Lauris DJILO

KEY RESPONSIBILITIES – Led client-facing engagements to deploy AI-driven search and recommendation solutions across 11 subsidiaries for a top-tier construction retail group, directly improving online conversion and ROI. – Designed and delivered an automated influencer campaign performance tracker using video labeling for a beauty industry leader. – Drove pipeline optimization for product and activity tracking, boosting customer experience via conversational search. – Acted as a technical advisor in presales, conducted code reviews, and mentored junior engineers. IMPACT –Reduced deployment lead time from 5 weeks to 1 day ♻️ –Delivered €300k+ uplift in monthly revenue via enhanced product discovery tools 🚀 –Improved conversion rates through ML-driven personalization ✅

KEY RESPONSIBILITIES –Engaged directly with clients to design, troubleshoot, and optimize their big data platforms on AWS. –Delivered architecture recommendations that balanced performance, scalability, and cost. –Trained customers and internal stakeholders on AWS tools and best practices. –Authored internal content and conducted enablement sessions for customer engineering teams. IMPACT –Designed centralized log analytics architectures used across organizational accounts 🔍 –Spearheaded performance tuning initiatives, reducing compute time and cloud costs for multiple clients 📌

KEY RESPONSIBILITIES –Built and presented predictive models for procurement negotiations, combining regression techniques with ML ensemble methods. –Aggregated and integrated data from APIs, web scrapers, and internal DBs to improve cost forecasting and negotiation positioning. IMPACT –Generated estimated savings of €90k on selected components via optimized negotiations ✅ –Provided a reusable foundation for future data-driven procurement decisions🏗️

KEY RESPONSIBILITIES –Delivered a migration of BI pipelines from Oracle to a secure Hadoop-based data lake, improving scalability and access. –Developed an external-facing SQL query API to expand data accessibility for non-cluster users. –Led training and onboarding for new technical hires, promoting long-term operational stability. –Maintenance of the ETL platform consisting of up to 25 nodes, 5TB of RAM, and 500TB of storage. –Test and validation of data transformation jobs. IMPACT –Reduced KPI computation time by over 50% for 600+ business indicators. –Enhanced data democratization across business teams with self-serve tools.

KEY RESPONSIBILITIES –Integrated GPS-based fleet tracking with ERP systems (Odoo), enabling real-time asset visibility and theft mitigation. –Developed mobile and web-based interfaces for operations and reporting. IMPACT –Enhanced real-time decision-making for logistics teams through integrated dashboards.