LetItGrow Research Project
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Summary
A comprehensive research project exploring innovative solutions related to growth monitoring or agricultural technology, culminating in significant academic recognition.
Highly accomplished Licensed ECE & ECT professional with a robust background in full-stack software development, machine learning engineering, and analog IC design. Proven ability to leverage expertise in Python, Java, and C++ to develop innovative solutions, optimize complex systems, and lead technical initiatives that drive significant operational efficiency and product enhancement.
Software Engineer
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Summary
Drives full-stack software development at SnapMagic, integrating advanced AI/ML capabilities and optimizing backend systems to enhance design automation and electrical engineering workflows.
Highlights
Developed and implemented sophisticated circuit auto-wiring algorithms, leveraging matrices and pathfinding, to significantly streamline design processes and boost engineering efficiency.
Engineered a ChatGPT-4 vision object classification system specifically tailored for schematic components, achieving high accuracy in automated recognition and categorization.
Successfully trained and deployed an object detection model utilizing Yolov8 and Roboflow, enhancing automated component identification and accelerating design validation processes.
Automated critical CAD tool functionalities, streamlining engineering workflows and reducing manual effort by an estimated 20-30% in design cycles.
Contributed to robust backend and front-end development, ensuring seamless UI/UX and scalable system performance through expertise in Python, Java, C++, and HTML.
Machine Learning Engineer
Philippines
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Summary
Led machine learning initiatives at Analog Devices, focusing on data analysis, natural language processing, and model development to optimize testing processes and derive actionable engineering insights.
Highlights
Reduced test time for ADC/DAC testers by approximately 15% through the development and application of advanced machine learning models, significantly improving operational efficiency.
Designed and implemented a Deep Neural Network for Schematic2 Behavioral Modelling, enhancing simulation accuracy and accelerating design verification by improving prediction capabilities.
Developed and deployed an Error Parser utilizing Natural Language Processing (NLP), improving the efficiency of error identification and resolution by 25% in complex data sets.
Implemented sentiment-based text classification models to analyze engineering feedback, providing critical insights that informed product improvements and strategic decisions.
Led and mentored a team of 5 machine learning enthusiasts, fostering skill development and collaborative project execution, resulting in successful project deliveries and knowledge transfer.
Analog IC Design Engineer
Philippines
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Summary
Contributed to the design, verification, and automation of analog integrated circuits at Analog Devices, applying expertise in circuit analysis, testing methodologies, and Python scripting.
Highlights
Performed detailed circuit and schematic analysis and design for analog ICs, ensuring adherence to stringent performance specifications and industry standards.
Utilized C, C++, Verilog, and SystemVerilog within a Linux environment for efficient design, simulation, and verification processes, contributing to project timelines.
Conducted comprehensive connectivity and functionality verification for Automated Test Equipment (ATE), ensuring robust system performance and reliability across multiple projects.
Automated the creation of test scripts and procedures using Python, reducing manual effort by 30% and significantly accelerating test development and validation cycles.
Member
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Summary
Actively participated in Toastmasters Club activities, developing public speaking and leadership skills.
President
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Summary
Led the IECEP student chapter, overseeing operations and initiatives for electronics engineering students.
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Bachelor of Science
Electronics Engineering
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High School Diploma
Awarded By
Holy Angel University
Recognized for exceptional academic performance and contributions within the Electronics Engineering program.
Awarded By
Holy Angel University
Consistently achieved high academic standing, earning recognition on both the Dean's and President's lists.
Awarded By
Holy Family Academy
Awarded for graduating with distinction, demonstrating exceptional academic achievement throughout secondary education.
Awarded By
Holy Family Academy
Maintained high academic performance, consistently earning a place on the honor roll during high school.
Python, Java, C++, C, HTML, Verilog, System Verilog, SQL.
Machine Learning, Supervised Learning, Unsupervised Learning, Deep Neural Networks, Yolov8, Roboflow, ChatGPT-4, Object Classification, Object Detection, Natural Language Processing (NLP), Text Classification, Sentiment Analysis.
Front-End UI Development, Backend Development, API Integrations, Unit Testing, Automation (CAD Tools, Test Creation), Linux Environment, Heroku, Github, Trello, Cloudflare, Analytics, New Relic, Bitwarden, Slite, pgadmin.
Data Visualization, Data Entry, Data Processing, Data Manipulation, Data Cleaning, Dimensionality Reduction.
Circuit Analysis, Schematic Design, Analog IC Design, Automated Test Equipment (ATE), Connectivity Verification, Functionality Verification.
Leadership, Teamwork, Problem-Solving, Innovation, Continuous Learning, Public Speaking.
Graphic Design, UI Design (Android App).
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Summary
A comprehensive research project exploring innovative solutions related to growth monitoring or agricultural technology, culminating in significant academic recognition.