reniel.galang()
Reniel F. Galang standing in the Makati business district at night
AVAILABLE · FORWARD DEPLOYED ENGINEER

Reniel F. Galang

> 

Computer Engineering graduate who takes conversational AI systems from requirements to a tested, deployed product. Currently validating customer-facing AI prototypes with structured test suites — 2,188 test runs at a 98.54% pass rate on my last major system.

Download ResumeView Projects
City of Cabuyao, Laguna, Philippines · Full Time · On-site/Hybrid in Makati or Taguig · Remote
reniel@fde:~/portfolio
$ whoami
Reniel F. Galang — AI Systems Developer
$ cat identity.md
I build AI systems, then prove they work.
$ cat stats.json
{
"test_runs": 0,
"pass_rate": 0.00%,
"regression_checks": "39/39",
"cgpa": 3.51 (cum laude range)
}
$ ./deploy
production ready
2,188
test runs
98.54%
pass rate
39/39
regression
PythonOpenAI APIPrompt EngineeringD-ID StudioVercelSupabaseFirebaseREST APIsGit / GitHubLangChainPineconeEmbeddingsLLMOpsHugging FaceMCPRegression TestingSmoke TestingRaspberry PiESP32-S3NFC / RFIDPythonOpenAI APIPrompt EngineeringD-ID StudioVercelSupabaseFirebaseREST APIsGit / GitHubLangChainPineconeEmbeddingsLLMOpsHugging FaceMCPRegression TestingSmoke TestingRaspberry PiESP32-S3NFC / RFID
01 / About

I bridge the gap between user needs, operational problems, and working technical solutions.

I am a Computer Engineer and part-time AI Systems Developer with hands-on experience developing Python-based systems, configuring embeddable conversational AI agents, working with the OpenAI API, and testing customer-facing AI workflows.

I led a five-member engineering team in developing a cloud-connected automated fare collection system integrating Python, Raspberry Pi, NFC, GPS, Firebase, Linux, and REST APIs.

I designed, logged, and executed 2,188 manual functional test executions across 21 scenarios, recording a 98.54% pass rate and helping validate integration, synchronization, fare computation, seat allocation, dashboard, alert, and failure-state behavior.

I translate operational requirements into prompts, conversation flows, application behavior, technical tasks, acceptance criteria, and structured testing processes.

I use artifact checklists, smoke tests, error logs, code revisions, and regression testing to improve AI prototypes through repeated development cycles.

I take ownership of understanding how a system should behave, reproducing what went wrong, documenting the evidence, and working through the next technical change.

I am building my career toward Forward Deployed Engineering, applied AI, and technical implementation roles where I can work directly with users, solve ambiguous problems, and help move solutions from requirements to reliable deployment.

02 / Now

Currently deployed.

SYSTEM STATUS · ONLINEuptime: shipping
Role
Part-Time AI Systems Developer @ Quantum Growth AI Automation Agency (Makati) — Jul 2026 – Present
Training
Associate AI Engineer for Developers — DataCamp × Data Engineering Pilipinas (Jun 2026 – Present). Python, GitHub, OpenAI API, Prompt Engineering, Hugging Face, LLMOps, Embeddings, Pinecone, LangChain, MCP.
Status
Open to Forward Deployed Engineer roles — Full Time · On-site/Hybrid in Makati or Taguig · Remote.
03 / Signature

The test suite is the portfolio.

Anyone can claim their AI system works. Here's what ‘works’ actually looks like — real check names from the two projects I've shipped this year, running in front of you.

AFCS · Regression suite
Automated Fare Collection System — 21 scenarios, 2,188 total runs
RUNNING
Card UID authentication (AES DESFire)…
Duplicate tap prevention window…
GPS distance → fare matrix mapping…
Atomic fare debit + audit log…
Seat allocation on boarding…
Live dashboard sync (realtime DB)…
Terminal offline queue + reconcile…
Driver interface — trip start/end…
Admin analytics — revenue rollup…
ISO/IEC 25010 evaluation pass…
0 / 1098.54%functional pass rate
AI Bartender · End-to-end smoke
Conversational AI prototype — 39-check regression suite
RUNNING
Greeting flow renders correctly…
Order intent recognition — 6 drinks…
Off-menu request → graceful decline…
Explicit confirmation before ticket…
One ticket per confirmed order…
Duplicate order prevention…
Drink → video mapping accuracy…
AI silent during video playback…
Session reset clears state…
Recovery from interrupted playback…
0 / 1039 / 39checks passing
04 / Featured projects

Four systems, shipped and measured.

Case studies with real numbers — the kind hiring managers can verify.

Jul 2026 — Presentflagship Private client build

AI Bartender — Conversational Prototype

AI Systems Developer · Quantum Growth AI Automation Agency

Developed and deployed a conversational AI bartender supporting six approved drinks with explicit order confirmation, one-ticket-per-order behavior, correct drink-to-video mapping, AI silence during playback, and bartender admin controls. Designed and completed a 39-check end-to-end smoke and regression suite covering greeting, ordering, off-menu handling, confirmation, duplicate prevention, ticket management, video playback, session reset, and recovery. Diagnosed and resolved defects — incorrect/missing videos, repeated orders, overlapping AI responses, wrong drink selection, speech during playback — through structured event logging and iterative test–fix–retest cycles.

D-ID StudioGit / GitHubVercelSupabase
View case study Private client build
verified outcomes
39/39
regression checks passing
6
supported drinks
Private
client build
Dec 2025 — Apr 2026flagship

Web-Based Automated Fare Collection System

Team Leader (5 engineers) · Capstone

Led a five-member team designing and developing a Python-based, cloud-connected fare collection system with commuter, driver, and administrator interfaces — card validation, terminal-based fare computation, seat allocation and monitoring, operational oversight, and financial analytics.

