cv

This section summarizes my core competencies. For detailed project history and a complete list of certifications, please explore my CV [here] and LinkedIn .

Basics

Name Errol W. Mamani Condori
Email wildr.10@gmail.com
Summary A Peruvian AI-ML Engineer, willing to learn all about AI and computational social science

Education

  • 2018.03 - 2020.05

    Arequipa, Peru

    M.S. in Computer Science
    Universidad Catolica San Pablo, Arequipa - Peru
    Computer Science
    • Minor in Computer Vision and Natural Language Processing. GPA: 3.2
  • 2009.05 - 2016.10

    Cusco, Peru

    B.S. in Information and System Engineering
    Universidad San Antonio abad del Cusco, Cusco - Peru
    Informatics and System Engineering
    • Ranked 3rd in graduating class, with an overall grade of 12.9/20 scale (equivalent to top 5 % of students)

Work

  • 2024.12 - 2025.11

    Miami, FL, USA

    Computer Vision Engineer
    Crown EAS Tech
    Built and deployed end-to-end AI systems, including real-time face recognition and people tracking optimized with ONNX/TensorRT for edge and cloud, LLM-based RAG chatbots for retail personalization, and internal tools for dataset management, annotation quality, and model monitoring to ensure reliable ML workflows.
    • End-to-end Computer Vision system
    • Inference optimization + acceleration
    • Agentic LLM-based + RAG system
    • Dataset creation + annotation
    • CI/CD for ML (MLOps)
    • Cloud Monitoring & observability
  • 2022.12 - 2024.10

    Luxembourg

    Computer Vision Engineer
    Ping4All
    Built a production-grade computer vision system for sports analytics, leveraging CUDA, PyTorch, C++/PyBind11, and multiprocessing to optimize real-time inference and latency, training and scaling experiments on HPC clusters with SLURM, and deploying Dockerized models on AWS with job scheduling, monitoring, and system-level orchestration for reliable AI infrastructure.
    • Computer Vision system
    • Real-Time Video Analytics
    • HPC (SLURM)
    • Dockerized models on AWS
    • Job Scheduling & monitoring
  • 2021.05 - 2022.05

    Arequipa, Peru

    Research Assistant
    RICS(Research and Innovation Center in Computer Science)
    Designed, implemented, and fine-tuned deep learning models for NLP using PyTorch, performing data analysis and visualization in Python within Dockerized environments, authoring peer-reviewed research papers, presenting results at conferences, and collaborating with multidisciplinary research teams to deliver reproducible and impactful NLP research.
    • Deep Learning Models
    • Data Analysis
    • Transformer Models
    • Representation Learning
    • Natural Language Processing
  • 2018.07 - 2020.05

    Arequipa, Peru

    Machine Learning Engineer
    Freelance Machine Learning Engineer
    Delivered end-to-end AI solutions spanning computer vision, NLP, and speech, including YOLO/SSD-based meter-reading systems with Flask APIs, BiLSTM-based text generation with OCR data pipelines, and comparative evaluation of speaker-identification models (SVM, GMM, HMM).
    • Computer Vision
    • Natural Language Processing
    • Speech Recognition
    • YOLO/SSD-based meter-reading systems
    • BiLSTM-based text generation
    • OCR data pipelines
    • Speaker-identification models (SVM, GMM, HMM)

Skills

Cloud
AWS:
ECS
S3
Lambda
SageMaker
Azure:
foundry
MLOps
Docker
FastAPI
github/gitlab
Jenkins
K8s
Prometheus
S3
Programming
Python
C, C++
JavaScript
Java
Matlab
GenAI
Langchain
LangGraph
OpenAI
flowise
PineCone
chromaDB
Faiss
Computer vision
Opencv
Numpy
Pandas
Matplotlib
Seaborn
Cuda
pytorch
Tensorflow
Keras
Scikit-learn

Languages

Spanish
Native speaker
Quechua
Native speaker
English
Advanced
Chinese
Basic

Certificates

Agentic LangGraphs
Udemy 2025-12-01
Azure Machine Learning
Udemy 2025-12-01
MLOps Fundamentals
Udemy 2024-12-01
LLMs as OS: Agent memory
Coursera 2024-12-01
AWS Machine Learning
Udemy 2024-10-01
Generative AI with LLMs
Coursera 2024-10-01

Volunteer

  • 2023.01 - 2024.08

    California, US

    Beginner in research
    Cohere for AI
    As beginner in research with Spanish native language i helped to improve Aya Project dataset.
  • 2022.01 - 2024.08

    California, US

    Co-Chair of lxnlp workshop
    Latinx in AI
    LatinX in AI (LXAI) bridges communities, academics, industry, and politicians working to further AI innovation and resources for LatinX individuals globally.
    • Awarded 'Travel grant' for promoting and help the organization.
    • NAACL 2024 registration free waver