Junior Software Engineer / Junior AI Engineer / Y(Combinator S26)
Davao del Sur
⭐ National Champion & Gold Medalist in AI (WorldSkills / TESDA 2026) | ASEAN Qualifier I am a Full-Stack Software Engineer and AI/ML Developer who bridges the gap between machine learning models and high-performance production web systems. I don't just build prototypes—I architect, optimize, and ship scalable end-to-end applications. Here is what I can build for your business: 🚀 Full-Stack Web Development: • Modern frontend web platforms using Next.js 15, React, TypeScript, and Tailwind CSS (fluid responsive design with CSS clamp, 90+ Lighthouse score) • Headless CMS architectures (Directus) with Incremental Static Regeneration (ISR) • High-performance, secure REST APIs using FastAPI, Express.js, and PostgreSQL • Automated CI/CD deployment pipelines (GitLab, GitHub Actions, Docker, AWS S3/CloudFront) 🤖 Generative AI & Machine Learning: • Custom RAG pipelines and knowledge retrieval using LangChain, LlamaIndex, and Vector DBs • Multi-agent automation workflows with CrewAI and LangGraph • Edge AI model optimization and deployment (ONNX, OpenVINO IR, sub-100ms inference) • Predictive modeling and data engineering with PyTorch, scikit-learn, Polars, and Pandas 🏆 Proven Track Record: • Shipped 4 production web applications for US enterprise clients (CITC), improving page-load performance by 30–40%. • 1st Place & National Gold Medalist in AI: Engineered an end-to-end flood alert system under 3-day timed constraints (95.76% accuracy, OpenVINO edge deployment). • Built Loop Engineer, an automated CI/CD triage agent integrating LLMs with Slack, Teams, and Jira. Certified: Microsoft Certified Azure AI Engineer Associate (AI-102) | Anthropic AI Fluency | AWS GenAI Let's discuss your project goals. Send me an invite or message, and let's turn your ideas into production-ready software!
CIRCA, internship
Aug 2026 to Sep 2026
Built and integrated enterprise API microservices for production service-to-service communication. • Engineered secure RESTful endpoints and custom API integrations using TypeScript, Express.js, and Node.js. • Orchestrated automated data processing pipelines with Kubeflow in a distributed cloud architecture. • Delivered a fully functional, certified API integration project within a high-intensity 15-day sprint cycle. Tech Stack: TypeScript, Node.js, Express.js, Kubeflow, REST APIs, System Architecture, Docker.
Kinetrexa Software Private Limited, contract
Jul 2026 to Aug 2026
Architected and deployed end-to-end machine learning pipelines from raw data to validated models. • Developed data preprocessing and feature extraction pipelines using Python, NumPy, and Pandas. • Trained and tuned supervised ML models with XGBoost and scikit-learn, optimizing per-class evaluation metrics. • Instrumented MLflow and Kubeflow for version-controlled experimentation, metric tracking, and model registry. Tech Stack: Python, XGBoost, scikit-learn, NumPy, Pandas, Kubeflow, MLflow, MLOps.
BookMI, contract
Jan 2026 to Mar 2026
Contributed to core full-stack software development and product growth in a fast-paced startup environment. • Developed backend features, database queries, and bug fixes using PostgreSQL and modern backend tooling. • Automated testing workflows and codebase deployment checks utilizing GitLab CI/CD pipelines and Git. • Collaborated closely with senior engineering leads across agile sprint cycles to ship rapid product improvements. Tech Stack: PostgreSQL, GitLab CI/CD, Git, Full Stack Development, Agile/Scrum, Software Debugging.
General Contractors, contract
Nov 2025 to May 2026
Engineered and deployed machine learning microservices for construction cost estimation and predictive analytics. • Developed and trained an XGBoost regression model using Python, achieving R² = 0.85 on 1,000+ historical records. • Built automated data preprocessing pipelines using Pandas and NumPy to extract material and labor cost features. • Deployed containerized microservices with FastAPI async endpoints on AWS and Azure. • Implemented strict Pydantic schema validation to secure API inputs, improving service reliability and eliminating data errors. Tech Stack: Python, XGBoost, scikit-learn, FastAPI, Docker, AWS, Azure, Pandas, NumPy.
Cornerstone International Technologies (CITC), full_time
Aug 2024 to Present
Architected and shipped 4 production web applications using Next.js 15, TypeScript, and Tailwind CSS for US enterprise clients. • Translated Figma designs into reusable, accessible UI components with fluid responsive scaling (CSS clamp()). • Boosted page-load performance by 30–40% through route-level code splitting and next/image optimization. • Integrated Directus Headless CMS via REST APIs with Incremental Static Regeneration (ISR) for dynamic content caching. • Architected GitLab CI/CD pipelines with OIDC authentication to automate deployments to AWS S3 and CloudFront. • Configured Express.js middleware with Google reCAPTCHA Enterprise to defend public endpoints against automated bot traffic. Tech Stack: Next.js 15, React, TypeScript, Tailwind CSS, Directus CMS, GitLab CI/CD, AWS S3, CloudFront.
Brinicle AI, contract
Jun 6 to Jul 2026
Developed core machine learning and deep learning pipelines for real-world predictive applications. • Engineered and evaluated classification and regression models using Python, scikit-learn, and TensorFlow/Keras. • Designed automated feature engineering pipelines and handled dataset normalization to prevent data leakage. • Conducted model diagnostic evaluations using confusion matrices, ROC-AUC curves, and cross-validation. Tech Stack: Python, TensorFlow, Keras, scikit-learn, Feature Engineering, Neural Networks, Deep Learning.