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I am a Senior Machine Learning Engineer with 11 years of experience driving AI initiatives across fintech, data platforms, and scalable ML systems. I specialize in building end-to-end ML pipelines, deploying LLM-powered agents, and leading cross-functional teams to ship high-impact solutions that accelerate product time-to-market. I thrive on turning complex data into practical insights, fostering robust monitoring, and mentoring engineers to adopt best practices in Python, PyTorch, and cloud architectures. I'm passionate about creating delightful user experiences while delivering value to customers and stakeholders.…I am a Senior Machine Learning Engineer with 11 years of experience driving AI initiatives across fintech, data platforms, and scalable ML systems. I specialize in building end-to-end ML pipelines, deploying LLM-powered agents, and leading cross-functional teams to ship high-impact solutions that accelerate product time-to-market. I thrive on turning complex data into practical insights, fostering robust monitoring, and mentoring engineers to adopt best practices in Python, PyTorch, and cloud architectures. I'm passionate about creating delightful user experiences while delivering value to customers and stakeholders.

Mateo De Labay

Back-End Developer, Data Scientist, Full Stack Developer, +4

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I am a Senior Machine Learning Engineer with 11 years of experience driving AI initiatives across fintech, data platforms, and scalable ML systems. I specialize in building end-to-end ML pipelines, deploying LLM-powered agents, and leading cross-functional teams to ship high-impact solutions that accelerate product time-to-market. I thrive on turning complex data into practical insights, fostering robust monitoring, and mentoring engineers to adopt best practices in Python, PyTorch, and cloud architectures. I'm passionate about creating delightful user experiences while delivering value to customers and stakeholders.…I am a Senior Machine Learning Engineer with 11 years of experience driving AI initiatives across fintech, data platforms, and scalable ML systems. I specialize in building end-to-end ML pipelines, deploying LLM-powered agents, and leading cross-functional teams to ship high-impact solutions that accelerate product time-to-market. I thrive on turning complex data into practical insights, fostering robust monitoring, and mentoring engineers to adopt best practices in Python, PyTorch, and cloud architectures. I'm passionate about creating delightful user experiences while delivering value to customers and stakeholders.

Available to hire

I am a Senior Machine Learning Engineer with 11 years of experience driving AI initiatives across fintech, data platforms, and scalable ML systems. I specialize in building end-to-end ML pipelines, deploying LLM-powered agents, and leading cross-functional teams to ship high-impact solutions that accelerate product time-to-market.

I thrive on turning complex data into practical insights, fostering robust monitoring, and mentoring engineers to adopt best practices in Python, PyTorch, and cloud architectures. I’m passionate about creating delightful user experiences while delivering value to customers and stakeholders.

Skills

Experience Level

Expert

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Language

English

Fluent

Work Experience

Data Scientist at The Hackett Group

September 1, 2024 - September 1, 2024

Managed ETL processes using AWS Glue and loaded data into Amazon Redshift. Built automated data pipelines with AWS Step Functions to integrate multiple data sources and implemented an AWS Data Lake for scalable storage of raw and processed data. Collabo rated with engineers to optimize data workflows and improve query performance. Established Amazon CloudWatch alerts for ETL monitoring, automated data validation with Lambda and SNS for real-time issue detection. Achieved a 20% reduction in data processing times through performance analysis and optimization. Used AWS Athena for ad-hoc querying and created Amazon QuickSight dashboards to visualize performance metrics. Migrated legacy ETL processes to AWS, reduced costs, and tuned Redshift clusters. Documented workflows and best practices for team-wide knowledge sharing.

