R

RAUL E. PENA

About

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Machine Learning Engineer
Dominican Republic
Contact RAUL regarding: 
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Full-time jobs
Starting at USD4k/month

Timeline

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Job
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Education

Résumé

Jobs verified_user 0% verified
  • M
    Machine Learning Engineer - AI Applied Scientist public Remote experience
    Nov 2024 - Current (1 year 6 months)
    ▪ Conducted cutting-edge research and development in the field of Large Language Models (LLMs), exploring novel architectures, training methodologies, and applications. ▪ Engineered and deployed production-grade LLM-powered applications, including text summarization tools, conversational AI chatbots, and RAG systems for improved information retrieval and knowledge access. ▪ Leveraged AWS Bedrock and Lambda Functions to rapidly develop and deploy scalable LLM-powered applications.
  • A
    Machine Learning Engineer
    AR247(Autonomous Robot 247),
    Mar 2023 - Current (3 years 2 months)
    Optimized and fine-tuned computer vision models for real-time delivery robot navigation and collision avoidance. • Evaluated in-house dataset using feature selection algorithms (histogram analysis, unique embedding) to eliminate duplicates images. This reduced dataset size by 75%, reducing training time from 4 hours to 1 hour. • Researched and developed AI models for real-time Object Detection, Semantic Segmentation, Image Matching and Multiple Object Tracking tasks on constrained devices using Python and C++. •
  • I
    AI Research Assistant
    IoT & AI Lab
    Feb 2021 - Feb 2023 (2 years 1 month)
  • C
    Mid-Senior System Engineer (Performance Analytics)
    Claro Telecomunicaciones
    Sep 2018 - Feb 2021 (2 years 6 months)
    • Spearheaded the introduction of user behavior reports by integrating iOS and Android AI agents to MiClaro App serving over 3M daily users. This motivated the design of new application features that reduced user Bounce Rate by 22%. • Proactively analyzed Time-Series data of application performance in production environment to detect Trends, Seasonality and Frequency patterns of incidents. Suggesting improvements that led to a 40% reduction in helpdesk incidents report over a year. • Deployed and monitored the performance of 50+ Java applications infrastructure (web services, API', cluster, load balancers, HTTP Proxys) on production. Used Python & Bash to automate system configurations. • Launched the first AI voice assistant in the dep
  • D
    IT Consultant (Application Monitoring)
    Datcom4it,
    Jan 2017 - Aug 2018 (1 year 8 months)
    • Designed and deployed application performance monitoring (APM) solutions for clients in the banking and telecom industries. Presented APM solutions to executives and technical staff, assisting in the pre-sales process.
  • Dynatrace
    Associate
    Dynatrace
Education verified_user 0% verified
  • K
    MSc. Internet of Things & Artificial Intelligence
    Korea University
    Mar 2021 - Feb 2023 (2 years)
    Master Thesis - Reinforcement Learning in Autonomous Vehicles: Developed a Partially Observable Markov Decision Process (POMDP) model that leverages Multi-Agent Reinforcement Learning to enhance cooperative lane-changing decision-making in autonomous vehicles. This approach, implemented and tested within simulated OpenAI Gym environments, resulted in a 20% reduction in travel time.
  • Pontificia Universidad Católica Madre y Maestra
    Big Data Analytics
    Pontificia Universidad Católica Madre y Maestra
    Oct 2020 - Dec 2020 (3 months)
  • E
    Big Data Hadoop Certification Training
    Edureka C.A
    Jul 2020 - Oct 2020 (4 months)
  • Dongseo University
    ICT Convergence (AI, Computer Vision, IoT)
    Dongseo University
    Jul 2018 - Aug 2018 (2 months)
  • Instituto Tecnológico de Santo Domingo
    B.S
    Instituto Tecnológico de Santo Domingo
    Nov 2014 - Apr 2019 (4 years 6 months)
  • ETS
    TOEFL iBT: Advanced (102/120)
    ETS
  • A
    Application Monitoring
  • Huawei
    HCIA Cloud Service Associate
    Huawei
Projects (professional or personal) verified_user 0% verified
  • T
    Traffic Light Recognition project
    Lead the research and development of traffic light recognition system for robot navigation on city sidewalks, securing Korean government regulation test for outdoor operation.
  • R
    Reinforcement Learning in Autonomous Vehicles
    Developed a Partially Observable Markov Decision Process (POMDP) model that leverages Multi-Agent Reinforcement Learning to enhance cooperative lane changing decision-making in autonomous vehicles. This approach, implemented and tested within simulated OpenAI Gym environments, resulted in a 20% reduction in travel time. (Link)