Vector Ridge Labs
Career

My Journey

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Work Experience

Jan 2026 – PresentPresent

Senior AI Engineer

Plain Concepts

Azure AI FoundryMulti-AgentComputer Vision
  • Designing and implementing AI agents for object identification and classification using Azure AI Foundry.
  • Building multi-agent workflows for document understanding and automated decision pipelines.
  • Integrating cloud-native services for scalable inference and processing.
  • Collaborating with cross-functional teams on enterprise production solutions.
Jul 2024 – Jan 2026

Machine Learning Engineer

Zazmic

GCPLLMsComputer VisionVertex AI
  • Designed and implemented GenAI and multi-agent systems on GCP.
  • Developed computer vision pipelines and LLM-based production workflows.
  • Conducted model benchmarking and architectural evaluation for AI stack optimization.
Aug 2022 – Apr 2025

Senior AI Developer

Arroyo Consulting

ServerlessGenAIMLOpsMulti-Agent
  • Designed and implemented serverless pipelines and cloud AI services.
  • Led internal AI transformation initiatives with GenAI technologies.
  • Developed multi-agent orchestration frameworks.
  • Accelerated AI adoption through reusable POCs and internal tooling.
Aug 2023 – PresentPresent

AI Developer

Quanta Solutions

LangChainRAGTTSMulti-Agent
  • Developed LLM-based applications using LangChain, vector databases, and cloud APIs.
  • Implemented TTS, voice cloning, object detection, and image/video generation solutions.
  • Designed multi-agent architectures for automation and decision support.
Nov 2023 – Aug 2024

LLM Consultant

Securitec & YaVendio

LLMInference OptimizationVector Search
  • Optimized LLM inference pipelines through caching and parallelization.
  • Implemented semantic retrieval systems based on vector databases.
Mar 2022 – Dec 2022

Data Science Analyst

MiBolsillo App

ClusteringPredictionData Analysis
  • Developed clustering and user behavior prediction models.
  • Statistical analysis and data extraction for product analytics.

Research

May 2024

AI Master's Advisor

UTEC

MLFine-tuningTeaching
  • Designed practical sessions on applied ML, fine-tuning, and real-world AI use cases.
Aug 2022

Research Collaborator — Potato Classification

CIP – UTEC

YOLOCNNDataset CurationMobile
  • Published open datasets for native potato recognition.
  • Developed a mobile image recognition prototype.
  • Supported dataset labeling and curation.
  • Trained and optimized YOLO and CNN models.

Education

2018 – 2023

Bachelor of Science in Computer Science

Universidad de Ingeniería y Tecnología (UTEC)

  • Graduated with focus on AI, machine learning, and distributed systems.
  • Research involvement in computer vision and applied ML.

Certifications

Professional ML Engineer — GCP
Neo4j Certified Professional