work with tech
Created: 2026-11-03 mar 12:19
Here I collect all the experiences I accumulated over 17y or career with a focus on business use cases.
Hands-on experience in data products and infrastructure, fostering cross-functional collaboration across technical, product, and commercial teams. Focused on data-driven decision-making built upon a robust background in statistical analysis, predictive modeling, algorithm design, machine learning, and data/text mining. Successful leadership of complex technical projects in both B2B and B2C environments, proficiently managed remote teams, and actively contributing to talent acquisition and mentorship. Specialist in optimization problems, productization of ML, prototyping (PoC, MVP), tech presales, personas segmentation, multichannel strategies and driving conversion uplift. 15+ years of coding experience in data proc/viz, cloud/grid computing, web, data platforms, ETL, front/back end. I developed a strong understanding of customer needs and learnt how to build durable customer stakeholding. Driven by innovation, novel business models and collaborative working environments. Passionate about story telling and crafting, good knowledge of international languages and long coaching experience.
I covered a diverse range of roles and skills across different industries and technologies. Here’s a summary of the key roles:
This diverse range of roles demonstrates your comprehensive expertise in various technical fields and areas related to data-driven solutions, project management, technology implementation, AI development, and business strategy.
Here is a list of verticals where I participated to different projects: These industries cover various technological areas such as AI, ML, data science, engineering, software development, operations management, and more.
IoT Predictive Maintenance (id: 5)
Highly Qualified Tech Sales Agent (id: 7)
Insurance Assistant Bot (id: 6)
Analytics Platform for Sales Emails (id: 10)
I find this role really interesting because I’ve spent my entire career focused on helping companies become more efficient at adapting and coordinating different technologies—combining ERP systems with microservices, using ML to respond quickly to sudden changes, and building data warehouses and pipelines to manage large volumes of data from multiple sources.
Healthcare is a highly regulated industry, so improvements roll out at a much slower pace than in sectors I’ve worked with before like e-commerce, advertising, telecommunications, and manufacturing. Healthcare probably needs efficiency gains more right now than ever. The initial investment required and strict regulatory timelines deter many teams from stepping in. Yet we’ve all seen the inefficiencies we can no longer tolerate: costs keep rising, service quality is slipping, and data isn’t being used intelligently to optimize operations or cut expenses. When I saw this job post, I was really interested in the chance to speak with a team that has the capacity to enter this market and bring meaningful improvements to the industry. I have a strong track record working with sensitive data, creating actionable insights while carefully handling multiple layers of anonymization and compliance requirements—without sacrificing the ability to run predictive models on that data. I’ve spent a lot of time integrating tools with ERP/CRM systems and custom microservices to improve data quality and unlock deeper, more reliable insights. I’ve also been actively working on ML pipelines to monitor model performance and detect data drift, ensuring accuracy stays consistent over time. I implement QA and observability layers so we can quickly investigate the root cause of any anomalous behavior. Additionally, I’ve led several data governance projects where we established clear responsibilities and ownership structures around the product. This ensured every team member could collaborate effectively to drive incremental improvements across the lifecycle—consistently lowering latency, improving data quality, and reducing error rates. I’m highly proficient with coding assistants and modern development practices. I know how to challenge and refine LLM-generated outputs, ensuring the final code is clean, maintainable, and readable—especially when working with local LLMs for security and control. I’m flexible in my working style: I can operate autonomously or manage a team, depending on what’s best allocated for the project and your goals.
I have been working in companies with a focus on customer contact points: