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I'm Benny Franco, a data architect and AI engineer with 8+ years building AI engines for enterprise platforms. I solve complex business challenges, from architectural foundations to delivering double-digit improvements in revenue and efficiency. I'm an end-to-end expert in Data Architecture, Production MLOps, and strategic Generative AI. I've built unified data fabrics with parallel, low-latency pipelines that power SQL-query agents and semantic search, enabling wealth managers and teams to generate reports faster and with greater accuracy. I've led AI initiatives across enterprise environments, delivering scalable platforms and measurable business impact.…I'm Benny Franco, a data architect and AI engineer with 8+ years building AI engines for enterprise platforms. I solve complex business challenges, from architectural foundations to delivering double-digit improvements in revenue and efficiency. I'm an end-to-end expert in Data Architecture, Production MLOps, and strategic Generative AI. I've built unified data fabrics with parallel, low-latency pipelines that power SQL-query agents and semantic search, enabling wealth managers and teams to generate reports faster and with greater accuracy. I've led AI initiatives across enterprise environments, delivering scalable platforms and measurable business impact.

Benny Franco

AI Engineer, Data Scientist, Full Stack Developer, +3

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I'm Benny Franco, a data architect and AI engineer with 8+ years building AI engines for enterprise platforms. I solve complex business challenges, from architectural foundations to delivering double-digit improvements in revenue and efficiency. I'm an end-to-end expert in Data Architecture, Production MLOps, and strategic Generative AI. I've built unified data fabrics with parallel, low-latency pipelines that power SQL-query agents and semantic search, enabling wealth managers and teams to generate reports faster and with greater accuracy. I've led AI initiatives across enterprise environments, delivering scalable platforms and measurable business impact.…I'm Benny Franco, a data architect and AI engineer with 8+ years building AI engines for enterprise platforms. I solve complex business challenges, from architectural foundations to delivering double-digit improvements in revenue and efficiency. I'm an end-to-end expert in Data Architecture, Production MLOps, and strategic Generative AI. I've built unified data fabrics with parallel, low-latency pipelines that power SQL-query agents and semantic search, enabling wealth managers and teams to generate reports faster and with greater accuracy. I've led AI initiatives across enterprise environments, delivering scalable platforms and measurable business impact.

Available to hire

I’m Benny Franco, a data architect and AI engineer with 8+ years building AI engines for enterprise platforms. I solve complex business challenges, from architectural foundations to delivering double-digit improvements in revenue and efficiency.

I’m an end-to-end expert in Data Architecture, Production MLOps, and strategic Generative AI. I’ve built unified data fabrics with parallel, low-latency pipelines that power SQL-query agents and semantic search, enabling wealth managers and teams to generate reports faster and with greater accuracy. I’ve led AI initiatives across enterprise environments, delivering scalable platforms and measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Architect at SambaNova

August 1, 2024 - Present

Designed a novel multi-agent 'Composition of Experts' RAG system for a Tier-1 investment bank, solving the challenge of combining live financial data and its entire library of research into a single intelligent brain. Created the unified data fabric with parallel, low-latency data pipelines powering a SQL-querying agent and a semantic search agent. Platform enabled wealth managers to generate client reports 80% faster and increased trade analysis accuracy by 35%. Established this solution as the flagship demo instrumental in securing the entire financial services vertical for the company.

Senior Data & AI Engineer at StyleSeat

July 1, 2022 - August 1, 2024

Engineered an AI-powered dynamic pricing engine from the ground up to solve the platform's core challenge of revenue optimization for stylists. Built end-to-end data pipelines with Kafka and Flink to process booking trends and local demand signals. Designed an LSTM forecasting model that predicted demand curves to recommend optimal pricing, adopted by over 50,000 stylists. Grew average revenue per stylist by 15% and reduced unfilled appointment slots platform-wide by 20%. Established this solution as a flagship that helped secure enterprise opportunities.

AI Engineer at Clustra

February 1, 2020 - December 1, 2021

Conceived and launched the company's core multi-stage agentic workflow engine using a React (Reasoning and Acting) framework, solving the platform's limitation of handling only simple queries. Enabled the agent to decompose complex requests into a sequence of tool usage and sub-tasks, expanding automatable tasks by 400%. Secured the company's first major enterprise contract as a direct result, which became the core IP of the platform.

AI Engineer at SweetRush

January 1, 2022 - June 1, 2022

Developed a predictive 'Learner Success' model to identify high-potential leaders for a Fortune 500 client, using hundreds of predictive signals derived from raw learner activity. Correlated engagement data with on-the-job performance KPIs to accurately identify future top performers (85% accuracy). Established the model as a new analytics product and the first data-backed validation of the training's long-term business impact.

ML Engineer at Etyon

November 1, 2017 - January 1, 2020

Built an enterprise-scale predictive churn prevention system on AWS SageMaker that became the foundation for the client's retention strategy. End-to-end solution included data pipelines, model training, and deployment; resulting in a robust baseline for ongoing retention improvements.

Data Scientist at Sweet Rush

January 1, 2022 - June 1, 2022

Developed a predictive 'Learner Success' model to identify high-potential leaders for a Fortune 500 client, transforming raw activity into hundreds of predictive signals and creating the foundational dataset for the model. Correlated engagement data with on-the-job KPIs to identify future top performers with 85% accuracy. Established this model as a data-backed, high-margin analytics product, driving measurable business impact.

AI Engineer at Clustera

February 1, 2020 - December 1, 2021

Conceived and launched a core multi-step agentic workflow using a React-based Reasoning and Acting framework, expanding the platform's capability from simple queries to complex task sequences by 400%. Secured the company's first major enterprise contract as a direct result of this capability; the work became the platform's core IP.