I'm Alessandro, a data engineer based in los angeles.

I bootstrapped, developed, marketed, designed, and launched the first CTO-as-a-service for startups and small companies, achieving profitability on day one without spending a cent on paid advertisements. Since then, the service has consistently grown, with an impressive compounded additional ~20% MRR every quarter of operation.

Building and maintaining new startup software from visual design and frontend to idempotency, data modeling, and backend micro services. Directly contributed design, marketing, logistics, and raw code to 30+ new software companies across Y-Combinator, Flutterflow, Adalo, and Webflow.

Offered guidance in engineering solutions, focusing on product development and optimization. Helped design, implement, and troubleshoot engineering projects to ensure they run smoothly and efficiently. Provided strategic advice to enhance product performance and streamline operations throughout various stages of the product lifecycle.

Bootstrapped, developed, marketed, designed, and launched the most popular scholarship aggregation platform from 2020-2022, impacting 1/4th of all North American high school students accessing student resources. Spent $0 on paid advertisements to date. From 2020 to 2022, Scholarcash garnered a total of 3.5 billion organic, unpaid impressions across TikTok and Instagram by providing content and a brand voice geared towards Gen-Z.

I spearheaded the coordination of political rallies throughout Los Angeles County, employing data tracing techniques to understand and influence Angelenos' voting behavior in favor of Joe Biden on November 7th. Additionally, I leveraged data trends to make informed executive decisions.

Supported Congressman Gil Cisneros’ initiatives and constituency needs in Orange County. Engaged with the community to gather insights and address concerns, facilitated communication between the congressman and local residents, and assisted in organizing events and outreach programs to promote legislative priorities.

Spearheaded scaling efforts for GSAP’s data infrastructure in preparation for acquisition by Webflow, ensuring the platform’s stability during the integration process and optimizing for continued growth post-sale.

Engineered a creative data-driven solution for SDG campaign initiatives, optimizing the platform to connect 20 million+ users, while ensuring stable performance for large-scale outreach and engagement efforts.

Led a team to revamp Unilever’s social media analytics platform, scaling their Instagram presence to 50K+ followers, implementing a data-driven approach to outperform competitors in digital engagement.

Developed a scalable promotional campaign infrastructure for Society6, enabling real-time data processing of 100K+ impressions across the U.S. and Canada, ensuring stability during high-traffic periods.

Engineered a data infrastructure to support Recoop’s ADHD supplement launch, processing 200K+ impressions and scaling platform resources to handle a 35% traffic increase without degradation.

Built and optimized outreach data models, enabling 1 million+ interactions across influencer campaigns, maintaining system integrity and supporting real-time analytics during peak periods.

Designed a robust influencer data management system for Pearson+, handling 500K+ new user metrics and ensuring smooth onboarding for enterprise software, improving overall system scalability by 25%.

Engineered the data architecture for LA28’s dynamic logo and branding campaign, ensuring the system could handle millions of interactions and deliver personalized experiences for Gen-Z audiences with long-term scalability.

Created and scaled real-time data processing systems for influencer campaigns, handling 300K+ interactions, ensuring platform stability and preparing infrastructure for future high-demand campaigns.

Leveraged advisory insights to refine Gen-Z focused data models, improving targeting efficiency by 20% and enhancing system performance for teen-centric campaigns and initiatives.

Developed a scalable cloud infrastructure to support remote tutoring services during the pandemic, handling a 35% increase in user sessions with uninterrupted service and real-time analytics on engagement.

Architected a scalable system for promotional campaigns, increasing user engagement by 40% and processing 200K+ interactions without latency or downtime across TikTok and Instagram Reels.

Implemented data models and optimized analytics pipelines for the “Safer at Home” initiative, supporting 500 million+ impressions while maintaining consistent performance under peak loads.

Built and optimized backend workflows for a mobile app, increasing data processing efficiency by 30% and ensuring the platform could scale smoothly to accommodate 50K+ active users.

Designed and deployed a data infrastructure for TikTok campaigns, processing 500K+ impressions while maintaining zero data loss and ensuring platform stability during traffic surges.

Engineered a scalable data architecture that handled $9.56 billion in exchange volume, a 57.9% increase over previous peaks, optimizing transaction processing and system performance under high-load conditions.

Developed and optimized a scalable data pipeline that processed advocacy metrics across 50 states, ensuring real-time analytics for ACLU’s nationwide campaigns, improving outreach impact by 45%.