Rodrigo Faria
AI GTM Specialist @ AWS | GenAI & Cloud Infrastructure | AI Sales | Revenue Growth
Amazon Web Services (AWS)I drive revenue growth through AI — partnering with high-growth startups to turn AI/ML and Generative AI into real business
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Currently an AI & GTM Specialist at Amazon (AWS), I partner with high-growth startups across LATAM to drive AI adoption and influence revenue outcomes — operating in a highly commercial, quota-driven My work has contributed to:• ~$7M+ in AI/ML revenue influenced across multiple deals and strategic initiatives• Multi-customer AI programs generating $1M+ ARR and repeatable sales playbooks• Significant YoY growth in AI adoption across the region (150%+), including GPU, GenAI, and ML servicesI combine technical depth in Generative AI and Machine Learning with strong commercial execution — engaging directly with founders, executives, and technical teams to move opportunities from early-stage exploration to closed My background includes building end-to-end ML solutions across finance, logistics, and consumer sectors, consistently delivering measurable impact in revenue growth, cost reduction, and operational I’m particularly interested in quota-carrying AI sales and GTM roles where technical expertise, customer engagement, and revenue ownership are tightly EU citizen (Italian passport) | Opinions expressed are my own
GTM Index
- AMAZON WEB SERVICES (AWS)JOB
- AI GTM Specialist1Y 11M
AI GTM Specialist | Driving Revenue & AI Adoption for Startups
Amazon Web Services (AWS)
Driving revenue growth through AI/ML and Generative AI for high-growth startups across Latin America, owning GTM execution from early-stage discovery to commercial outcomes. Key Impact & Achievements: • Influenced ~$3.5M+ in AI/ML revenue across multiple strategic deals, including large-scale infrastructure migrations and GenAI adoption initiatives • Drove 150%+ YoY growth in AI/ML adoption across LATAM, accelerating usage of GPU infrastructure, GenAI services, and ML platforms • Designed and executed multi-customer AI programs (e.g., fraud detection for fintechs), generating $500K+ ARR and creating repeatable sales playbooks across the region • Built and scaled ecosystem GTM initiativ…
- ILUMEOJOB
- Data Science Leader9M
Data Science Leader | Machine Learning & AI Specialist
ILUMEO
Led AI and machine learning initiatives across multiple client engagements, operating at the intersection of technical execution, product strategy, and business impact. • Partnered directly with clients, product, and engineering teams to translate business needs into AI-driven solutions, supporting product vision, roadmap definition, and go-to-market decisions • Designed and deployed machine learning models (regression & classification) for marketing and analytics use cases, enabling more data-driven decision-making • Built and implemented Generative AI solutions using LLMs and Retrieval-Augmented Generation (RAG), improving user experience and information retrieval accuracy • Developed…
- INMETRICSJOB
- Data Science Specialist6M
Data Science Specialist | Tech Lead
Inmetrics
Led client-facing AI and data initiatives, combining technical execution with business impact across multiple engagements. • Partnered directly with clients to translate business challenges into AI-driven solutions, supporting both technical delivery and value demonstration • Led end-to-end project execution, including solution design, stakeholder alignment, and delivery, while mentoring team members and driving knowledge transfer • Developed a Generative AI proof of concept (RAG-based) for legal document processing, significantly improving information access and reducing manual analysis efforts • Designed and implemented a multicloud cost management dashboard (AWS, GCP, Azure), enablin…
- TOPTALJOB
- Business Analyst1Y
Business Analyst | Product Analytics
Toptal
Supported product and business decision-making through data-driven insights in a global, remote-first environment. • Partnered with product managers to analyze user behavior and performance metrics, supporting roadmap prioritization and product improvements • Built analytical models and dashboards to track KPIs and identify growth opportunities • Generated insights that informed product strategy and continuous optimization initiatives • Operated in a fast-paced, international environment, collaborating with cross-functional teams across different geographies
- NUMBERS CAREJOB
- Co-Founder6Y
Co-Founder | ML Solutions Lead
Numbers Care
Co-founded and operated a boutique data and AI consultancy, delivering end-to-end analytics and machine learning solutions across multiple industries. • Led client engagements from problem definition to solution delivery, combining technical execution with business impact and stakeholder management • Designed and deployed data products (BI, ML, forecasting, ETL) for clients in banking, insurance, telecom, and consumer goods • Built strong client relationships through transparent communication and iterative delivery, driving trust and long-term partnerships • Delivered measurable business impact through data-driven solutions, including demand forecasting models that reduced operational w…
- MERCADO LIBREJOB
- Data Insights Coordinator9M
Data Insights Coordinator | Lead Data Scientist
Mercado Libre
Led a data team focused on improving logistics performance at scale, combining analytics, product thinking, and operational execution. • Took ownership of a critical logistics challenge: low same-day handling performance (~50%) driven by lack of visibility into seller operations • Designed and led the development of a centralized analytics platform to track seller performance, integrating data across logistics, CX, and operations • Identified key operational bottlenecks and translated them into actionable metrics, enabling prioritization of underperforming sellers • Challenged initial direction of building complex predictive models, proposing a simpler, high-impact ranking system aligne…
