@marioespinosa - Head of Data Enngineering and ML

Head of Data Enngineering and ML

Data Engineer

Available for hire

Years of experience

10+ years

Experience level

Principal

Available for

Full-time

Available from

04 Jun 2026

Head of Data & Machine Learning blending background in Web3 and global financial institutions with 10+ years of experience. Python and data pipelines are my strongest with breadth to contribute across backend systems, infra and DevOps when the work demands it. Deep experience in on-chain data, tokenomics and DeFi research given my understanding of staking, liquidity mining, decentralized governance, and Layer 1 blockchain dynamics. I do not look for better dashboards,I make the data a true competitive advantage for the ecosystem

Employment History

Head of Dat and ML at Avalanche Foundation 2024 - 2026

Lead Applied Science and Machine Learning Organization for Avalanche Card.  Led full-stack data acquisition system and analytic research for in-depth RWA tokenization (Structured Light, Time-of-Flight and LIDAR).  Led the user experience study for L1s on boarding and collaborated on BD with cross-functional teams.  DeFi liquidity pool risk analytics based on decoded logs and traces, enabling historical analysis and live risk monitoring and developed a strategy to achieved +$15M P&L with a Max Draw Down 35%  Developed ML models for sybil detection and wallet behavioral analysis to optimize the Retro 9000 airdrop. Successfully targeted genuine users, achieving a 64% token retention rate over 6 months and limiting first-week sell-offs to just 15%  Architected end-to-end data pipelines from scratch to ingest 700 GB of daily on-chain/off-chain data.  Designed the first income-based 'L1 GDP' framework of the industry  Own the responsibility for overseeing the development and implementation of the company's big data strategies and solutions, ensuring the effective use of big data analytics and tools, and driving business value through Data and AI-driven insights and decisions.

SVP. Quantitative Risk & Predictive Modeling at Citibank 2023 - 2024

 Led large data research of customer analytics and corporate business strategies in Data Platform and User Experience.  Built scalable data mining, recommender system and deep learning models for next generation enterprise products.  Led a high-performing data engineering team, driving annual development cost savings of $500M USD.  Modernized CI/CD and deployment infrastructure by containerizing microservices and ETL tasks with Docker, deploying builds through OpenShift across virtual machines and AWS Cloud, and managing version control via Bitbucket.  Built statistical models based on classical factor models for equity prices under different circumstances.  Analyzed alphas of the equity prices and infer the drivers for such alphas.

Sr. Tokenomics & Data Lead at The Root Network 2021 - 2024

 Led the design and launch of tokenomics, architecting token distribution models, incentive mechanisms, and governance structures to ensure long-term economic sustainability and maximize community engagement.  Architected scalable data infra and ETL pipelines massive volumes of NFT data, significantly reducing latency and accelerating data processing speeds while ensuring complete data integrity.  Engineered machine learning algorithms and statistical models analyzing complex NFT datasets to uncover actionable behavioral trends and continuously optimize token incentive programs.  Developed comprehensive analytics dashboards blending on-chain metrics from Dune Analytics with off-chain data from MongoDB and Elasticsearch to monitor liquidity, token performance, and user activity for executive operations.

AVP. Business Analyst at Citibank 2019 - 2023

 Architected large-scale banking data pipelines, reducing data processing time by 30% and enhancing overall accuracy.  Processed and managed massive volumes of transaction data across distributed clusters for complex feature extraction and data aggregation.  Engineered risk scoring and fraud detection ML models, applying advanced feature engineering to historical transaction data.  Mitigated institutional risks by detecting over 10M potentially fraudulent transactions, saving $5M+ in penalties.  Led a team of data analysts in the development and deployment of predictive machine learning models to identify high- potential prospects, driving a 15% increase in successful new client acquisitions.

Supply Chain Analyst at Costco Wholesale 2016 - 2018

 Decreased energy consumption in bakery production by 10% by engineering a sophisticated loss function .  Developed advanced demand forecasting models for perishable goods utilizing ML techniques, enabling proactive inventory planning and reducing excess inventory costs by 15%.  Analyzed large-scale departmental data to identify historical trends and optimize inventory levels, successfully reducing stockouts by 20%

Education

Master in Sciendce of Machine Learning at OBS Barcelona Universitat 2026 - 2027

Bachelor of Mechatronics Engineer at Tecnologico de Monterrey 2013 - 2018

Head of Data Enngineering and ML

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Employment History

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