Open for AI Automation & Intelligent Systems Roles • Metro Manila / Remote

Licensed Electronics Engineer (ECE • ECT)

Engr. Emman Alcazar

AI Automation & Intelligent Systems

"I build autonomous AI agents, n8n automation pipelines, and intelligent systems that eliminate repetitive manual work and help businesses scale faster."

PRC Registered • Electronics Engineer (ECE) PRC Registered • Electronics Technician (ECT) DataCamp • Certified AI Engineer (AIEDA0015580025435)

Explore Systems View Credentials

Connect:

systems-runtime

SYSTEM ONLINE

NODE: NAIA_T3_APRON_CAM_07 STREAM ACTIVE (RTSP)

RESOLUTION

4K H5A-PTZ

FRAME RATE

30.0 FPS

AI LATENCY

18.4 ms

> [Avigilon Unity] Model inference: Ramp Area Aircraft Pushback

> [FOD / Tarmac] False-positive heat shimmer filter: VERIFIED

> [SOC Stream] 28 IP nodes aggregated over 3.5km fiber ring

Lead Systems Engineer

PRC ECE • ECT

Philosophy

ZERO-G RUNTIME // INTERACTIVE STACK

Drag & toss cards into zero-g • Hover to inspect

Claude

OpenAI

Gemini AI

Python

FastAPI

n8n

TypeScript

Node.js

Supabase

PostgreSQL

grammY

Telegram API

Docker

Git

GitHub Actions

Next.js

Tailwind CSS

Vercel

pandas

scikit-learn

01 // Foundations & Rigor

Hardware Rigor Meets Production-Grade AI Automation

As a Licensed Electronics Engineer (ECE & ECT), I bring systems thinking, sensor telemetry, and fault-tolerant architecture to autonomous AI agents, n8n automation pipelines, and mission-critical software.

Engineering Systems Thinking

Systems Thinking, Telemetry, and Fault-Tolerant AI Architecture

My engineering background as a Licensed Electronics Engineer (ECE) and Licensed Electronics Technician (ECT) was forged in demanding physical environments. From executing Megger insulation resistance testing on high-voltage substation power transformers at JG Summit Olefins Corporation, to engineering airport airfield CCTV telemetry over 3.5km fiber backbones at REYBIN INC, I learned that production systems must be deterministic, resilient, and built with fail-safe boundaries.

I bring that exact systems discipline into autonomous AI automation and intelligent pipelines. Whether designing self-healing n8n workflows, deploying FastAPI multi-agent backends powered by Google Gemini AI, or architecting stateful databases with Supabase & PostgreSQL, I engineer intelligent systems that eliminate repetitive manual toil and empower businesses to scale reliably.

PRC Licensure

ECE • ECT

Automation Core

n8n • Gemini

RAG Recall@5

94.2%

Official PRC Licensures & Degree

PRC Registered Dec 2025

Registered Electronics Engineer (ECE)

Professional Regulation Commission, Philippines

PRC Registered Dec 2025

Registered Electronics Technician (ECT)

Professional Regulation Commission, Philippines

Bachelor of Science Graduated 2025

BS in Electronics Engineering

University of Santo Tomas – Legazpi

Philippine ECE RA 9292 Compliant • Active Status

Career Trajectory & Field Engineering

NAIA Terminal 3 Apron • Applied AI • Substation Operations

2026 – Present Pasay City, Metro Manila, Philippines

Electronics & Systems Engineer / Site Engineer / Safety Officer 2

REYBIN INC

Leading the deployment, telemetry integration, and operational maintenance of mission-critical airport CCTV infrastructure (NAIA Terminal 3 Apron CCTV project) powered by Avigilon Unity AI video analytics.

Engineered deployment of 28 enterprise IP camera nodes (including 4K H5A-PTZ and 5MP IR bullets) over a 3,500m single-mode armored fiber optic backbone.
Configured 128TB RAID-6 Avigilon NVR Enterprise storage servers and integrated real-time video analytics with the Ramp Control Room.

Avigilon Unity AI IP Telemetry Fiber Optics Python RTSP / ONVIF Project Management DOLE OSH

2025 – Present Metro Manila, Philippines

AI Automation & Intelligent Systems Engineer

Autonomous AI & Automation Systems

Designing autonomous AI agents, n8n automation pipelines, and intelligent systems that eliminate repetitive manual workflows and bridge physical telemetry with generative AI.

Engineered autonomous AI chatbot agents with persistent memory and webhook triggers using Google Gemini AI and FastAPI.
Architected end-to-end data reporting automation with n8n, Python, and PostgreSQL, eliminating 8+ hours of weekly manual reporting.

