Mapúa University1st Year AI Engineering Student

Wrenz Tolentino — 1st Year AI Engineering Student at Mapúa University

Undergraduate engineer at Mapúa University concentrating on machine learning foundations, neural computing, deep learning architectures, and data structures. Actively researching computer vision models, agent systems, and reliable algorithmic design.

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Year 1

AI Engineering • Mapúa

Core AI

ML & Neural Modeling

Applied

PyTorch & Computer Vision

AI engineering student training models and reviewing neural network metrics in laboratory

Neural Lab & Vision Cluster

PyTorch & Distributed Training

Active
AI Engineering Profile

Applied competencies for intelligent scale

Architecting end-to-end intelligent systems: from foundational mathematical models and deep representations to distributed training and production MLOps.

Core Modeling
Statistical Inference
Machine Learning
Developing robust supervised, unsupervised, and reinforcement learning models optimized for predictive accuracy and generalization.
Key Technologies:
PyTorchTensorFlowScikit-LearnXGBoostStatistical ModelingFeature Engineering
Generative AI
Neural Architectures
Deep Learning & LLMs
Architecting transformer pipelines, generative foundation models, and retrieval-augmented generation (RAG) agent systems.
Key Technologies:
Hugging FaceLangChainVector DBsTransformersRAG PipelinesLoRA / PEFT
Spatial Systems
Perception & Control
Computer Vision & Robotics
Engineering spatial computing, real-time object detection pipelines, visual feature extraction, and embedded edge perception.
Key Technologies:
CUDAOpenCVONNXTensorRTYOLOEdge AI
Production Ready
Production Infrastructure
MLOps & Distributed Systems
Building production-grade continuous training pipelines, low-latency model serving clusters, and containerized deployment fleets.
Key Technologies:
DockerMLflowKubernetesRay DistributedFastAPICI/CD for AI
4
AI Engineering Domains
24+
Core Tools & Libs
Sub-50ms
Target Inference
Production
Verified Pipeline
// 02. ACTIVE_DEPLOYMENTS

Featured Showcase

Real-world implementations, active system architectures, and upcoming engineering initiatives.

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LIVE PRODUCTION SYSTEMRELEASE v1.0.4

Wrenz Tolentino Portfolio & Digital Identity System

A modern personal portfolio built with a dark tactical Valorant-inspired aesthetic. Engineered to document collegiate milestones, computer science coursework, and academic research logs with modular components and high-performance client rendering.

Technical Architecture & Stack
01
React 19Core Framework
02
Tailwind CSSTactical Design System
03
TypeScriptType-Safe Architecture
04
Framer MotionMicro-Interaction Engine
Explore SystemView Academic Journey
SYSTEM_TELEMETRYSTATUS: OPTIMAL
Framework VersionReact 19.x (Canary/Latest)
Styling EngineTailwind CSS v4 (Inline Theme)
Animation FrameFramer Motion v12
Type SafetyTypeScript 5.x Strict Mode
DEPLOYED ON EDGE100% AUDIT READY
PIPELINE_IN_PROGRESSAI Engineering Log

1st Year AI Engineering Projects in Development

Coursework repositories, Python neural network benchmarks, and introductory model implementations are currently being documented and curated. Live project releases and interactive telemetry will be featured soon.

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