Carlos Jhack Crispin Flores

I spearheaded the technological transformation at e-Qapla by building specialized teams in software development, generative AI (GenAI), and web development. I implemented an AI governance framework and established development and cybersecurity guidelines aligned with international standards, reducing security incidents by 67%. I also scaled our technology infrastructure to the cloud (AWS/GCP), achieving 99.9% system availability and lowering operational costs by 32%. Additionally, I developed AI solutions that boosted user retention by 55% and improved advertising campaign effectiveness by 21%, while automating key marketing processes to increase operational efficiency by 35%. Finally, I led internal training programs in AI and data analysis that enhanced team technical skills by 45% and cultivated an innovative, learning-driven culture, resulting in a 90% retention rate of key talent.

I led AI integration into digital marketing solutions, creating conversational agents and automation systems that optimized multi-channel sales processes, resulting in a 45% reduction in response time and a 37% increase in lead conversion. Implemented AI-driven advertising strategies on platforms like Google Ads and Meta Ads, achieving a 21% improvement in campaign ROI. Additionally, designed and delivered internal training programs that fostered a strong data-driven culture, enhancing team operational efficiency by 72%.

Lemons ML is at the forefront of sentiment analysis. By utilizing advanced artificial intelligence models (LLM) with a multimodal approach, we are not only deciphering emotions; we are crafting a narrative of the human experience. Our vision is to redefine how organizations harness the power of data, providing them with tools not just to understand sentiments, but to shape a future where intelligent insights drive extraordinary outcomes.

We are building technology that listens to the ocean and becomes its ally. We develop systems that combine artificial intelligence, underwater robotics, and IoT to monitor, understand, and protect marine ecosystems in real time. We believe in a future where data not only informs but transforms; where every decision about the ocean is driven by deep insights, and every coastal community is equipped to care for it with purpose and hope.

I led the Business & Data Analytics division at Euroshop, establishing governance and the tool stack. I built an External Data Warehouse that integrated 99.9% of over 20 external data sources and launched Power BI dashboards that reduced commercial reporting times by 62%. I implemented logistics dashboards for lead times, in‐transit stock, and new vehicle inventory, cutting costs by 12%. I developed ARIMA + LSTM models for demand forecasting and new vehicle stock optimization, improving forecast accuracy by 28% and balancing inventories. Additionally, I designed a claims traceability system (PyP) that shortened the repair cycle by 16%.

I was part of the team that implemented a new modular CRM for 10 leading brands (Volkswagen, Audi, Porsche, SEAT, CUPRA, Ducati, Lamborghini, Bentley, Volkswagen Trucks & Buses, and MAN) and designed a deep learning–based sentiment analysis model that processed 86,700 surveys. I also led Generative AI workshops and developed an AI assistant for VW that reduced query times by 24% and increased sales by 19.4%. Additionally, I spearheaded the "Cliente Único" project, achieving 79% integration across all brands, and established a proactive sales contact framework based on predictive maintenance models, boosting retention by 67%.

I designed and implemented a comprehensive market insights model for used vehicles, optimizing operational processes and enhancing KPIs by reducing inquiry times by 78% and increasing the commercial offers pipeline by 13%. I spearheaded “EuroData,” an internal hub driving the cultural shift towards a data-driven organization, and developed interactive dashboards and strategic visualizers for leading automotive brands such as Audi, Porsche, Lamborghini, and Volkswagen.

• Launched generative AI site for professional headshots within two months and acquired over 800 users • Developed a cost-effective (less than 0.50$ per fine-tuning) infrastructure with Terraform leveraging PyTorch in AWS GPUs for generative model training at scale in less than an hour • Designed user-friendly system with NextJS allowing users to generate +2500 custom images • Implemented user tracking software, capturing over 1000 events monthly, leading to a 20% purchase conversion rate increase

Nivel intermedio - avanzado