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Albert Almeda

@albertalmeda

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AI, Data, and Cloud Engineer building scalable ML and real-time analytics systems.

United States

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What I'm looking for

I’m looking for a remote-friendly role where I can build LLM-powered automation and modern cloud data platforms, own end-to-end MLOps, and deliver clear business impact—like improved forecast accuracy and faster incident resolution.

I’m an AI, Data, and Cloud Engineer with 5+ years of experience turning business problems into scalable technical solutions. I build production ML models, modernize cloud architectures, and deliver real-time analytics systems that drive measurable outcomes.

I enjoy working at the intersection of AI and cloud—especially when it involves LLM integration, automation, and systems that support fast-growing teams. In my recent role, I designed and deployed an AI workflow using OpenAI GPT 4 and AWS Lambda, reducing manual review work by ~60% and improving accuracy across 20,000+ SKUs.

I’ve also built and operated cloud-native data and forecasting platforms. Using AWS SageMaker and native services, I improved forecast accuracy by 32%, helping reduce overstock by 18%, and I set up automated retraining and deployment pipelines so models stay up to date without manual intervention.

On the data engineering side, I’ve contributed to global data lake implementations (AWS S3, Glue, Athena) by restructuring data and optimizing query patterns to bring retrieval times from hours to seconds. I’ve also enhanced incident management with LLM-powered summarization and recommendations, integrating with ServiceNow and CloudWatch to reduce MTTR by 27%.

Experience

Work history, roles, and key accomplishments

Current

AI & Cloud Solutions Engineer

Current

Accenture

Dec 2023 - Present (2 years 6 months)

Delivered AI, cloud, and data engineering solutions including GPT-4 automation, forecasting platforms, enterprise data lakes, and LLM-powered incident management on AWS. Automated business workflows, improved forecast accuracy by 32%, reduced MTTR by 27%, optimized analytics performance, and enabled scalable, data-driven operations across global teams.

GPT 4 AWS Lambda AWS Sagemaker AWS S3 AWS Glue ServiceNow Integration Cloudwatch Python LLM LLM APIs (OpenAI LLM Integrations LLM Applications

Cloud Data Engineer

Globe Telecom

Jan 2021 - Dec 2023 (2 years 11 months)

Built an AI-driven churn prediction model in Python achieving 89% accuracy and reducing churn by 14% in pilot regions, while automating data pipelines with AWS Glue and cutting manual work by 70%. Modernized enterprise data and analytics by migrating to AWS RDS + S3 (3× faster queries, 25% lower storage costs) and creating Power BI dashboards that reduced incident detection time from 45 minutes to

Python Machine Learning Churn Modeling AWS Glue AWS RDS Amazon S3 Data Modeling Power BI SQL Pandas

Junior Data Engineer

FinServe Analytics

Jun 2020 - Dec 2020 (6 months)

Developed a loan risk classification model using scikit-learn, achieving 92% accuracy on validation data. Cleaned, transformed, and validated datasets with Python and Pandas, and collaborated to produce data pipelines feeding BI dashboards and ML prototypes.

scikit learn Python Pandas Data Cleaning Data Validation Data Pipelines Machine Learning SQL Dashboarding

Data Analyst Intern

TechSolutions PH

Jun 2019 - May 2020 (11 months)

Analyzed customer and operational datasets using Python, SQL, and Excel to support internal reporting needs. Built dashboards that reduced manual reporting time by 80% and assisted with migrating internal applications to AWS EC2.

Python SQL Excel Data Analysis Dashboarding Reporting AWS EC2 Data Visualization