Catherine

Machine Learning Engineer | A.I. App Developer

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Overview

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

at $25.22/hour ($4,800.00/month)

Bachelors degree

Last Active

April 18th, 2026 (14 days ago)

Member Since

October 3rd, 2015

Profile Description

I am a dedicated Machine Learning Engineer with a solid
background in Software Development and Testing, currently based in Toronto. My
career includes over 10 years as a Software Quality Assurance Engineer, where
I've gained substantial experience in all facets of the Software Development
Life Cycle and ISTQB fundamentals. I am an internal passer of ISTQB conducted
by my current employer and actively contribute to our program for continuous
improvement, particularly during System Evaluation processes. I strive to
enhance our methods by addressing the weaknesses of existing processes, thereby
increasing efficiency and effectiveness.

As a Software Test Engineer, I have expertise in various
test types, including Functional, Non-Functional, and Change-related testing
during system and user-acceptance testing phases. My responsibilities have
encompassed creating test specifications based on customer requirements and
company standards, developing test plans, test matrices, and schedules for
approval, and establishing test environments to execute plans effectively.
In addition to Software Testing, my experience extends to
Test Automation within an automotive company, where I developed test suites to
automate manual test specifications. I also have experience in Windows Hardware
Quality Labs (WHQL) testing to verify product compatibility with Windows
operating systems.

My technical skills are broad and deep, including
proficiency in Python, Java, SQL, Kotlin, and extensive use of AWS technologies
in cloud-based and on-premise solutions. I have successfully applied Machine
Learning algorithms in projects like "Wow Photos," a voice-driven
digital photo management tool, and "CropSense," a data-driven
recommendation system for enhancing agricultural productivity. My project
"Predicting the Stages of PDAC using Non-Invasive Methods" involved developing
non-invasive predictive models for cancer staging, which showcased the
potential of ML in medical diagnostics.

I continue to apply my skills in project management and
testing in various environments, including Windows, MAC, and Linux, using tools
like JIRA, Microsoft Teams, Oracle Virtual Box, and Skytap Cloud. My ongoing
commitment to professional development and innovation in software testing and
machine learning drives me to continuously enhance my technical prowess and
contribute meaningfully to the projects I engage with.

For more details on my projects and professional background,
you can visit my LinkedIn: ----------
Project portfolio: ----------

Top Skills

Cloud Services » Google Cloud » Big Data

Experience: 1 - 2 years

Cloud Services » Google Cloud » Machine Learning

Experience: 1 - 2 years

Cloud Services » IBM Cloud » Machine Learning

Experience: 1 - 2 years

Other Skills

Software » Data Engineering

Experience: 1 - 2 years

Basic Information

Age: 36

Gender: Female

Website: Sign Up with Pro Account to View

Address: Tagbilaran, Bohol

Tests Taken: IQ
Score: 107: DISC
Dominance: 52
Influence: 11
Steadiness: 8
Compliance: 29: English
C1(Advanced)

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 )	0.0304
Total Execution Time	0.0317

GET DATA

No GET data exists

MEMORY USAGE

1,607,696 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/225885

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0195 seconds) (Show)

0.0003	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0014	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '225885' LIMIT 1
0.0047	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '225885'
0.0009	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '225885'
0.0002	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '225885' AND `is_private` = 1
0.0016	`SELECT * FROM employment WHERE jobseeker_id = '225885' AND hired > -1`
0.0007	`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 = '225885' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
0.0003	`SELECT * FROM skill_categories ORDER BY cat_order ASC`
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0.0003	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 225885 LIMIT 1`
0.0009	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 225885 LIMIT 1`
0.0005	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '225885' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0004	`SELECT *, DATEDIFF('2026-05-01',rebill_date) duration_rebill FROM employers WHERE employer_id = ''`
0.0002	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0007	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '225885'
0.0024	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0009	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` = '225885' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '225885'
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()
0.0002	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0003	`select * from teasers`
0.0002	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0001	`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 = ''`
0.0002	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

__ci_last_regenerate	1777679578
last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/225885
csrf-token	11090630a6a09207967dce3d1f55503e

CONFIG VARIABLES (Show)

base_url	https://v1.stage.onlinejobs.ph
log_threshold	2
enable_profiler
index_page
uri_protocol	PATH_INFO
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language	english
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enable_query_strings
controller_trigger	c
function_trigger	m
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log_file_extension
log_file_permissions	420
log_date_format	Y-m-d H:i:s
error_views_path
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sess_save_path
sess_match_ip
sess_time_to_update	300
sess_regenerate_destroy
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cookie_path	/
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cookie_httponly
standardize_newlines
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csrf_token_name	csrf_test_name
csrf_cookie_name	csrf_cookie_name
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csrf_regenerate	1
csrf_exclude_uris	Array ( )
compress_output
time_reference	local
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maintenance	Array ( [admin] => Array ( [verification] => ) [announcement_bar] => Array ( [show_slow_issue_message] => ) )
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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