Cluj-Napoca, Cluj, Romania
Most automation breaks within 90 days of being built. The consultant moves on. The freelancer stops answering. Your team patches it manually and hopes nobody notices. I started viabolat to fix that. We diagnose what's broken, fix it properly, and stick around to make sure it stays working. No disappearing acts. No hourly surprises. Just automation that actually holds up. If something's broken — or should have been automated already: → viabolat.com
Broken automation costs more than it looks. Not in software fees. In the hours your team spends working around it. The manual exports. The re-checks. The "just do it by hand for now" that became permanent. You paid an AI bro or a Zapier bro to build it. It worked for a while. Now it doesn't. And nobody's answering. viabolat is who you call after that happens. We find the root cause, fix it properly, and stick around to maintain it — so you're not back here in 90 days. Fixed price. 48–72hr turnaround. No disappearing acts. viabolat.com
Managing sales and key accounts for a 20+ year full-service corporate AV and event production company. Specialties: large-scale conferences, brand launches, hybrid/virtual events, in-house AV partnerships. Also handle social media content — sourcing visuals and writing copy for LinkedIn and other platforms.
Worked within Accenture’s Cloud & Big Data practice on production-grade data and platform systems for enterprise clients. My focus was on system reliability, data integrity, and automation of fragile manual processes across cloud-based environments. Production Data & Platform Engineering: Contributed to the design and maintenance of cloud-based data pipelines and platform components, with emphasis on correctness, consistency, and failure handling in real-world conditions. Automation of Repetitive Operations: Identified high-friction manual workflows in data validation, monitoring, and remediation, and replaced them with automated checks and repeatable execution patterns. Data Integrity & Validation: Implemented and maintained validation logic to detect nulls, duplicates, schema drift, temporal gaps, and inconsistent aggregates across datasets used for reporting and downstream systems. Cloud-Native Execution: Worked within AWS-based environments to support scalable data processing and operational workflows, balancing performance, cost, and reliability constraints. Cross-Team System Design: Collaborated with distributed engineering and analytics teams to translate ambiguous business requirements into concrete, testable system behavior. Operational Readiness: Supported systems in post-deployment phases, diagnosing failures, data inconsistencies, and edge cases that only appear at scale. This role reinforced a core discipline that informs my current work: most data failures are not “bugs,” but missing automation, validation, or ownership boundaries.
Owned production operations and internal IT systems for a commercial graphics and production company. The role combined process design, automation, and system reliability, with direct responsibility for keeping production workflows accurate, repeatable, and operationally scalable. Production System Ownership: Designed and maintained end-to-end production workflows spanning order intake, scheduling, data preparation, and delivery, ensuring consistency between sales inputs and production outputs. Automation of Manual Workflows: Replaced error-prone, manual processes (job tracking, file validation, handoffs, reporting) with Python-based automation and structured data workflows. Data Validation & Quality Control: Implemented validation checks to prevent incorrect files, missing metadata, or malformed job data from entering production, reducing rework and operational delays. Operational IT & Tooling: Managed internal systems supporting production and business operations, balancing reliability, usability, and cost without over-engineering. Process Standardization: Converted tribal knowledge into documented, repeatable processes so production outcomes did not depend on individual operators. Cross-Functional Execution: Acted as the bridge between sales, production, and technical tooling to ensure commitments made to customers were technically feasible and operationally sound. Scalability Under Constraint: Supported growth without proportional headcount increases by focusing on automation, workflow clarity, and failure prevention rather than manual oversight. This role formed the foundation of my approach to automation today: most operational failures come from unclear ownership, missing validation, and manual glue work between systems.
Achieved recognition as the company's "Sales Star" by consistently surpassing sales targets by an average of 25% each quarter, demonstrating exceptional sales acumen and routinely exceeding customer and stakeholder expectations. Enhanced customer satisfaction by 30% through efficiently resolving concerns with a high level of professionalism, significantly improving customer experience and retention rates. Provided targeted coaching and mentorship to team members, resulting in a 20% increase in team productivity and a 35% boost in overall sales performance within six months. Collaborated closely with the store manager to develop and execute strategic initiatives, driving a 40% growth in store sales and contributing to a 25% increase in overall profitability.