PythonFirebaseRaspberry PiNFCGPSREST APIs
View repository
verified outcomes
2,188
manual test runs
98.54%
functional pass rate
21
test scenarios
2,156
correct outcomes
4.56 / 4.57
ISO 25010:2023 (experts / users)
2026flagship Private client build

AI Receptionist — Queuing & Check-In Kiosk

Sole Developer · Quantum Growth AI Automation Agency

Built a foundational, generic AI-avatar queuing and check-in kiosk for high-traffic service points. Visitors check in by talking to the avatar or tapping a menu, then walk away with a queue ticket and QR code while their phone alerts them when their turn is near. Designed as a deployment-ready core for clinics, universities, and service desks — department lists, branding, and venue integrations are layered on top rather than rebuilt each time.

D-ID StudioConversational AIQueue ManagementMulti-Venue
View case study Private client build
verified outcomes
Multi-venue
deployment model
Sole dev
end-to-end
Phased
demoable build
2026flagship Private client build

AI KPI Dashboards — Operations Workflow MVP

Sole Developer

Delivered a Phase 1 MVP of an operations workflow system: CEO objectives cascade into department KPIs, employees submit evidence, managers approve, and automatic scoring feeds role-specific dashboards. Scoped as a capstone-grade build from a larger requirements roadmap covering contracts, sales, printing, finance, HR, inventory, and procurement.

PythonData ModelWorkflow DesignRole-Based Dashboards
View case study Private client build
verified outcomes
Phase 1
MVP
5
workflow stages
Sole dev
end-to-end
Evidence
approval flow
Currently building
8 phases complete
Tow Factory — Company Website Redesign

A single self-contained HTML client presentation for a towing company homepage redesign. Generated through a content/template/render pipeline with self-built QA tooling: automated content-coverage audit and responsive overflow checks across 375–1920 px.

Playable slice
Life Creation — Python Survival Game

A playable survival game vertical slice built in Python standard library. Procedural world, day/night temperature curve, fire gate, skill growth by doing, fog of war, and a death chronicle — with both tkinter and ANSI terminal front ends over one simulation.

Earlier work
Tunnel Worker Smart Glass Helmet

ESP32-S3 wearable safety system for underground workers — environmental sensing, OLED visor alerts, BLE + Wi-Fi dual connectivity, Firebase logging.

IoT Weather Monitoring System

ESP32-S3 weather station (PaNahonCheck!) — multi-sensor readings, local condition classification, LED/buzzer alerts, MQTT + Firebase publishing.

RFID ATM Simulation System

Physical Arduino/ESP32 ATM with RFID + keypad + LCD, Firebase-backed accounts, BLE thermal receipt printer, and a web admin dashboard.

Anti-Theft Bag Alarm System

Battery-powered ESP32 bag alarm with dual tilt-switch tamper detection, arm/disarm state machine, buzzer alert, and wireless Firebase intrusion alerts.

Wearable Air Quality Detector

Wrist/belt-worn ESP32-C3 air quality monitor — MQ-135 + MQ-7 gas sensing, DHT11 temp/humidity, OLED dashboard, BLE UART streaming to a phone.

Intruder Alert System

Arduino-based intrusion detector — IR sensor triggers a servo warning strike, LED + buzzer alarm sequence, then auto-resets.

05 / Experience

Professional experience.

Jul 2026
— Present

Part-Time AI Systems Developer

Makati, PH
Quantum Growth AI Automation Agency
  • Design and configure customer-facing conversational AI prototypes by translating business requirements into prompts, workflows, application behavior, and acceptance criteria.
  • Run structured smoke and regression tests, reproduce defects, revise code or agent configurations, and validate fixes across interruption, latency, duplicate actions, intent recognition, and media triggers.
  • Manage iterative development using Git, GitHub, VS Code, D-ID Studio, Vercel, and Supabase while maintaining error logs, priorities, limitations, and technical recommendations.
06 / What I do

Skills grouped by what they ship.

Applied AI

Prompt EngineeringOpenAI API IntegrationConversational AI Workflow DesignD-ID Studio (embeddable agents)

Programming & Integration

PythonREST APIs

Testing & Delivery

Smoke TestingFunctional TestingRegression TestingDefect ReproductionError LoggingAcceptance CriteriaTechnical Documentation

Deployment & Data

VercelSupabaseFirebaseGitGitHubVS Code
07 / Education

Foundation.

Aug 2022 — Jun 2026

Bachelor of Science in Computer Engineering

University of Cabuyao — Pamantasan ng Cabuyao (City of Cabuyao, Laguna)

CGPA · 3.51 · cum laude range
Dean's Lister · 1st Sem 2023–24
08 / Leadership

Beyond the terminal.

2023 – 2024

College of Engineering Representative

University Student Government of Pamantasan ng Cabuyao — represented engineering students, communicated stakeholder concerns, reviewed and voted on resolutions.

2025 – 2026

News Writer & Copyreader

PnC's The Herald — researched, wrote, edited, and verified news articles for the university's official publication under deadline.

RESPONDING · 24H

Hiring a Forward Deployed Engineer?

I turn requirements into working, tested, deployed AI systems — and I have the check names, defect logs, and pass rates to prove it. Let's talk.

renielgalang.py@gmail.com
LinkedIn GitHub Cabuyao, PH · Full Time · On-site/Hybrid in Makati or Taguig · Remote