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Brayan Andres B. - Fullstack Developer, React Native, nextjs

Being part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.

Main technologies

  • Fullstack Developer

    1 year

  • Python

    1 Year

  • Data Science

    1 Year

  • Deep Learning

    1 Year

Additional skills

  • Python
  • Data Science
  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • React
  • LangChain
  • Artificial Intelligence
  • Amazon Web Services
  • ChatGPT
  • Next.js
  • Azure
  • Neo4j
  • Gemini
  • JavaScript
  • React Native
  • nextjs

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Experience Highlights

AI agent(STT, TTS)

I developed AI agent with my fine tuned model, langchain, RAG, Iac, CI/CDand MLOPs best practice(CometML, Qwak)

Developing MultiModal LLM(STT, TTS)

With deep understanding of Transformer architecture and speech recognition, I developed fast, and extensible multimodal LLM that can understand text as well as human speech, without the need for a separate Audio Speech Recognition (ASR) stage. On this project, after research like AudioLM, SeamlessM4T, Gazelle, SpeechGPTs, I have extended Meta's Llama 3 model with a multimodal projector that converts audio directly into the high-dimensional space used by Llama 3. This direct coupling allows this to respond much more quickly than systems that combine separate ASR and LLM components.

Shopping sites

modern high chairs, cribs, bouncers, gear & furniture for design-forward parents and families.

AI chatbot (chat/voice)for doctor assistant

A smart and user-friendly solution designed to streamline person's healthcare experience. Whether client prefer typing or talking, my chatbot is here to assist customer. Get instant answers to medical queries, schedule appointments, and receive personalized health recommendations—all through natural and conversational interactions.

AI platform integrating several services

AI shoping platform that integrated whatsapp and slack. This platform brings the store directly to customer chat. Personalized recommendations, instant updates, and secure transactions—all in one place is highly valued by customers. Implemented in natural conversations with Langchain, AI chatbot, making your shopping experience interactive and enjoyable.

Education

  • Universidad Tecnológica de Pereira

    Bachelor of Computer Science (BCompSc) in Computer Systems Engineering

    2018-01-01-2022-01-01

Languages

  • English
  • Spanish