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Jeremias A. — Mid-Level Full Stack Engineer from Argentina

Jeremias A.

Mid-Level Full Stack Engineer

Argentina 6+ years
Open to offersNew to Platform
Languages
English
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About

Jeremias A. is a Senior Full Stack Engineer based in Argentina with a proven record in developing scalable web applications using Python, Node.js, and React across public sector, e-commerce, and technology domains. At the City Park Authority in Florida, he engineered AI-powered chatbots and responsive web platforms by integrating React, Next.js, and backend frameworks like Django, Flask, and Express.js, optimizing services for Oracle Cloud Infrastructure. Previously at Net at Work in New York, Jeremias built AI-driven product recommendation systems and managed high-traffic APIs with FastAPI and GraphQL, leveraging AWS serverless solutions and vector databases such as FAISS and Pinecone to improve search result relevance and reduce costs. His background also includes frontend development at Arctiq and AsiaPac, utilizing Vue.js and Material UI to enhance UX for technology clients. He holds certifications in React, Node.js, Python, and AWS.

Experience

  • Senior Software Engineer

    City Park Authority · 2023 — Present
    Created a responsive web application leveraging Python (Django, Flask, FastAPI) and Node.js (Express.js) for services on Oracle Cloud Infrastructure (OCI). Developed AI-driven chatbots utilizing Rasa, Dialogflow, and LangChain, incorporating LLMs to enhance automated customer support. Integrated React and Next.js with FastAPI and Express.js, facilitating effective communication between frontend and backend for improved real-time data processing and user interaction. Designed RESTful APIs and GraphQL services with FastAPI, Django REST Framework (DRF), and Node.js (Express.js). Automated CI/CD pipelines through Docker, Kubernetes, Playwright, and Jenkins to enhance deployment efficiency.

  • Full Stack Developer

    Net at Work · 2021 — 2023
    Engineered AI-driven recommendation systems with LangChain and LlamaIndex, which enhanced search relevance. Established backend services using Python (Django, Flask) and Node.js (Nest.js), managing over 500K API requests daily through GraphQL and FastAPI. Integrated vector databases like FAISS and Pinecone to enable semantic search for e-commerce product recommendations. Employed serverless computing with AWS Lambda, S3, and DynamoDB, optimizing infrastructure costs.

  • Frontend Developer

    Arctiq · 2020 — 2021
    Developed user interfaces using React and Vue.js, enhancing responsiveness. Collaborated with backend engineers on PHP-based APIs to ensure smooth data integration. Constructed UI components with Material UI to maintain design consistency.

  • Frontend Developer

    AsiaPac · 2019 — 2020
    Engaged in the development of frontend solutions, focusing on user interface design and implementation.

Skills & Expertise

Full Stack Developer

Education

  • Bachelor's degree, Computer Science
    Hong Kong University of Science and Technology · 2015 — 2019

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