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Babatunde O. - Fullstack Developer, GPT API, Data Analysis

At Softaims, I’ve found a workplace that thrives on collaboration and purposeful creation. The work we do here is about more than technology—it’s about transforming ideas into results that matter. Every project brings a mix of challenges and opportunities, and I approach them with a mindset of continuous learning and improvement. My philosophy centers around three principles: clarity, sustainability, and impact. Clarity means designing systems that are understandable, adaptable, and easy to maintain. Sustainability is about building with the future in mind, ensuring that the work we do today can evolve gracefully over time. And impact means creating something that genuinely improves how people work, connect, or experience the world. One of the most rewarding aspects of working at Softaims is the diversity of thought that every team member brings. We share insights, question assumptions, and push each other to think differently. It’s this culture of curiosity and openness that drives the quality of what we produce. Every solution we deliver is a reflection of that shared dedication. I’m proud to contribute to projects that not only meet client expectations but also exceed them through thoughtful execution and attention to detail. As I continue to grow in this journey, I remain focused on delivering meaningful outcomes that align technology with purpose.

Main technologies

  • Fullstack Developer

    2 years

  • Data Science

    1 Year

  • Machine Learning

    1 Year

  • Deep Learning

    1 Year

Additional skills

  • Data Science
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Computer Vision Software
  • Data Science Consultation
  • Hugging Face
  • Software Development
  • Text Analytics
  • API Development
  • Predictive Analytics
  • Computer Vision
  • Deep Neural Network
  • FastAPI
  • GPT API
  • Data Analysis

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Experience Highlights

Face recognition computer vision application

The client aims to develop a robust face recognition system capable of distinguishing between real images and deepfake images. They want to enhance security, prevent misinformation, and protect against the spread of manipulated content. As the lead developer, I played a pivotal role in building this cutting-edge face recognition application. Here are the key aspects of my contribution: I trained a pretrained Convolutional Neural Network (CNN) on a diverse dataset containing thousands of real and deepfake images. This involved fine-tuning the model’s weights and optimizing hyperparameters to achieve exceptional accuracy. I preprocessed the dataset, ensuring consistent image sizes, removing noise, and augmenting the training samples to improve generalization. Rigorous testing and validation were conducted to assess the model’s performance. Achieving a remarkable 99.6% accuracy demonstrates the effectiveness of our solution. I deployed the trained model as a user-friendly application, allowing clients to upload images for real-time analysis. Our face recognition system has exceeded expectations: High Accuracy: With a 99.6% accuracy rate, our model reliably distinguishes between real and deepfake images. The application contributes to combating misinformation, safeguarding privacy, and enhancing security across various domains. Positive Client Feedback: Our client is delighted with the results, emphasizing the system’s robustness and ease of use.

Chat with your data

I built a Chatbot that was trained on the company's data with high level data security in mind. The chatbot performance exceeded expectations.

RAG based ChatBot with LangChain and OpenAI

I created that advanced retrieval augmented generation (RAG) based chatbot for the real estate business using the client's data. This state of the art technique gave his customers personalized experiences when interacting with the chatbot. The goal was to enhance customer's support. And I am happy to have delivered such a valuable chatbot assistant.

Education

  • Obafemi Awolowo University

    Bachelor of Science (BS) in Computer engineering

    2017-01-01-2021-01-01

Languages

  • English

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