Technologies:
  Engineered an Assistive Identifying System for Visually Impaired Students, significantly improving accessibility and independence for users at the Philippine National School for the Blind.

• 🚗 Enhanced Security with Embedded Systems:
  Implemented an Anti-Vehicle Theft System with GSM notifications and Google Maps integration, delivering a robust anti-theft solution for vehicle security.

• 📊 Streamlined Data Workflows:
  Automated ETL pipelines and data transformations using AWS Glue and SQL, enabling real-time insights and analytics for decision-making in financial reporting and other domains.

• 🎓 Empowered Learning with AI and Machine Learning Models:
  Delivered machine learning-powered solutions, such as a Raspberry Pi-based Image Processing System for bottle cleanliness inspection and clustering algorithms for pattern detection.

• 🛠️ Integrated Smart Devices for Automation:
  Developed a Smart Parking Management System backend integrating License Plate Recognition, RFID, NFC Readers, and Loop Detectors to improve parking efficiency and analytics.

• 🌟 Demonstrated Leadership in Project Management:
  Successfully led cross-functional teams, employing Agile methodologies with tools like JIRA and GitHub to deliver high-quality projects on time and within scope.

• 📚 Committed to Continuous Learning:
  Acquired certifications in Machine Learning, AI, DevOps, and Cybersecurity, ensuring expertise in cutting-edge technologies and industry best practices.

• Cloud: AWS (Glue, S3, Lambda), Azure (Functions, VMs), GCP
• DevOps: Docker, Kubernetes, GitHub Actions, Terraform
• Programming: Python, CircuitPython, MicroPython
• IoT Platforms: NVIDIA Jetson, Raspberry Pi, NodeMCU, ESP32
• Frameworks & Tools: Django, FastAPI, Flask, TensorFlow, OpenCV
• Database Management: CouchDB, PostgreSQL, MySQL, SQLite

I am eager to work on projects that challenge my skills in backend development, IoT, and machine learning. I thrive in collaborative environments where my contributions directly impact users and businesses.

• 🌐 Portfolio
• 📹 Video Resume
• 🎓 See All Certifications