Michael

Data Engineer | AI/ML Engineer | Data Scientist

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Overview

Looking for full-time work (8 hours/day)

at $4.73/hour ($909.09/month)

Bachelors degree

Last Active

April 27th, 2026 (12 days ago)

Member Since

June 3rd, 2022

Profile Description

I am a production-grade AI/ML Engineer and Data Engineer who builds scalable, cost-efficient systems. Most recently, I architected a multi-tenant AWS MLOps and Data platform that reduced model training costs by 98%.

I specialize in architecting scalable AWS-native solutions at the intersection of Data Engineering (ETL/IaC) and Agentic AI (LangGraph). I focus on Cloud Cost Optimization; by implementing local-first verification frameworks, I ensure your production pipelines are 100% verified before deployment, eliminating unnecessary AWS dev-cycle spend and redirecting your budget toward high-impact production growth.

I can help you:

- End-to-End Data Engineering: Build robust Raw > Validated > Curated pipelines using AWS Glue, Lambda, and S3 to ensure your business data is structured, versioned, and query-ready.
- Architect Production MLOps: Set up automated training and serverless deployment pipelines using Terraform, AWS SageMaker, and Docker.
- Automate Data Quality: Implement "quarantine" patterns and YAML-based validation engines to ensure 100% data integrity before it hits your analytics or models.
- Build High-Performance ETL: Use Polars and AWS Glue to process multi-tenant data with massive speed improvements over traditional frameworks.
- Develop Agentic AI Workflows: Build autonomous AI agents with memory using LangGraph for complex, multi-step business logic (e.g., regulatory compliance or automated support).

Client-Focused Skill Summary/Skills Description

- Data Engineering & Infrastructure: Terraform (IaC), AWS (Glue, S3, Lambda, ECR, Athena), Polars (Expert), SQL, ETL Architecture, Schema Versioning, Data Warehousing (S3 Lakehouse).

- MLOps & Production: AWS SageMaker, Docker, Local-First Development, CI/CD for ML, Anomaly Detection (Residual-based), SHAP (Explainability).

- AI & Generative AI: Agentic AI (LangGraph), LangChain, Hybrid RAG (BM25 + Semantic), Vector Databases (Qdrant, ChromaDB), Prompt Engineering, RAGAS (Evaluation).

- Machine Learning: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, Computer Vision, NLP/NLU.

- Development & Visualization: Python (Expert), JavaScript (ES6+), React, Tailwind CSS, Cytoscape.js (Network Mapping), Git.

Relevant Skills

- Data Engineering & ETL
- Infrastructure as Code (Terraform)
- MLOps Architecture (AWS)
- Agentic AI (LangGraph)
- High-Performance Data Processing (Polars)
- Retrieval-Augmented Generation (RAG)
- Python (Expert)
- Machine Learning (XGBoost, LightGBM)
- Automated Data Validation
- Strategic Technical Consulting

Highest Educational Attainment

- Data Engineering Zoomcamp (DataTalks.Club)
- AI/LLM Engineering for Software Developers - PSI AI Academy (Specialized in LangGraph & Agentic Patterns)
- Data Science Fellowship - Eskwelabs (Top-tier PH Data Science Bootcamp)
- Bachelor of Science in Architecture - University of Mindanao

Website & Portfolio

GitHub: ----------
HuggingFace: ----------
LinkedIn: ----------

Top Skills

Software » Data Engineering » SQL

Experience: 6 months - 1 year

Cloud Services » Google Cloud » Machine Learning

Experience: 1 - 2 years

Other Skills

Software » Python

Experience: 1 - 2 years

Software » Data Engineering

Experience: 6 months - 1 year

Cloud Services » AWS

Experience: Less than 6 months

Software » Version Control » Git

Experience: Less than 6 months

Customer Support » Phone Support » English Speaking

Experience: 5 - 10 years

Software » Data Engineering » Apache Airflow

Experience: 6 months - 1 year

Basic Information

Age: 29

Gender: Male

Website: Sign Up with Pro Account to View

Address: Aleosan, North Cotabato

Tests Taken: IQ
Score: 125: DISC
Dominance: 17
Influence: 7
Steadiness: 34
Compliance: 42: English
C2(Advanced/Mastery)

Government ID: Sign Up with Pro Account to View

“For years, I maxed out my hours, got burnt out, and the quality of my work would start to go down. I decided to take the leap, hire correctly, and now it frees up my time to focus on growing the business.”

Tyler Gies

SEE MORE REAL RESULTS

“We're super thrilled to have found her!”

- Laurie Stephens

see more real results

BENCHMARKS

Loading Time: Base Classes	0.0007
Controller Execution Time ( Jobseekers / Info )	0.0280
Total Execution Time	0.0293

GET DATA

No GET data exists

MEMORY USAGE

1,625,120 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/2110480

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0173 seconds) (Show)

0.0003	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0009	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '2110480' LIMIT 1
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0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '2110480' AND `is_private` = 1
0.0002	`SELECT * FROM employment WHERE jobseeker_id = '2110480' AND hired > -1`
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0.0005	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '2110480' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
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0.0003	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0002	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '2110480'
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0.0018	SELECT `jsct`., `jsct`.`id` as `jsct_id`, `sct`. FROM `jobseekers_skills_categories` `jsct` LEFT JOIN `skills_categories` `sct` ON `sct`.`id` = `jsct`.`skill_category_id` WHERE `sct`.`is_approved` = 1 AND `jsct`.`jobseeker_id` = '2110480' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '2110480'
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0004	SELECT * FROM `testimonial_videos` WHERE `placement` = 1 OR `placement` = 0 ORDER BY RAND()
0.0003	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0002	`select * from teasers`
0.0002	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0003	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

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