Lead Software Engineer at ITC Management Group

January 1, 2024 - January 1, 2024

Led machine learning projects using Databricks to analyze Bitcoin ASIC patterns and drive Layer 3 market strategy research for product development. Built Generative AI agents using OpenAI's API, LlamaIndex, and LangChain to enhance conversational AI and automate user interactions. Developed an AI card game player with PyTorch reinforcement learning, integrated with Flask and Unity3D. Streamlined big data processing with PySpark, Apache Spark, and Hadoop; created a shopping mall website with Node.js and Next.js; improved performance and SEO of websites. Deployed ML models with Python and Flask, implementing CI/CD pipelines to reduce time-to-market by 40%. Implemented microservices with Kubernetes and Docker on AWS/GCP; built RESTful APIs with OAuth2.0 and JWT; built predictive analytics using TensorFlow and scikit-learn; monitored systems with Prometheus and Grafana; led code reviews and mentored juniors; applied Agile methodologies.

Senior ML/Backend Engineer at Timeplayer Japan

January 1, 2020 - January 1, 2020

Developed a cryptocurrency exchange platform that generated $1 million in revenue by delivering real-time trading experiences using Node.js, React, React Native, WebSocket, and blockchain technologies. Led Tacotron-based TTS model development achieving ~80% accuracy to enhance user interactions with natural speech synthesis. Created an AI-driven fitness application using MediaPipe, TensorFlow, and OpenCV to provide real-time pose feedback during yoga lessons. Built a customer management system serving 10,000 users with Node.js, Redux, MySQL, React, and Redis to ensure high performance. Designed a high-performance e-commerce platform with Django, PostgreSQL, and React supporting up to 50,000 monthly users. Implemented personalized recommendations using Python, TensorFlow, and scikit-learn. Streamlined deployment with CI/CD pipelines using Jenkins, Docker, Kubernetes, and AWS, enabling faster releases.

Senior Machine learning & Data Scientist at Nas Tech Japan

July 1, 2016 - July 1, 2016

Engineered a stock market analysis website with dynamic chart analysis using Python, Django, and mathematical algorithms to boost user engagement. Developed an education assistant platform using PHP, Laravel, PostgreSQL, WordPress to improve user satisfaction and retention. Enhanced website usability by 40% and decreased bounce rates by 25% via UX/UI improvements with Figma. Implemented ML algorithms for personalized stock recommendations to drive platform adoption. Built a data analytics dashboard using Python and Plotly to visualize stock trends. Automated data extraction and analysis with BeautifulSoup and pandas, reducing manual processing time by 40%.

Senior AI/ML Engineer at Ntro.io

October 1, 2024 - Present

Developed real-time AI agents and an AI copilot for interview support; resolved latency and hallucination bottlenecks to improve reliability; built monitoring/analytics for LLM usage and performance; finetuned LLMs using GRPO methodology; implemented multimodal agents processing text, images, code and voice for context-aware responses.

Senior AI/ML Engineer at ITC Management Group

March 1, 2020 - January 31, 2024

Led ML projects analyzing Bitcoin ASIC patterns and Layer 3 market strategy; built multi-task AI agents using LLMs, LangChain and RAG; used PySpark and Hadoop with Data Lake architectures; improved website performance/SEO with Node.js and Next.js; built predictive analytics with PyTorch/Scikit-learn; monitored with WandB and Grafana; led code reviews and mentoring.

Senior ML/Backend Engineer at Timeplayer

August 1, 2016 - January 31, 2020

Developed a cryptocurrency exchange platform with Node.js, MongoDB, React/React Native, Blockchain and WebSocket for real-time transactions; built Tacotron-based TTS model achieving 80% accuracy; created AI-driven fitness app using MediaPipe, TensorFlow and OpenCV; developed AI card game player with PyTorch and RL; built a customer management system for 10,000 users; designed a high-performance e-commerce platform with Django, PostgreSQL and React.

Full Stack Developer at Nas Tech

June 1, 2015 - July 31, 2016

Engineered stock market analysis website with Python, Django, and dynamic charting; built education assistant platform with PHP/Laravel; improved usability with UX/UI improvements; implemented ML algorithms for stock recommendations; built a data analytics dashboard; automated data extraction with BeautifulSoup and pandas.