# Jordan Ayala **AI Senior Engineer** — Asunción, Paraguay > AI engineer with 10+ years building conversational AI agents, mobile applications, and scalable backend systems across fintech, logistics, and e-commerce. Career Archetype: **Frontier Trailblazer** (RS-MG) — One of the first Frontier Trailblazers on Saywise ## Links - LinkedIn: https://linkedin.com/in/jordan-ayala ## Experience ### AI Software Engineer, Saywise (2024-06 – present) Los Angeles, CA · Leading development of conversational AI agents using machine learning and natural language processing. Built live event and streaming processing systems, integrating OpenAI, ElevenLabs, and Deepgram APIs. Architected scalable infrastructure handling high-volume interactions with low latency. ### Technical Lead, BairesDev (2022-02 – 2024-03) San Francisco, California, United States · Led a team of 10 engineers building a warehouse operations platform. Consolidated multiple data sources to Google BigQuery, reducing response times by 60%. Built real-time streaming applications with Kafka integrating microservices and warehouse providers. ### Senior Mobile Engineer, Voice (2021-04 – 2022-02) United States · Built an NFT marketplace application on the EOS blockchain serving thousands of customers. Developed JWT-based authentication infrastructure and led KYC service integration, significantly reducing bot accounts and improving user verification. ### Machine Learning Consultant, Consejo Nacional de Ciencia y Tecnología-CONACYT (2020-06 – 2022-01) Asunción, Paraguay · Provided guidance on research project grants and ML applications. Contributed to development of a diagnostic platform for early detection of diabetic retinopathy, working with a team of specialists. ### Data Scientist, Universidad Americana Paraguay (2020-06 – 2021-09) Asunción, Paraguay · Contributed to the creation of a platform to assist a team of experts in the early diagnosis of diabetic retinopathy (Keras, Python, NextJS). • Led the research multiple state-of-the-art algorithms for object detection and designed experiments to train and validate machine learning models. • Built a machine learning classification model with eye fundus images. • Built a REST API to provide diabetic retinopathy detection (Python, FastAPI, Keras). • Developed a web platform to acquire patients images and provide classification (NextJS, Typescript, Tailwind). ### Android Team Lead, SweatWorks (2019-09 – 2021-03) Washington, United States · Led a team of Android and QA engineers building and launching a fitness application. Mentored engineers on performance optimization and architecture best practices. ### Lead Mobile Engineer, Luke's Local (2019-03 – 2022-02) San Francisco Bay Area · Led development of an iOS and Android food ordering application, improving user experience and operational efficiency. Integrated Firebase and Mixpanel analytics for data-driven improvements. Designed and launched a referral program that drove user engagement and growth. ### Mobile Consultant, International Committee of the Red Cross - ICRC (2018-04 – 2019-08) Switzerland · Led the development of a privacy focused VPN application for a NPO (React Native, Typescript). • Created a cross-platform native middleware implementing the Wireguard VPN Protocol (Go, Rust). • Developed Native Android (Java) and iOS (Swift) apps. • Built a cross-platform App in React Native, interacting with the Native VPN Middleware (Rust). ### IT Consultant, Konecta S.A. (2016-12 – 2018-01) Paraguay · • Developed integrations for a AS/400 mainframe, integrating RPG codebase with modern Java solutions. ### Full Stack Developer, Multisoft (2015-02 – 2016-11) Paraguay · • Developed a Location-Aware Android Application for Logistics and Tracking. • Led the migration of a Legacy Management Reporting System (PowerBuilder) to modern Web App (Django, Express, JQuery). • Server administration of multiple Linux Servers (CentOS). ### Researcher, NIDTEC (2014-12 – 2015-02) Paraguay · I worked on multiple projects based on Digital Image Processing. • Worked on a Digital Image Processing System (Java EE) and implemented multiple morphological transformations with ImageJ. • Developed a System for Early Detection of Skin Cancer using Digital Image Processing (Java, ImageJ). ## Education ### Full Stack Web Development Certification in Computer Software Engineering, freeCodeCamp (2016-01 – 2017-01) ### Engineer's degree in Computer Software Engineering, Universidad Nacional de Asunción (2012-09 – 2016-06) • Received Full Tuition Scholarship for academic merit. • Thesis on intelligent stock market trading systems was published on a major scientific journal. ## Projects ### Technical Analysis Strategy Optimization Using Machine Learning Stock market index prediction · Researched and published a machine learning approach for optimizing technical analysis strategies in stock market indices. Work demonstrated the application of ML techniques to financial markets. ## Skills Artificial Intelligence (AI), Live Video Streaming, Software Architecture, Software Development, Payments, Remote Work, Data Structures, E-Commerce, Streaming Media, TypeScript, Analytics, Technology Leadership, Technical Staff Management, Apache Kafka, Stock Market Analysis, iOS Development, Android Development, Data Analysis, Business Intelligence, Machine Learning, OpenAI API, Amazon Web Services (AWS), Analytical Skills, HTML5, Docker, TensorFlow, Python (Programming Language), Next.js, Keras, Rust (Programming Language), NestJS, Google BigQuery, GraphQL, Blockchain, Spring Framework, Swift, Java, JavaScript, Node.js, Python, HTML, SQL, Prompt Engineering, AI Agents, Strategic Planning, Warehouse Logistics, Stakeholder Communication, Scrum, Kotlin, Shopify, GCP, React Native, React, MySQL, NoSQL ## Credentials - **Convolutional Neural Networks** — Coursera (issued 2021-01) - **Structuring Machine Learning Projects** — Coursera (issued 2020-12) - **Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization** — Coursera (issued 2020-12) - **Neural Networks and Deep Learning** — Coursera (issued 2020-12) - **Intro to Python for Data Science** — DataCamp - **Examination for the Certificate of Competency in English (ECCE)** — Cambridge Michigan - **Multiclass Diabetic Retinopathy Classification of Eye Fundus Images Small Datasets Performance Improvement – A Neuroevolution Approach** - **Technical analysis strategy optimization using a machine learning approach in stock market indices** - **Dataset from fundus images for the study of diabetic retinopathy** ## AI Stack - **Claude** — Daily driver (https://claude.ai) - **Claude Code** — Agentic coding (https://claude.com) - **Hermes** — Agentic Executive Assistant ## GitHub - Profile: https://github.com/jmayalag (@jmayalag) - Public repositories: 44 - Contributions in the past year: 631 - Top languages: TypeScript, Ruby, JavaScript, HTML, Kotlin - Pinned: **covid19-scrape** — Covid-19 py scraper (2 stars, 0 forks) https://github.com/jmayalag/covid19-scrape - Pinned: **PINV18_846-Experiments** — PINV18-846: Diabetic Retinopathy Detection Experiments (0 stars, 0 forks) https://github.com/uamericana/PINV18_846-Experiments - Pinned: **seer** (0 stars, 0 forks) https://github.com/jmayalag/seer --- Source: https://saywise.com/jordan (last modified 2026-08-19T14:50:42.811Z)