Google Gemini AI n8n Python FastAPI TypeScript Node.js Supabase PostgreSQL Tailwind CSS FAISS

2024 Batangas City, Philippines

Engineering Intern – Substation Operations (Power & Development Dept)

JG Summit Olefins Corporation

Industrial power systems and substation operations internship supporting high-voltage petrochemical plant infrastructure.

Conducted Megger insulation resistance testing and transformer diagnostic monitoring across plant substations.
Assisted in high-voltage power distribution telemetry, frequency synchronization, and switchgear reliability logging.

Substation Operations Megger Testing High-Voltage Systems Industrial Telemetry Safety Protocols

02 // Showcase & Deployments

Featured AI & Automation Systems

Production-grade autonomous AI agents, on-device neural voice pipelines, and telemetry-driven physical intelligence.

RAG Knowledge Assistant

Benchmarked 94.2% Recall@5 and 96.8% faithfulness score

PROD VERIFIED

01 // FLAGSHIP ARCHITECTURE Applied GenAI / Vector Retrieval Pipeline

RAG Knowledge Assistant

Problem:

Manual technical documentation searches caused frequent hallucination and ungrounded engineering answers.

Technical Approach:

Engineered a vector retrieval pipeline using Python and FAISS with density-filtered semantic chunking and cross-encoder reranking.

Verified Outcome:

Benchmarked 94.2% Recall@5 and 96.8% faithfulness score at sub-320ms query latency.

FAISS Python Google Gemini AI LangChain Cross-Encoder Vector Search

Source Code

Rush — Executive AI Voice Butler

Rush Voice Butler Raspberry Pi 4 Edge Hardware & Audio Terminal

Delivered 99.9% local uptime with 100% on-device speech privacy and sub-280ms voice l

PROD VERIFIED

02 // FLAGSHIP ARCHITECTURE On-Device Voice AI / Executive Butler

Rush — Executive AI Voice Butler

Problem:

Cloud voice assistants introduce latency bottlenecks, continuous subscription overhead, and sensitive audio privacy exposures.

Technical Approach:

Engineered an on-device edge voice pipeline on Raspberry Pi 4 pairing 16kHz Vosk STT with Piper neural TTS, Telegram, and Spotify Connect.

Verified Outcome:

Delivered 99.9% local uptime with 100% on-device speech privacy and sub-280ms voice latency.

Raspberry Pi 4 Python Vosk STT Piper TTS Spotify Connect Telegram API

Launch Voice Console Source Code

ReybinEye PM

Avigilon 4K H5A-PTZ Camera with Real-Time AI Video Analytics Bounding Boxes

Orchestr

PROD VERIFIED

03 // FLAGSHIP ARCHITECTURE CCTV / AI Systems Integration & Telemetry

ReybinEye PM

Problem:

Mission-critical airport surveillance required unified physical telemetry and sub-second incident triage without cloud dependency.

Technical Approach:

Built a full-stack platform in React and TypeScript simulating RTSP/ONVIF camera telemetry, edge AI incident feeds, and inspection tracking.

Verified Outcome:

Orchestrated 28 airside CCTV nodes with sub-350ms alert triage and zero telemetry dropouts.

Avigilon Unity AI React TypeScript IoT Telemetry AI Analytics RTSP / ONVIF

Live System Demo

TIER 2 // COMPACT SYSTEMS & AUTOMATIONS

Production Automations & Micro-Services

Dense Index // Text-Only Verification

Automated Report Generator

Zero-touch n8n ETL pipeline synthesizing executive AI summaries and saving 8+ hours weekly.

#n8n #Python #Google Gemini AI

AI Chatbot API

Autonomous customer support agent with sub-450ms multi-turn stateful session memory and CRM webhooks.

#Google Gemini AI #FastAPI #Supabase

Water Station Telegram Bot

24/7 conversational ordering bot with sub-15s checkout and bidirectional Supabase dispatch.

#Telegram Bot API #Node.js #Supabase

Active AI/ML Research & Engineering Pipeline

Currently developing autonomous agent orchestration loops and quantitative embedding benchmarking suites. Additional open-source systems in queue.

Explore GitHub

03 // Credentials & Architecture

Verified Licensures & Competencies Matrix

A rigorous synthesis of Philippine professional electronics licensure, airport infrastructure engineering, and production-grade AI/ML proficiencies.

PRC Registered Dec 2025

Registered Electronics Engineer (ECE)

Professional Licensure

Professional Regulation Commission Philippines • Telemetry, radio frequency, embedded systems, and communications infrastructure.

