AI Specialist Intern, AI Engineering & Automation Track

Mar 2026 to May 2026 · Singapore · Kaizenaire Pte. Ltd. (Remote)

Architected multi-agent and multi-stage automation workflows for web scraping, research, content classification, data preparation, and validation.
Built internal AI tooling including Notion custom agents (Article Formatter, SGPB Grabber) and screenshot-capture experiments using n8n, Firecrawl, and ScrapingBee for website/Facebook capture and resizing.
Delivered an end-to-end, 3-phase outreach automation in n8n: AI-personalized cold outreach, automated reply classification (YES, INQUIRY, REFERRAL, NO, BOUNCED), ClickUp status routing, HubSpot lead/company creation, and AI-generated follow-up interview questions saved to Google Docs.
Stabilized production automations with webhook fixes, rate-controlled sessions, crash safeguards, and human-in-the-loop Gmail draft review, sending 20+ real outreach emails.
Built and deployed a 5-step job-prospecting pipeline using Bright Data, OpenRouter, Google Sheets, and Gmail drafts, with deduplication, scheduled runs, production monitoring, evidence-gated contact-email enrichment, and MX validation.
Engineered Google Search operator/Boolean query strategies for 129 roles and processed 697 unique direct-to-source job listings after filtering and deduplication.
Built HR automation workflows using TeamLogger, ClickUp, and Google Sheets for check-in verification and idle-time monitoring; fixed critical logic and merge-node failure modes for production rollout.
Used OpenClaw and Hermes Agent setups as agentic AI research and execution environments during the internship, accelerating automation design, tooling research, and implementation; later presented the setup and configuration to executives for potential company-wide adoption.
Built a retrieval-augmented generation (RAG) pipeline using LangChain via n8n, embedding documents into a vector store and retrieving relevant context to ground LLM outputs.
Tech Stack: n8n · LangChain · Bright Data · Firecrawl · ScrapingBee · OpenRouter · LM Studio · HubSpot · ClickUp · TeamLogger · Google Sheets · Airtable · Gmail · WhatsApp · Notion AI Custom Agents · OpenClaw · nanoClaw · Hermes Agent · Claude · Gemini · DeepSeek · Qwen · Mistral

AI Specialist Intern, AI Content Quality & SEO Automation Track

Jan 2026 to Mar 2026 · Singapore · Kaizenaire Pte. Ltd. (Remote)

Generated and published 772 SEO-compliant brand articles to kaizenaire.com using Grok and WordPress, passing premium SEO, readability, and inclusive-language checks; vetted and rejected 293 additional candidates for content, security, and compliance reasons.
Engineered a single-shot Grok/SuperGrok system prompt that outputs a complete brand article plus Yoast SEO metadata in one pass; eliminated sub-header omissions, unwanted tables, over-length meta descriptions, and background-research preambles.
Added a session-isolation protocol to stop Grok memory/context leakage between brand generations.
Built SGP-Clipper, a Chrome extension integrating public business-registry data into production prompts for Grok and Google Sheets, reducing per-company processing time from ~15 minutes to ~7–8 minutes (~40% faster).
Designed pre-research prompt setup that reduced LLM processing time from ~1m40s to ~1m10s; refined a multi-agent model to ~1m8s and reduced the image-resize step 3× from 45s to 15s.
Operated a contact-data enrichment run for 15k+ Singapore-company records, validating extraction and preparing clean imports for the lead database.
Hosted a workshop for company department heads and employees on automation systems developed during the internship period and authored an internal technical implementation guide for lead-database enrichment.
Tech Stack: Grok (SuperGrok) · Claude · Gemini · DeepSeek · Qwen · Mistral · WordPress · Yoast SEO · SGPBusiness · JavaScript · Chrome Extensions

Full-Stack Web Developer

Jan 2023 - Apr 2025 | Freelance · Remote

Built and delivered client web applications end to end, translating client requirements into working full-stack systems
Developed and customized WordPress sites using themes, plugins, and page builders; gained hands-on exposure to Shopify, OpenCart, and Duda for site and store builds
Delivered for international clients under fast-paced, tight-deadline agency-style workflows, optimizing site speed, mobile responsiveness, and code structure for search performance
Tech Stack: WordPress · Shopify · OpenCart · Duda · Next.js · Express.js · PostgreSQL · Tailwind CSS · JavaScript

Lead AI Engineer | Angeles University Foundation

Nov 2025 to Dec 2025 · Angeles, Central Luzon, Philippines · Hybrid · Hackathon Team Leader of a 4-member group

Built a dual Random Forest regression ensemble (scikit-learn) predicting flood probability and depth across the Pampanga region, trained on Google Earth Engine-derived flood-frequency and depth-proxy labels (Global Flood Database) and evaluated with R² and feature-importance analysis
Engineered a 6-feature geospatial dataset (elevation, slope, flow accumulation, road/landslide proximity, population density) sampled over a ~1 km prediction grid via GeoPandas/rasterio, with StandardScaler normalization and an 80/20 train/test split
Serialized the trained models and feature scaler with joblib (.pkl) and exported a GeoPackage risk map for fully offline integration into the Flutter survival-beacon app
Constructed a multi-source data pipeline incorporating the OpenMeteo API for real-time meteorological tracking and feature input
Utilized Google Gemini API to design an intelligent advisory system generating hyper-localized storm preparation checklists informed by the model's flood-risk predictions and live weather telemetry
Tech Stack: scikit-learn (Random Forest) · GeoPandas · rasterio · joblib · Google Earth Engine · OpenMeteo API · Google Gemini API · Flutter

Full-Stack AI Engineer

Jan 2025 to Mar 2026 · Angeles University Foundation

Trained a YOLOv11 stacking ensemble to detect ACL and meniscus tears from MRI coronal plane data (fastMRI and fastMRI+ datasets).
Achieved 75.17% mAP, 88% FROC, and 73.50% F1-score for bounding-box prediction accuracy; containerized the model and Next.js web application using Docker and AppWrite.
Presented research at AUF's MAGNUS 2026 and IRCITE 2026.
Collaborated with AUF CAMP’s faculty on model validation, systems testing, and usability evaluation.
Tech Stack: YOLOv11 · PyTorch · Next.js · Docker · AppWrite · fastMRI / fastMRI+

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