Mac Soczka

Building full-stack solutions designed for SMEs to create effective and growth driven MVPs Prototyping and testing products to improve campaign performance and boost CRO Creating impactful paid ad campaigns across platforms to maximize reach and engagement Optimizing campaign performance with actionable insights and continuous improvements Developing value propositions with LEAN methods to attract and retain your target audience Using Generative AI to deliver personalized, scalable content that resonates with SME customers Finding the right market fit using data analysis and customer feedback Applying AI tools, including fine-tuned models, to streamline and enhance marketing strategies Aligning marketing strategies with business goals to achieve measurable growth Focusing on robust technical solutions to support scalable, results-oriented applications

Conducted in-depth market research to uncover trends, competitors, and SaaS adoption insights while developing detailed buyer personas and ROI-focused strategies. Defined clear product goals, prioritized impactful features, and created a phased roadmap to align with stakeholders and business objectives. Designed an intuitive UX/UI tailored to B2B workflows, supported by wireframes and prototypes refined through stakeholder feedback. Developed a POC to validate core functionalities, followed by iterative Agile development to build a lean and functional MVP. Launched beta testing programs to gather actionable insights, monitored key metrics like churn and acquisition costs, and iterated based on user feedback. Focused on blending strategy, creativity, and technology to deliver a scalable solution that solved real problems and met the needs of B2B customers.

Led the engineering team and owned technical direction and delivery. Designed and built NLP-based chatbot systems using Node.js, Python, React, Amazon Lex, Dialogflow, NLTK, SciKit-Learn, TensorFlow, and ElasticSearch. Made architectural decisions and supported day-to-day development. Hired and mentored engineers. Improved workflows and DevOps practices (Docker, Kubernetes). Worked closely with product and business stakeholders to deliver reliable production systems.