PRC Registered Dec 2025

Registered Electronics Technician (ECT)

Technical Licensure

Professional Regulation Commission Philippines • Hardware troubleshooting, circuit testing, and electronic instrumentation diagnostics.

DataCamp Certified July 2026

AI Engineer for Developers

ID: AIEDA0015580025435

Embeddings, LLM application architecture, prompt orchestration, evaluation frameworks, and retrieval-augmented generation.

PMI Authorized May 2026

PMP® Exam Prep (35 Hours)

ID: MST-PMP-PREP-00429

MSTCONNECT • Predictive, agile, and hybrid project delivery frameworks for multi-phase engineering deployments.

DOLE-OSH March 2026

Safety Officer 2 (COSH + TOT)

ID: TS-COSH-0326-47-3382

Construction Occupational Safety and Health with Training of Trainers certification for airport airside operations.

DICT Region V Dec 2023

ICT Network Infrastructure

ID: 2023-ICWEB509

Internetworking end devices, IP routing, fiber switching, and hardware interface infrastructure.

Categorized Engineering & AI Competencies Matrix

AI Automation & Autonomous Agents

Autonomous AI Agents
n8n Automation Pipelines
Google Gemini AI
FastAPI & REST APIs
Telegram Bot Workflows
Webhook Architecture
Session Memory State
RAG & Vector Retrieval

Generative AI & Vector Search

RAG Architecture
FAISS Vector Indexing
Embeddings & Chunking
Cross-Encoder Reranking
Prompt Orchestration
Recall@k Evaluation
Faithfulness Benchmarking
LLM APIs (Gemini, OpenAI, Claude)

Databases & Full-Stack Systems

Supabase & Auth
PostgreSQL & Vector DBs
Python (Pandas, FastAPI)
TypeScript / JavaScript
Node.js Runtime
Next.js & Astro
Tailwind CSS
Docker & Microservices

Physical Systems & Hardware

Avigilon Unity AI CCTV
RTSP & ONVIF Video Streams
IP Telemetry & Networking
Fiber Optic Backbones
Embedded Systems (ESP32, Arduino)
Substation Megger Diagnostics
Sensor Telemetry & MQTT

Programming & Frameworks

Python
TypeScript / JavaScript
Astro
Tailwind CSS
React
Git & GitHub
RESTful APIs
Vercel / Cloudflare Pages

Engineering Standards & Management

PRC ECE & ECT Regulatory Code
PMP Framework (PMBOK)
DOLE Construction Safety (COSH)
Technical Documentation
Predictive Maintenance Workflows

04 // Technical Publications

Field Notes & Systems Architecture

Deep-dive technical writings exploring real-world edge video analytics, applied AI pipelines, and hardware-software systems integration.

Featured Architecture Deep-Dive

March 2026 • 12 min read

Deploying AI Video Analytics in Mission-Critical Infrastructure: Lessons from Airport CCTV Systems (Avigilon Unity)

An architectural deep-dive into edge vs. cloud compute trade-offs, optical false-positive mitigation (tarmac reflections, jet blast heat shimmer), multi-stream RTSP/ONVIF camera ingestion profiles, and mission-critical Security Operations Center (SOC) and Physical Access Control (PACS) systems integration from NAIA Terminal 3 Apron security operations.

Avigilon Unity AI Edge Computing Computer Vision Airport Security RTSP / ONVIF Physical Systems

Technical Case Study • 8 min read

Read Technical Deep Dive

05 // Direct Inquiries

Initiate Systems Collaboration

Open for AI Automation & Intelligent Systems, Autonomous Agent Architecture, and Systems Integration opportunities in Metro Manila or Remote.

Available • Open to AI Automation & Intelligent Systems Roles

Let's build autonomous AI agents, n8n automation pipelines, and intelligent systems.

Whether you want to eliminate repetitive manual workflows, orchestrate multi-agent n8n pipelines, build Gemini AI conversational tools, or apply engineering rigor to production systems, I welcome direct outreach.

Direct Electronic Mail (RFC 5322):

emmanalcazarjr@gmail.com

Send Direct Message Connect on LinkedIn

Primary Location & Timezone

Metro Manila, Philippines

Philippine Standard Time (UTC+8 / PHT) • Metro Manila base with remote flexibility

Direct Telephony

(+63) 916 607 5313

Direct international format (+63) for voice & messaging

Professional Networks & Live Systems

GitHub • emmanalcazarjr-ops

ReybinEye PM • reybineye.vercel.app