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Full-Stack AI Lead with 15+ years of experience in AI/ML/Data Engineering. Specialist in productionizing Document AI, Agentic LLM Workflows, and Scalable Big Data systems. Master’s in Applied Mathematics. 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 & 𝐋𝐋𝐌 - Architecting production-grade agents and multi-intent workflows using LangGraph and LangChain. - Implementing NeMo Guardrails, DeepEval, and Langfuse to ensure security and near-zero hallucination rates. - Developing high-performance FastAPI backends for real-time operational data integration. 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐎𝐂𝐑 - Specialist in extracting structure from "dirty" or non-digital sources using Visual NLP and OCR. - Lead Developer of Spark OCR. - Author and main contributor of open-source projects: Spark PDF and ScaleDP. - Expertise in document layout analysis, data extraction, and semantic search. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐌𝐋𝐎𝐩𝐬 & 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 - Architecting scalable infrastructures using Vector DBs (Milvus, Pinecone, Qdrant). - Optimizing Apache Spark (PySpark, Streaming) and Databricks pipelines; reduced processing time from days to hours. - Implementing robust CI/CD via Databricks Asset Bundles, Jenkins, and GitHub Actions. 𝐏𝐫𝐢𝐯𝐚𝐜𝐲 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 - Automated de-identification and redaction for GDPR/HIPAA. - Specialist in masking sensitive information in DICOM, PDF, and image formats. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 AI & LLM: LangGraph, LangChain, RAG, Llama 3, Gemini, GPT-4, Vertex AI, Hugging Face, GliNER. Backend: Python, Scala, FastAPI, Node.js, PostgreSQL, MongoDB. Vector DBs: Pinecone, Milvus, Qdrant. Infrastructure: AWS, GCP, Azure, Docker, Kubernetes, Jenkins, AirFlow. Big Data: Apache Spark (PySpark, Streaming, MLlib), Kafka, Kinesis.

As a Principal AI Strategist and a key leader at TheFutureLab agency, I help businesses move beyond AI hype to build intelligent systems that deliver measurable value. With over a decade of engineering leadership experience—from managing teams at top-tier companies and serving as a multi-time CTO—I bridge the gap between ambitious AI concepts and production-ready, strategic solutions. I specialize in turning complex ideas, like AI Agents, into tangible business assets. My core services include: - AI Strategy & Roadmap Development: Defining a clear, actionable path to high-impact AI implementation. - AI Agent & Generative AI Solutions: Architecting and overseeing complex, automated systems that drive efficiency and growth. - Fractional CTO & Technical Leadership: Providing the senior guidance needed to manage your engineering team and de-risk your projects. - AI-First Org Design: Structuring your teams for effective human-AI collaboration. Ready to build your AI-powered future? Let's connect to discuss how I can bring strategic clarity and expert execution to your vision.

