Computer Vision Developer

• Oct 2021 - Present

○ Object Detection Expertise: Implemented and fine-tuned state-of-the-art object detection algorithms such as YOLO, EfficientDet, and Faster-RCNN. Achieved unprecedented levels of accuracy in detecting a variety of dental issues including cavities and periapical abscesses in dental x-rays. ○ Semantic Segmentation: Engineered a comprehensive training pipeline for semantic segmentation models. Utilized frameworks like U-Net and DeepLabV3 to successfully train models on limited datasets, surpassing industry benchmarks. ○ Cloud Deployment: Seamlessly deployed trained models into Google Cloud Platform (GCP) using BentoML, facilitating real-time analysis and scalability. ○ AI Research Enhancement: Innovated research methodologies by incorporating visualization techniques for dental x-rays and applying self-supervised pretraining. Achieved a 10% improvement in key performance metrics through the strategic use of unlabeled datasets. ○ Regulatory Compliance & Documentation: Spearheaded the documentation process for solution designs, clinical trials, and FDA clearance, ensuring that our AI solutions meet the highest industry and legal standards. Show less

Head of Research and Development (Artificial Intelligence)

• Jun 2023 - Oct 2023

○ Team Leadership and Mentoring: Managed and led a high-performing team of AI engineers. Provided mentorship aimed at enhancing skill sets and aligning project objectives, thereby fostering a culture of continuous innovation. ○ Cross-Functional Coordination: Acted as the primary liaison between the AI R&D team and web development units. Orchestrated the seamless synchronization of API endpoints across different departments, ensuring coherent and efficient workflows. ○ Strategic Decision-Making: Assumed the role of Acting CTO, overseeing technical strategies and decisions across the organization. Provided guidance on technology stacks, scalability, and innovation pathways, ensuring alignment with the organization's objectives. ○ Image Generation Specialization: Developed and implemented a state-of-the-art image generation model service utilizing Stable Diffusion models. Utilized cutting-edge technologies such as LoRA and textual inversions for superior model performance. ○ Operational Excellence: Led the deployment of machine learning models into production environments. Utilized MLOps services like BentoML for robust and efficient deployment, with a particular focus on GPU-intensive tasks. Show less

Machine Learning R&D

• Jul 2021 - Jul 2023

○ Innovative Research: Spearheaded groundbreaking research in diverse Machine Learning sectors. Areas of expertise include Generative Models (GANs, Controllable Generation), Object Detection, Image Processing, as well as CLIP and Diffusion Models. ○ End-to-End Deep Learning Pipelines: Conceived and executed comprehensive deep learning pipelines. Developed efficient processes for image clustering, filtering, and a streamlined model training workflow that resulted in high-quality models. ○ Library Optimization: Re-engineered popular libraries like StyleGAN, StyleCLIP, and Stable Diffusion to achieve specific goals. Reduced manual captcha challenge generation time from two weeks to a single day through automated, infinitely variable generated challenges. ○ Scalable ML Pipeline Construction: Utilized Kubernetes and Argo Workflows to architect robust, scalable machine learning pipelines. Enabled distributed text-to-image generation via diffusion models, which expedited the process of ideation to production integration from three months to one day. Expert in: Pytorch, Kubernetes, Argo Workflows, and various deep learning/computer vision libraries." Show less

Computer Vision Consultant, Project Staff

• Mar 2020 - Apr 2023

Project Related to Automated Detection of Pavement Faults and Distresses on Philippine Roads with Deep Learning and Computer Vision System Design & Implementation: Conceived and deployed a sophisticated object detection, localization, and tracking system for Project PAVE—a 2-year initiative funded by the Department of Science and Technology (DOST). The project aims to revolutionize road infrastructure maintenance in the Philippines through the development of automated road condition survey equipment. Deep Learning & Computer Vision: Utilized cutting-edge Deep Learning and Computer Vision techniques to accurately identify, locate, and track various forms of pavement faults and distresses on Philippine roads. Infrastructure Impact: Contributed to the long-term objective of enhancing road safety and infrastructure durability by providing a machine-driven, data-rich approach to road maintenance and preservation. Show less

Computer Vision Consultant

• Oct 2021 - Jan 2022

AI and Python Tutor

• Apr 2021 - Oct 2021

I help students and tutees with their questions about Artificial Intelligence, Machine Learning, Python Programming, Computer Science, MySQL, and Object-Oriented Programming by giving them detailed, easily understandable, easy-to-follow answers to their questions. I help students and tutees with their questions about Artificial Intelligence, Machine Learning, Python Programming, Computer Science, MySQL, and Object-Oriented Programming by giving them detailed, easily understandable, easy-to-follow answers to their questions.

Data Engineer/Data Scientist

• Jul 2019 - Jun 2021

○ Rebuilt entire ETL data engineering pipeline that processes hundred millions of import data from raw files to Data Lake into Elasticsearch using AWS Glue and Apache Spark ○ Created an entity deduplication algorithm for matching conceptually similar company names ○ Created an end-to-end text classifier for identifying persons from the list of import consignees using Spark MLLib ○ Creates visualizations, finds patterns, generate insights, and formulate predictive analysis from trade data using pandas, Quicksight, pyplot Show less

Research And Development / Software Engineer

• Aug 2017 - Jun 2019

- Creates Acceptance Criteria, Test Plans, and other documents for the whole process of SW development - Develops/Codes features committed for the sprint - Creates test cases, and tests modifications, unit tests - Handling and fixing of submitted prontos/bugs - Part of a Scrum Team - Expertise in C/C++ and Linux commands and Mobile Network architecture and protocols such as 4G/LTE - Uses tools such as Crucible, Git, Tortoise SVN, CLang, Jenkins, Gerrit, JIRA - Creates Acceptance Criteria, Test Plans, and other documents for the whole process of SW development - Develops/Codes features committed for the sprint - Creates test cases, and tests modifications, unit tests - Handling and fixing of submitted prontos/bugs - Part of a Scrum Team - Expertise in C/C++ and Linux commands and Mobile Network architecture and protocols such as 4G/LTE - Uses tools such as Crucible, Git, Tortoise SVN, CLang, Jenkins, Gerrit, JIRA