Michael

Data Engineer | AI/ML Engineer | Data Scientist

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Overview

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

at $4.78/hour ($909.09/month)

Bachelors degree

Last Active

April 27th, 2026 (5 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

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BENCHMARKS

Loading Time: Base Classes	0.0008
Controller Execution Time ( Jobseekers / Info )	0.0280
Total Execution Time	0.0294

GET DATA

No GET data exists

MEMORY USAGE

1,625,184 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/2110480

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0178 seconds) (Show)

0.0003	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0010	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '2110480' LIMIT 1
0.0031	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '2110480'
0.0013	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '2110480'
0.0002	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`
0.0002	`SELECT employers.contact_name, ec.employer_id, ec.jobseekers_id, ec.is_jobseeker_reply, ec.employer_date, ec.employer_comment, ec.lastmodified FROM employers LEFT JOIN employer_comment ec on employers.employer_id = ec.employer_id WHERE ec.jobseekers_id = '2110480' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
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0.0004	`SELECT * FROM skill_subcategories ORDER BY subcategory ASC`
0.0002	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 2110480 LIMIT 1`
0.0011	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 2110480 LIMIT 1`
0.0006	`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`
0.0003	`SELECT *, DATEDIFF('2026-05-02',rebill_date) duration_rebill FROM employers WHERE employer_id = '0'`
0.0002	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0009	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '2110480'
0.0025	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
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 = ''`
0.0003	SELECT * FROM `testimonial_videos` WHERE `placement` = 1 OR `placement` = 0 ORDER BY RAND()
0.0004	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0003	`select * from teasers`
0.0003	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
0.0003	`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 = ''`
0.0002	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

__ci_last_regenerate	1777691349
last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/2110480
csrf-token	b2be0c1ef8c98f5b66ed48d0875b3f3b

CONFIG VARIABLES (Show)

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log_threshold	2
enable_profiler
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csrf_cookie_name	csrf_cookie_name
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csrf_regenerate	1
csrf_exclude_uris	Array ( )
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time_reference	local
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maintenance	Array ( [admin] => Array ( [verification] => ) [announcement_bar] => Array ( [show_slow_issue_message] => ) )
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replacemyself_secret_key	Kk1WpgTMkc4wBQOqC5rqCssdLhACKrsJeTtO1ywUkT4=
app	Array ( [app] => Array ( [command] => Array ( [map] => Array ( [OnlineJobs\Mailer\Command\SendEmailCommand] => OnlineJobs\Mailer\Handler\SendEmailHandler [OnlineJobs\Mail\Command\SendEmailCommand] => OnlineJobs\Mail\Handler\SendEmailHandler [OnlineJobs\Mail\Command\QueueEmailPendingCommand] => OnlineJobs\Mail\Handler\QueueEmailPendingHandler [OnlineJobs\Mail\Command\QueueJobEmailPendingCommand] => OnlineJobs\Mail\Handler\QueueJobEmailPendingHandler [OnlineJobs\Mail\Command\QueueUnapprovedEmailCommand] => OnlineJobs\Mail\Handler\QueueUnapprovedEmailHandler [OnlineJobs\Mail\Command\ProcessEmailQueueCommand] => OnlineJobs\Mail\Handler\ProcessEmailQueueHandler [OnlineJobs\Mail\Command\PutJobseekerEmailOnHoldCommand] => OnlineJobs\Mail\Handler\PutJobseekerEmailOnHoldHandler [OnlineJobs\Purchase\Command\RealEstateVaCourseCommand] => OnlineJobs\Purchase\Handler\RealEstateVaCourseHandler [OnlineJobs\Test\Command\HelloCommand] => OnlineJobs\Test\Handler\HelloHandler ) [middleware] => Array ( ) ) [providers] => Array ( [0] => OnlineJobs\Bus\BusServiceProvider [1] => OnlineJobs\Database\DbServiceProvider [2] => OnlineJobs\Mailer\MailerServiceProvider [3] => OnlineJobs\Support\SupportServiceProvider [4] => OnlineJobs\Employer\ServiceProvider [5] => OnlineJobs\Jobseeker\ServiceProvider [6] => OnlineJobs\Mail\ServiceProvider [7] => OnlineJobs\Postal\ServiceProvider [8] => OnlineJobs\Queue\ServiceProvider [9] => OnlineJobs\Courier\ServiceProvider [10] => OnlineJobs\Job\ServiceProvider [11] => OnlineJobs\Purchase\ServiceProvider ) ) )
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honeypot	Array ( [name_field] => my_name [enabled] => 1 )

HTTP_ACCEPT	/
HTTP_USER_AGENT	Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
HTTP_CONNECTION	Upgrade
SERVER_PORT	80
SERVER_NAME	v1.stage.onlinejobs.ph
REMOTE_ADDR	127.0.0.1
SERVER_SOFTWARE	Apache/2.4.58 (Ubuntu)
HTTP_ACCEPT_LANGUAGE
SCRIPT_NAME	/index.php
REQUEST_METHOD	GET
HTTP_HOST
REMOTE_HOST
CONTENT_TYPE
SERVER_PROTOCOL	HTTP/1.1
QUERY_STRING
HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_X_FORWARDED_FOR	216.73.217.75
HTTP_DNT