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Senior Machine Learning Engineer with 11+ years of experience designing, deploying, and scaling production-grade AI systems across NLP, computer vision, and predictive analytics. Proven expertise in developing machine learning models, including autoencoders for signal classification, and deploying solutions within enterprise applications. Successfully improved prediction accuracy by 20% and reduced false positives by 15% in previous projects. Skilled in leveraging cloud platforms such as AWS and Azure to deliver scalable AI solutions that meet diverse business needs.…Senior Machine Learning Engineer with 11+ years of experience designing, deploying, and scaling production-grade AI systems across NLP, computer vision, and predictive analytics. Proven expertise in developing machine learning models, including autoencoders for signal classification, and deploying solutions within enterprise applications. Successfully improved prediction accuracy by 20% and reduced false positives by 15% in previous projects. Skilled in leveraging cloud platforms such as AWS and Azure to deliver scalable AI solutions that meet diverse business needs.

German Miranda

AI Engineer, Data Scientist, Full Stack Developer, +2

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Senior Machine Learning Engineer with 11+ years of experience designing, deploying, and scaling production-grade AI systems across NLP, computer vision, and predictive analytics. Proven expertise in developing machine learning models, including autoencoders for signal classification, and deploying solutions within enterprise applications. Successfully improved prediction accuracy by 20% and reduced false positives by 15% in previous projects. Skilled in leveraging cloud platforms such as AWS and Azure to deliver scalable AI solutions that meet diverse business needs.…Senior Machine Learning Engineer with 11+ years of experience designing, deploying, and scaling production-grade AI systems across NLP, computer vision, and predictive analytics. Proven expertise in developing machine learning models, including autoencoders for signal classification, and deploying solutions within enterprise applications. Successfully improved prediction accuracy by 20% and reduced false positives by 15% in previous projects. Skilled in leveraging cloud platforms such as AWS and Azure to deliver scalable AI solutions that meet diverse business needs.

Available to hire

Senior Machine Learning Engineer with 11+ years of experience designing, deploying, and scaling production-grade AI systems across NLP, computer vision, and predictive analytics. Proven expertise in developing machine learning models, including autoencoders for signal classification, and deploying solutions within enterprise applications. Successfully improved prediction accuracy by 20% and reduced false positives by 15% in previous projects. Skilled in leveraging cloud platforms such as AWS and Azure to deliver scalable AI solutions that meet diverse business needs.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Machine Learning Engineer at Bitly

April 1, 2022 - November 1, 2025

Developed production-grade ML and Generative AI solutions for enterprise analytics and partner-facing use cases; improved prediction accuracy by 20% and reduced false positives by 15%. Architected advanced AI workflows using LangChain and LangGraph for multi-step reasoning, tool execution, and automated decision-making. Developed Retrieval-Augmented Generation (RAG) pipelines with Python, vector databases, and LLMs for context-aware insights and automated reporting. Implemented comprehensive ML pipelines for data ingestion, feature engineering, model training, validation, and deployment. Integrated Azure AI services (Azure OpenAI, Azure AI Search, Azure ML, Cognitive Services) to support scalable training and inference. Collaborated with product, engineering, and business teams to preprocess large-scale datasets with Pandas, NumPy, and PySpark, accelerating decision-making by 30%. Optimized cloud-native Azure architectures improving stability by 25% and ensuring regulatory compliance.

Senior Machine Learning Engineer at Copper Digital Inc

January 1, 2019 - March 1, 2022

Collaborated with cross-functional teams to refine C# application interfaces; modular architecture for scalable signal classification; optimized data handling with 30% latency reduction; integrated ML models into production C# apps yielding 40% reduction in processing time. Built robust ML models in C# for real-time signal classification with 25% accuracy gains. Architected and deployed a Python-based NLP enterprise assistant using transformer models, orchestration, and knowledge retrieval, boosting employee productivity by 35%. Designed AI workflows for query routing and service coordination across NLP components; implemented knowledge-grounded NLP pipelines with vector embeddings and transformer models; developed an AI-driven IT support automation platform reducing ticket resolution time by 40%. Integrated NLP with enterprise systems via REST APIs, cloud AI services, and Python microservices. Implemented data preprocessing and ML pipelines with Pandas/NumPy; containerized models with

Junior Machine Learning Engineer at ENO8

April 1, 2016 - November 1, 2018

Developed initial ML pipelines in Python to automate manual analysis, shortening turnaround time by 60%. Worked on ML models and data preprocessing; contributed to signal processing tasks.

Junior Machine Learning Developer at Walmart

January 1, 2015 - April 1, 2016

Collaborated with cross-functional teams to gather requirements and refine the C# application interface, increasing user engagement and satisfaction by 20% post-deployment. Architected modular C# architecture to support future enhancements of signal classification; optimized data handling reducing latency by 30%. Integrated ML model within existing C# application, achieving a 40% reduction in processing time. Developed a robust ML model using C# for real-time signal classification with 25% accuracy improvements. Implemented a Python-based NLP enterprise assistant utilizing transformer models, orchestration logic, and knowledge retrieval; designed AI workflows to manage query routing and service coordination; implemented knowledge-grounded NLP pipelines using vector embeddings and transformer models; built an AI-driven IT support automation platform reducing ticket resolution time by 40%.