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Dawid N. - Fullstack Developer, QA Automation, ci-cd

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

    6 years

  • AI Agent Development

    5 Years

  • Artificial Intelligence

    1 Year

  • AI Development

    4 Years

Additional skills

  • AI Agent Development
  • Artificial Intelligence
  • AI Development
  • ChatGPT
  • API Integration
  • API
  • Web Development
  • Next.js
  • OpenAI API
  • AI Image Generation
  • Prototyping
  • Python
  • Fullstack
  • vue.js
  • QA Automation
  • ci-cd

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Experience Highlights

AI research agent for sales people.

Project is a custom AI research workflow. You type users full name, company name and the website URL and you get the information about a prospect + the company website. The project uses a custom AI workflow, where AI first gathers information and images in the Internet and then using that information returns a brief description of the business. I was able to build it in a 2 days. The app served as a lead magnet with the goal of attracting leads to the AI agency business.

AI SaaS Platform - AI agentic procurement strategy engine.

Supplied is an agentic AI platform for generating procurement reports. The goal of the app was to help procurrment teams My work was around building the entire app including AI intrastructure that consists of: AI search and AI reasoning models. I've also build a custom admin page, where a founder could edit prompts and AI models used. Technologies used: • AI: Perplexity API, OpenAI API, Deepseek API, Helicone • Web: NextJS/React/Shadcn • Database: Redis and PostgreSQL • Hosting: Vercel. • Authentication: Clerk • Payments: Stripe

Fullstack MVP AI App with multiple features include chatbot

Tutorchase AI is an app that helps students learn faster with AI I've handled all of the aspects of development including frontend, backend, database, AI integration, and cloud deployment. The app consists of 6 main features: • Authorization: login, register, and forgot password. I've built it with the help of Clerk, which is an authorization service. • Payments: 7-day free trial, monthly and yearly subscription. Payments are handled by Stripe. • Rewrite tool: used to change the text written by the student, it uses AI, more specifically GPT-3 a large language model behind ChatGPT.

Full stack AI app powered by AI - Built in 4 days

TweetGenerator - proof of concept full-stack web app built with help of GPT3 model by OpenAI. MVP was built in a total of 30 hours. I've built it using a T3 stack - Next.js, React, Tailwind, TypeScript, Prisma, and PostgreSQL. It has payment integration, authorization, and OpenAI API.

Embeddable AI Chatbot - Built in 7 days.

Project included the AI chatbot that anyone can embed on their website. The goal of the chatbot was to catch the attention of the website lurker by first showing a lead magnet. If a user engaged then the chatbot would further continue the conversation with the user. The functionality also included grabbing a person's email address with a goal to keep that person in the middle of the funnel.

Education

  • ZSEE

    in Electronic engineering

    2016-01-01-2020-01-01

  • Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

    Bachelor of Computer Science (BCompSc) in Computer science

Languages

  • German
  • English
  • Polish

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