Lucas Cardoso
Education
- Co-President of LAHMBA (Latin American & Hispanic MBA Association)
Experience
- Designed and shipped a high-performance real estate platform (Astro, Cloudflare Workers) serving 2,000+ listings with AI-generated descriptions, programmatic SEO pages, and sub-second load times for 100K+ annual visitors
- Integrated an AI property insights feature (“Stella”) via edge functions to the website, generating instant, contextual listing opinions with neighborhood comparisons while enforcing factual accuracy through prompt/model guardrails
- Designed and shipped an ultra-low bandwidth landing page platform using Astro & Cloudflare, enabling non-technical sales teams to launch edge-deployed pages while saving ~70% in load times and time to market from 4 days to 6 hours.
- Led discovery, build, and launch of an internal product-compatibility tool used by sales teams to answer customer fit questions faster; shipped a serverless solution and enabled non-technical teams to maintain the underlying data.
- Prototyped a GenAI sales aide using a RAG approach, interviewing 60+ reps and running hundreds of test queries per variant to reduce hallucinations while balancing answer quality and response latency.
- Owned discovery and roadmap for a troubleshooting/training platform, using stakeholder interviews and usage analysis to surface usability gaps and define a phased plan for a unified “one-stop” experience.
- Defined the training platform’s feature set and integrated AI capabilities — auto-generated summaries, text-to-speech, and quiz generation — to support field teams across 4+ languages.
- Translated competitive analysis into a positioning and launch plan, testing multiple high-fidelity concepts (ads + landing pages) to reposition a flagship product line against market leaders.
- Shipped an automated partner quality index for listing syndication, featuring a 22-rule framework for data standardization and programmatic formatting of 2,000 listings replacing manual QA with zero-defect, auto feed generation.
- Defined the technical strategy and partnered with engineering to build an end-to-end video production pipeline leveraging on-demand RunPod CPU instances and FFmpeg rendering, automating branded content creation from listing data to delivery and scaling output to hundreds of video assets, reducing production costs by over 75%.
- Owned the internal real estate knowledge base and digital listing platform for 2,000+ properties, ensuring accurate, up-to-date product content and enabling 80+ agents to quickly match customers with the right products.
- Developed automated lead reception and qualification system using Twilio, WhatsApp, and SendGrid, improving response times by 87% and NPS scores by 40%.
- Owned end-to-end go-to-market for 30+ new real estate developments, creating messaging frameworks, value propositions, and sales training content to position each project and refine targeting using customer insights.
- Directed end-to-end redesign of the customer website, conducting user interviews and journey analysis to fix form drop-offs, leveraging CDNs, cutting page load times by 50%+ and using Clarity and Hotjar experiments to improve conversion.
- Revamped internal ERP systems in partnership with engineering, translating business needs into requirements that increased cross-departmental efficiency by 20%, improved data visibility, and ensured GDPR-compliant data management.
- Engineered and deployed an AI-driven content automation system, optimizing 2,000+ property listings and improving lead targeting accuracy by 60% and page views by 25% through iterative tuning of automation rules and performance analysis.
- Led business intelligence and market research efforts to identify untapped market segments in under-served areas, driving a 35% increase in lead generation and enabling the company to expand into new geographic regions.
Additional
- Skills: Product discovery, platform roadmapping, experimentation, analytics (SQL), SEO, GenAI prototyping
- Technical: Serverless and edge architectures, API-driven platforms, data pipelines, GenAI/RAG systems
- Languages: Portuguese (Native); English (Fluent); Spanish (Intermediate)

