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Senior Python AI and Data Engineer with 14+ years of experience building production-grade AI/ML applications, data pipelines, and cloud-native backend systems. Expertise spans computer vision, NLP/LLMs, generative AI, and scalable distributed processing. Proven track record turning complex datasets into actionable insights—delivering KPI/analytics workflows, optimizing model and API performance, and deploying reliable inference and data services for enterprise and international remote teams.…Senior Python AI and Data Engineer with 14+ years of experience building production-grade AI/ML applications, data pipelines, and cloud-native backend systems. Expertise spans computer vision, NLP/LLMs, generative AI, and scalable distributed processing. Proven track record turning complex datasets into actionable insights—delivering KPI/analytics workflows, optimizing model and API performance, and deploying reliable inference and data services for enterprise and international remote teams.

Ro derick Dimaya

AI Engineer, Data Engineer, Data Analyst, +2

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Senior Python AI and Data Engineer with 14+ years of experience building production-grade AI/ML applications, data pipelines, and cloud-native backend systems. Expertise spans computer vision, NLP/LLMs, generative AI, and scalable distributed processing. Proven track record turning complex datasets into actionable insights—delivering KPI/analytics workflows, optimizing model and API performance, and deploying reliable inference and data services for enterprise and international remote teams.…Senior Python AI and Data Engineer with 14+ years of experience building production-grade AI/ML applications, data pipelines, and cloud-native backend systems. Expertise spans computer vision, NLP/LLMs, generative AI, and scalable distributed processing. Proven track record turning complex datasets into actionable insights—delivering KPI/analytics workflows, optimizing model and API performance, and deploying reliable inference and data services for enterprise and international remote teams.

Available to hire

Senior Python AI and Data Engineer with 14+ years of experience building production-grade AI/ML applications, data pipelines, and cloud-native backend systems. Expertise spans computer vision, NLP/LLMs, generative AI, and scalable distributed processing.

Proven track record turning complex datasets into actionable insights—delivering KPI/analytics workflows, optimizing model and API performance, and deploying reliable inference and data services for enterprise and international remote teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

Work Experience

Senior Python AI Engineer / Application Architect at Shangri-La Properties, Inc.

July 1, 2020 - May 1, 2026

Designed and deployed production-grade AI applications for international clients, focusing on computer vision, NLP, generative AI, and large-scale data processing. Built vision models with PyTorch/TensorFlow/OpenCV for detection/classification and improved accuracy by 15–25% using feature engineering, transfer learning, hyperparameter tuning, and optimization. Developed Transformer-based NLP solutions (BERT/GPT) for classification, semantic search, chatbot development, and sentiment analysis. Implemented real-time AI inference APIs using FastAPI and optimized backend latency by 30%+. Built distributed ETL pipelines processing millions of records using Apache Spark and cloud storage, and created KPI/analytics datasets and reporting workflows with Python, Pandas, and SQL. Containerized AI services with Docker and deployed workloads on AWS/Azure; collaborated with remote teams using Agile/DevOps.

Computer Vision Engineer / AI Engineer at Mobileye Global Inc.

April 1, 2018 - July 1, 2020

Developed and deployed production-grade computer vision solutions for real-time image processing and scalable inference services. Implemented object detection, image classification, OCR, face detection, object tracking, and anomaly detection using PyTorch, TensorFlow, OpenCV, and YOLO. Improved inference performance by 40% using quantization, TensorRT optimization, pruning, and GPU acceleration. Built end-to-end ML pipelines for preprocessing, training, validation, tuning, and deployment. Evaluated models using accuracy, precision, recall, F1, latency, and inference metrics to drive optimization decisions. Integrated models into backend services using Python and FastAPI/REST with a microservice approach. Containerized and deployed on AWS and Kubernetes; monitored production performance and iteratively improved reliability and accuracy.

Computer Vision Engineer / AI Engineer (Remote Contract) at Mobileye Global Inc.

April 1, 2018 - July 1, 2020

Developed production-grade computer vision solutions for real-time image processing and scalable inference services. Implemented object detection, image classification, OCR, face detection, object tracking, and anomaly detection using PyTorch/TensorFlow/OpenCV and YOLO. Improved inference performance by ~40% using quantization, TensorRT optimization, model pruning, and GPU acceleration. Built end-to-end ML pipelines from preprocessing and training through validation, tuning, and deployment. Integrated models into backend services using Python, FastAPI, and REST APIs; containerized with Docker and deployed on AWS and Kubernetes. Monitored production models and iteratively improved accuracy and reliability; worked with cross-functional teams using Agile methodologies.

Data Engineer / Big Data Engineer at Pentius Management, LLC

May 1, 2015 - April 1, 2018

Designed and maintained scalable data engineering solutions for enterprise analytics, BI, and machine learning initiatives across GB–TB scale datasets. Built distributed ETL pipelines using Python, Apache Spark, and Hadoop for structured/unstructured data ingestion and transformation. Implemented automated ingestion/transformation/validation workflows to improve data quality and processing efficiency. Performed exploratory/descriptive analysis using Python, SQL, Pandas, and Spark to identify trends, anomalies, and data-quality issues. Prepared analytics-ready datasets and reusable data models for dashboards and reporting. Optimized SQL queries and warehouse architecture/indexing to improve reporting and analytics performance by 50%. Automated scheduling, monitoring, and failure recovery; supported cloud and on-prem data platforms while following governance and ETL best practices.

Data Engineer at Data Horizon Philippines, Inc.

October 1, 2011 - May 1, 2015

Designed and maintained ETL pipelines and data processing workflows for enterprise analytics and data-driven decision-making. Ingested, transformed, and loaded data from multiple sources using Python and SQL. Optimized complex SQL queries and database performance, reducing retrieval time by 30–40%. Implemented data validation/cleansing and supported data warehouse development including star/snowflake schema design, indexing, and partitioning strategies. Automated recurring jobs and reporting pipelines to reduce manual workload; monitored and troubleshot pipeline issues to ensure reliability. Added logging/monitoring for ETL jobs and performed data profiling, trend analysis, reconciliation, and KPI calculations using Python and SQL.