Data Science Machine Learning
Resume:
OCTAVIO HECTOR JUAREZ ESPINOSA
*******@***.*** 412-***-**** 24 SchonoG Ln, Cape Girardeau, MO 63703
**Goal:**
Applied practitioner with a long track record of architecting and building sophisticated solutions leveraging cutting-edge programming and cloud technologies. Highly skilled and knowledgeable software designer and developer capable of leading and guiding teams to create world-class technology solutions.
**Career Experience: **
**SOUTHEAST MISSOURI STATE UNIVERSITY, Cape Girardeau, MO** Visiting Professor, Department of Computer Science August 2024 – Present
* Teaching in the master program: Machine Learning and Data Mining.
* 2025 Fundamentals of Accelerated Computing with CUDA C/C++. Course refresh
**USPTO, Alexandria, VA**
Patents Examiner September 2023 – May 2024
**InDepth Engineering, Columbia, MD**
Software Engineering October 2022 – September 2023
**CEI America, Pittsburgh, PA**
Architect Data Science (AWS, Azure, Google Cloud) June 2022 – September 2022
* Built data science solutions using AWS architectures.
* Built data architectures for data science solutions using Azure technologies.
* Built data science solutions using Google Cloud.
* Domains: Healthcare solutions (Digitalized hospital systems, emergency systems) and retail stores.
**United States Agency for International Development (USAID), Washington, DC** Artificial Intelligence Specialist (Dev Tech Systems Inc Full Time) June 2019 – April 2022
* Worked on data engineering models:
* Developed architecture and models with mission evaluations.
* Developed Natural Language Systems for Survey Analysis and Sentiment Analysis.
* Created a system to store S3 models activated by events, feeding the system.
* Developed NLP models for summaries and sentiment analysis.
* Architected AWS cloud systems for cybersecurity (Anomaly Detection Systems for Network TraGic):
* Designed architectures to include network traGic.
* Utilized firewall data to detect traGic problems.
* Designed architectures for data processing, feature extraction, and learning models for threat detection.
* Implemented streams (Amazon Kinesis Data Streams), AWS Glue, Spark EMR, outputting features every 2 hours and storing information in S3 buckets.
* Utilized pipelines and step functions.
* Implemented AWS Lambda in various steps.
* Coded models using AWS SageMaker to discriminate threat events.
* Defined a notification system for security events.
* Successfully developed eGective AI systems for cybersecurity.
* 2023 Fundamentals of Accelerated Computing with CUDA C/C++. Training taken at GTC NVIDIA
**Capital One, McLean, VA**
Motion Recruiters (Contractor) April 2019 – May 2019
**National Institutes of Health, Rockville, MD**
Scripting Developer (Medical Science and Computing) September 2013 – December 2018
* Architected cloud-based solutions for healthcare applications leveraging big data:
* Built an architecture to process data in 7 countries (RDS databases, S3 buckets for genomics, X-rays, and CT scans).
* Built pipelines (Cloud Formation, infrastructure as code) for PII data cleaning, X-ray segmentation, feature computation, classification algorithms, and deep learning pipelines.
* Processed 8TB data lots using NoSQL DB, Spark, and EMR for data labeling.
* Built a data system for symptom-based data search.
* Developed high-performance applications using various technologies.
* Created open-source tools for High-Performance systems in Computational Biology.
* Developed software in CUDA to improve performance in the clusters.
**The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA** Research Programmer April 2008 – July 2013
* Developed software for motion control of manufacturing robots and speech-based systems.
* Researched, analyzed, and implemented new technologies.
* Developed software for rendering in computer graphics and graphics for video games.
**Additional Experience:**
* Technical StaG, Social Sciences Department, Carnegie Mellon University, Pittsburgh, PA.
* Postdoctoral Fellow, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA.
* Postdoctoral Fellow, Social and Decision Sciences Dept., Carnegie Mellon University, Pittsburgh, PA.
* Postdoctoral Fellow, The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA.
* Teaching Assistant, Civil Engineering, Carnegie Mellon University, Pittsburgh, PA.
**Technical Proficiencies:**
* **Platforms:** Linux, macOS, Windows, QNX, ROS, Apache Tomcat, Glassfish, Oracle Grid Engine
* **Web Services:** AWS, Google Cloud, Azure Cloud
***Tensorflow, Pytorch, Keras, OpenAI
* **Languages:** Java, JavaScript, R, LaTeX, SQL, C++, Python, PHP, CUDA, Perl, Hadoop, PySpark, Go
* **Development Tools:** Emacs, SVN, Git, JUnit, Purify, Eclipse, Angular, jQuery, Drupal, OpenCV, D3, GWT
**Education & Certifications:**
* Ph.D., Computer Aided Engineering, Carnegie Mellon University, Pittsburgh, PA, 1999
* **Certifications: **
* Scrum Master, Scrum Alliance
* Deep Learning Specialization, Coursera.org
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