Team
WeAreTooStoopidToFindAJob
Project Concept
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Entry
Status: Submitted
Last saved: May 09 at 4:52 PM -05
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Thomas Martinez Velasquez Team Lead RSVP Approved
Student at Universidad Nacioanl
AI Engineer
The AI Engineer contributes to the design and intelligent behavior of the multi-agent system. At MED, they would be responsible for implementing LangGraph/ReAct-based agents, defining reasoning strategies, delegation, and tool usage, as well as integrating models such as Gemini and Groq. They would also work on prompts, context management, secure interface generation using A2UI, and the logic that transforms questions into SQL queries, data analysis, and dynamic dashboards. Their role is fundamental for the system to automatically produce useful, coherent, and contextualized responses.
I am a mathematics student at the national university
machine learning, data sciencie
Research in the field of vector subspace learning, and personal projects with chatbots using generative AI and RAG
Marcos Nuñez Isaza RSVP Approved
Estudiante at Unal
Frontend Developer
The frontend developer is responsible for building the user's visual and interactive experience. In this project, they would work on integrating React with the A2UI renderer, creating and maintaining the catalog of secure components that the agent can use (charts, tabs, cards, layouts, etc.). They would also optimize the progressive rendering of real-time dashboards and the integration with Apache eCharts for dynamic visualizations. Their work is key to ensuring a fluid, intuitive, and highly interactive interface, even when the content is entirely generated by AI agents.
I am currently studying in the Universidad Nacional de Colombia sede Medellin, and I am eager to learn a lot of new things
Data science, data analyst and data Engineer
I am currently thinking of making a model that understand sign language with the camera
Carlos Padilla RSVP Approved
Student at Universidad Nacional de Colombia
Backend Developer
A backend developer primarily contributes to building and orchestrating all system logic. At MED, they would be responsible for designing the service architecture using FastAPI, managing communication between agents using LangGraph, connecting the system to PostgreSQL via SQLAlchemy, and ensuring real-time streaming using Server-Sent Events (SSE). They would also play a key role in the infrastructure using Docker Compose, securely managing the Python sandbox, and optimizing queries and data processing to ensure scalability and performance.
I turn data into knowledge and knowledge into strategic decisions. ✨ With expertise in Python, Scala, and Java, and a strong background in data analysis, predictive modeling, and machine learning, my mission is to extract valuable insights to drive business growth.
🔹 Data Wrangling & ETL: Efficient data cleaning, transformation, and structuring.
🔹 Machine Learning & AI: Model development, evaluation, and optimization.
🔹 Big Data & Cloud: Scalable data processing in distributed environments.
Always looking for new challenges and opportunities to innovate with data. 🚀 Let’s connect!
📩 Emails: [email protected]
Data, ML, AI, Deep Learning.