I am a developer experience (DX, DevEx) engineer, with background of around 20 years in web development, mostly backend in Python, fluent in agentic coding and other AI-based workflows. If your key developer is forced to waste 10% of his time and effort on keeping his tools and environment working, hiring another developer to take care of that may be the cheapest way to increase velocity. Much more so if you have 5 developers wasting 20% of the time. I can't make anyone row faster, but developers tend to react positively to getting paddles. A part of my tools, like CI/CD, are often rightfully attributed to DevOps. However DevOps, especially as a role and not as a methodology, is a way to do Ops, that is to make servers perform well, while I'm focused on letting developers perform well. For a long time my primary motivating factor has been improving users' experience, both in the moment and through the journey. When around 2019 my team has started to grow, I naturally started spending more time making their experience better, becoming what I then called engineering support, multiplying my impact by acting as an internal consultant, and then based on gained insights making tools that reduce friction in the development process, often through unlocking new abilities. And now naturally I'm exploring agentic AI to see how I can both do DevEx for developers who use it heavily, and "AIExp" to similarly make AI not waste time. --- My primary experience since 2019 is the "developer support"/DevEx/internal consultant on most of the team's stack and tools. Since 2012 it's web development in Python (till 2018 mainly with Django, since 2021 with Flask), since 2010 - full-stack web programming, and since 2007 - professional experience in the fullest web stack: from server configuration to CSS.. My main skill is designing and debugging complex concurrent systems with asynchronous parts, which is as applicable to my work on production code as to tending to developers' experience. Personal workplace record from the time of GPT-5.4 is managing three agents working in separate worktrees while writing documentation, and delivering all of that with minimum overhead. Of course working on multiple things in parallel means that none of them are complex for me, but that's what work usually is. My recent role, which I was playing for 7.5 years, encompassed by gradual migration from pure web-development to mostly developer experience, where I built, largely from scratch, local development and automated testing capabilities, orchestrating a number of my own and 3rd-party emulators to reproduce the part of Google Cloud we were using. Based on that I have later created properly orchestrated sets of testing containers for Python (unittest) and JavaScript (Cypress) to enable any meaningful tests in a complex combination of projects on a mix of deprecated and cutting edge infrastructure, next I wrote custom libraries, plugins, and wrappers to make testing tricky parts feasible, and finally made some versatile helpers to keep very involved end-to-end tests under control. When that was done to everyone's satisfaction, and rarely needed any new features, I could get serious with the CI (mostly CircleCI) setup, and got it from a cloud test runner to a harmonized code quality and security gate of a couple dozen complex checks that saved developers time and company money, and leveraged it to largely automate dependency updates. Recently I also had to do some security, which is quite opposite to developer's everyday good experience, but at least arrival of Shai-Hulud 2.0 did not disturb our peace.

I have 5 years of experience with Python. As a Python enthusiast, I find it satisfying and rewarding to develop web applications, scripts, and automation tasks. I put a lot of effort to keep my code as clean and as readable as possible without affecting the performance. Solving computation challenges and converting ideas from just a thought to a digital product is My Passion. Through the school, I acquired skills in Linux Administration (passed SUSE CLA international certification), Windows server management (AD, IIS, DNS, Routing), Cisco CCNA (Routing and Switching), and programming basics in PHP / C++ / Java. I treat my own self-development very seriously and try to learn something new every day in my spare time. Skill | Level - Python (language / syntax): Very good * Django: Very Good * DjangoRestFramework: Good * Flask: Good * Tkinter: Intermediate * Kivy: Good - JavaScript: Good - HTML / CSS: Good - Java: Intermediate - PHP: Basic - C++: Basic Apart from programming, I am a pianist and I practice street workout ( calisthenics ) to keep my mind and my body clear & healthy.

Senior QA Engineer with a backend development background, experienced in Python, Django, Flask, and databases. Skilled in writing automated and performance tests for entire applications. I am a senior Python developer and the author of professional Python courses available on Udemy. I have a passion for teaching and enjoy sharing my knowledge in mathematics, programming, and the Polish language. • Skills & Expertise: • Writing Python scripts • Python code refactoring • QA Specialist (manual & automated testing) • Robot Framework, pytest, unittest • Django backend development • Mathematics tutoring • Polish language tutoring • English tutoring for non-native speakers

I test and automate software so it ships without surprises. 14+ years hands-on: manual testing, test automation with Playwright, API testing (Postman), and regression/functional testing across web and mobile. What I do: Manual & exploratory testing — functional, regression, cross-browser Test automation — building and maintaining Playwright test suites (E2E, API, cross-browser) API testing (Postman, REST) Test case design, bug reporting, JIRA/TestRail workflows CI/CD integration for automated test runs I've worked as a QA engineer, automation engineer, and QA lead on projects for fintech, e-commerce, and SaaS clients across Europe, Australia, Canada, and the US — including running QA end-to-end as a company founder, so I know how to work fast without cutting corners on quality. Available now, ready to start this week. Clear communication, fast turnaround, no hand-holding needed.