- LOGGIJOB
- Senior Data Analyst10M
Senior Data Analyst
Loggi
Worked on last-mile logistics optimization, combining advanced analytics, machine learning, and deep root-cause analysis to improve delivery success rates at scale. • Investigated high rates of delivery failures initially classified as “wrong address,” identifying that a significant portion was caused by UX bias in the courier interface rather than actual address issues • Developed a machine learning model to proactively detect incorrect delivery addresses before the first attempt, achieving ~80% accuracy and enabling human validation workflows • Reduced “wrong address” failure rates from ~5% to ~3% through predictive modeling and operational intervention, improving efficiency and reduci…
- ACCENTUREJOB
- Data Scientist7M
Data Scientist | Analytics Consultant
Accenture
Delivered data-driven solutions across energy, banking, and telecommunications clients, combining machine learning, analytics, and business understanding to drive measurable operational and commercial impact. • Developed a predictive maintenance model for a large energy provider, using historical equipment, environmental, and failure data to prioritize interventions based on risk and impact • Reduced maintenance-related outages from ~25% to below ~18%, improving operational efficiency and decreasing emergency repair costs • Built an end-to-end data solution for a major bank’s insurance division, enabling targeted up-sell, cross-sell, and retention strategies • Designed a customer segmen…
- THE LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE (LSE)JOB
- Data Scientist (Research)1Y 1M
Data Scientist (Research)
The London School of Economics and Political Science (LSE)
Contributed to an international research collaboration with leading academic institutions, applying statistical analysis and data science techniques to understand macroeconomic and consumer behavior dynamics. • Worked on a joint research project involving Columbia University, LSE, and a Brazilian startup, analyzing the relationship between unemployment insurance and retail consumption patterns • Processed and analyzed large-scale economic and behavioral datasets using SQL, R, and Stata, ensuring data quality and statistical robustness • Identified key correlations between income shocks and consumption behavior, generating insights into how unemployed individuals adjust spending patterns…
- UNIVERSITY OF VERONAJOB
- Visiting Fellow (Applied M…3M
Visiting Fellow (Applied Mathematics & Computer Science)
University of Verona
Selected for a competitive international fellowship program funded by the Italian government, focused on applied and financial mathematics within a computer science context. • Awarded a full scholarship (tuition + stipend) based on academic merit and quantitative background • Participated in advanced coursework and research-oriented seminars in applied mathematics, financial modeling, and computational methods • Strengthened analytical and mathematical foundations later applied to data science, machine learning, and AI-driven problem solving • Engaged with an international academic environment, collaborating with researchers and students across diverse backgrounds
- Job: Amazon Web Services (AWS) — AI GTM Specialist | Driving Revenue & AI Adoption for Startups · 2024-11 – present · 1y 9mo — Driving revenue growth through AI/ML and Generative AI for high-growth startups across Latin America, owning GTM execution from early-stage discovery to commercial outcomes. Key Impact & Achievements: • Influenced ~$3.5M+ in AI/ML revenue across multiple strategic deals, including large-scale infrastructure migrations and GenAI adoption initiatives • Drove 150%+ YoY growth in AI/ML adoption across LATAM, accelerating usage of GPU infrastructure, GenAI services, and ML platforms • Designed and executed multi-customer AI programs (e.g., fraud detection for fintechs), generating $500K+ ARR and creating repeatable sales playbooks across the region • Built and scaled ecosystem GTM initiativ…
- Job: ILUMEO — Data Science Leader | Machine Learning & AI Specialist · 2024-01 – 2024-10 · 9 mo — Led AI and machine learning initiatives across multiple client engagements, operating at the intersection of technical execution, product strategy, and business impact. • Partnered directly with clients, product, and engineering teams to translate business needs into AI-driven solutions, supporting product vision, roadmap definition, and go-to-market decisions • Designed and deployed machine learning models (regression & classification) for marketing and analytics use cases, enabling more data-driven decision-making • Built and implemented Generative AI solutions using LLMs and Retrieval-Augmented Generation (RAG), improving user experience and information retrieval accuracy • Developed…
- Job: Inmetrics — Data Science Specialist | Tech Lead · 2023-04 – 2023-10 · 6 mo — Led client-facing AI and data initiatives, combining technical execution with business impact across multiple engagements. • Partnered directly with clients to translate business challenges into AI-driven solutions, supporting both technical delivery and value demonstration • Led end-to-end project execution, including solution design, stakeholder alignment, and delivery, while mentoring team members and driving knowledge transfer • Developed a Generative AI proof of concept (RAG-based) for legal document processing, significantly improving information access and reducing manual analysis efforts • Designed and implemented a multicloud cost management dashboard (AWS, GCP, Azure), enablin…
