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Michael P. - Fullstack Developer, AI Text-to-Image, AWS Development

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

    4 years

  • Python

    1 Year

  • Django

    3 Years

  • SQL

    3 Years

Additional skills

  • Python
  • Django
  • SQL
  • Flask
  • PostgreSQL
  • Redis
  • MongoDB
  • Docker
  • NumPy
  • pandas
  • TensorFlow
  • AI Model Integration
  • SQLAlchemy
  • AI Text-to-Image
  • AWS Development

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Potentially possible

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Experience Highlights

Voice chat-bot tickets recommendation system

The project is aimed to create a voice chatbot agent for picking up tickets according to user preferences. The chatbot accepts requests in the form of a voice message and returns a response using a voice module that imitates a human voice.

Voice Recognition

The project aims to enhance the performance of call center managers and automate call center operations by implementing an AI-powered voice recognition system. The system is designed to analyze and interpret calls, providing managers with actionable insights into their teams' performance. Utilizing state-of-the-art voice recognition and natural language processing (NLP) technologies, the system can accurately transcribe and understand the context of each call. My involvement in the project lasted for 1 year, during which I worked as a Back End Developer. My responsibilities included backend development, training/developing ML models, integrating the API with CPU and GPU platforms for efficient audio processing, implementing and maintaining a scalable and robust infrastructure using AWS, ensuring high levels of security and data protection for the API and client data, developing and maintaining API documentation, testing and debugging the API and machine learning models, code review, implementing new features.

TechVision AI

TechVisionAI is a REST API that has been developed to unleash the power of StableDiffusion models (including SDXL). Its notable features encompass the ability to generate images based on textual prompts (txt2img), create stunning variations of images (img2img, depth2img), and perform precise image editing (inpainting). Additionally, the platform empowers users to fine-tune their models on customized datasets using the Low-Rank Adaptation (LoRA) technique prior to utilizing them for image generation tasks. TechVisionAI provides support for both local models and datasets and offers integration with Hugging Face's repository. Furthermore, users have the flexibility to execute image generation tasks on a range of platforms, including CPU and GPU, with support for NVIDIA CUDA technology. My involvement in the project lasted for 6 months, during which I worked as a Back End Developer. My responsibilities included system architecture design and implementation, back-end development (SD models features and FastAPI server), ensuring quality control and unit testing, creating documentation, deploying and configuring CI/CD pipelines, and providing ongoing product support and maintenance.

Education

  • Odessa National Polytechnic Univerisity

    Master's degree in Computer science

    2023-01-01-2025-01-01

  • Odesa National Polytechnic University

    in Computer science

    2019-01-01-2023-01-01

Languages

  • German
  • English
  • Russian
  • Ukrainian