- Job: Toptal — Business Analyst | Product Analytics · 2022-02 – 2023-02 · 1y — Supported product and business decision-making through data-driven insights in a global, remote-first environment. • Partnered with product managers to analyze user behavior and performance metrics, supporting roadmap prioritization and product improvements • Built analytical models and dashboards to track KPIs and identify growth opportunities • Generated insights that informed product strategy and continuous optimization initiatives • Operated in a fast-paced, international environment, collaborating with cross-functional teams across different geographies
- Job: Numbers Care — Co-Founder | ML Solutions Lead · 2016-01 – 2022-01 · 6y — Co-founded and operated a boutique data and AI consultancy, delivering end-to-end analytics and machine learning solutions across multiple industries. • Led client engagements from problem definition to solution delivery, combining technical execution with business impact and stakeholder management • Designed and deployed data products (BI, ML, forecasting, ETL) for clients in banking, insurance, telecom, and consumer goods • Built strong client relationships through transparent communication and iterative delivery, driving trust and long-term partnerships • Delivered measurable business impact through data-driven solutions, including demand forecasting models that reduced operational w…
- Job: Mercado Libre — Data Insights Coordinator | Lead Data Scientist · 2020-07 – 2021-04 · 9 mo — Led a data team focused on improving logistics performance at scale, combining analytics, product thinking, and operational execution. • Took ownership of a critical logistics challenge: low same-day handling performance (~50%) driven by lack of visibility into seller operations • Designed and led the development of a centralized analytics platform to track seller performance, integrating data across logistics, CX, and operations • Identified key operational bottlenecks and translated them into actionable metrics, enabling prioritization of underperforming sellers • Challenged initial direction of building complex predictive models, proposing a simpler, high-impact ranking system aligne…
- Job: Loggi — Senior Data Analyst · 2019-08 – 2020-06 · 10 mo — Worked on last-mile logistics optimization, combining advanced analytics, machine learning, and deep root-cause analysis to improve delivery success rates at scale. • Investigated high rates of delivery failures initially classified as “wrong address,” identifying that a significant portion was caused by UX bias in the courier interface rather than actual address issues • Developed a machine learning model to proactively detect incorrect delivery addresses before the first attempt, achieving ~80% accuracy and enabling human validation workflows • Reduced “wrong address” failure rates from ~5% to ~3% through predictive modeling and operational intervention, improving efficiency and reduci…
- Job: Accenture — Data Scientist | Analytics Consultant · 2017-11 – 2018-06 · 7 mo — Delivered data-driven solutions across energy, banking, and telecommunications clients, combining machine learning, analytics, and business understanding to drive measurable operational and commercial impact. • Developed a predictive maintenance model for a large energy provider, using historical equipment, environmental, and failure data to prioritize interventions based on risk and impact • Reduced maintenance-related outages from ~25% to below ~18%, improving operational efficiency and decreasing emergency repair costs • Built an end-to-end data solution for a major bank’s insurance division, enabling targeted up-sell, cross-sell, and retention strategies • Designed a customer segmen…
- Job: The London School of Economics and Political Science (LSE) — Data Scientist (Research) · 2016-06 – 2017-07 · 1y 1mo — Contributed to an international research collaboration with leading academic institutions, applying statistical analysis and data science techniques to understand macroeconomic and consumer behavior dynamics. • Worked on a joint research project involving Columbia University, LSE, and a Brazilian startup, analyzing the relationship between unemployment insurance and retail consumption patterns • Processed and analyzed large-scale economic and behavioral datasets using SQL, R, and Stata, ensuring data quality and statistical robustness • Identified key correlations between income shocks and consumption behavior, generating insights into how unemployed individuals adjust spending patterns…
- Job: University of Verona — Visiting Fellow (Applied Mathematics & Computer Science) · 2015-09 – 2015-12 · 3 mo — Selected for a competitive international fellowship program funded by the Italian government, focused on applied and financial mathematics within a computer science context. • Awarded a full scholarship (tuition + stipend) based on academic merit and quantitative background • Participated in advanced coursework and research-oriented seminars in applied mathematics, financial modeling, and computational methods • Strengthened analytical and mathematical foundations later applied to data science, machine learning, and AI-driven problem solving • Engaged with an international academic environment, collaborating with researchers and students across diverse backgrounds
- School: University of California, Berkeley, Haas School of Business — Executive Education, AI & Innovation
- School: USP - Universidade de São Paulo — Master of Science - MS, Statistics
- School: USP - Universidade de São Paulo — Bachelor of Science - BS, Computational and Applied Mathematics
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