§ 00 · Intro
2026 · Manila, PH · Remote worldwide
Sandy Lauguico
All-around tech generalist. I ship data, AI, and analytics solutions: pipelines, APIs, agents, dashboards, and the systems that connect them, built to hold up past the demo.
Electronics Engineer by training, IEEE-published in computer vision and robotics. I also write on Medium, guest in YouTube tutorial channels, and keep a free set of Notion roadmaps for people navigating their way into data careers.
Experience
8+ yrs · academia & industry
Background
Licensed Electronics Engineer
Published
Writing
§ 01
Toolchain
Tools I've built with (not a wishlist 😉).
Stack.
Data Engineering
08 tools
-
Python -
Spark -
Airflow -
dbt -
Postgres -
MySQL -
Databricks
-
GCP
Data Science
10 tools
- Python
-
-
NumPy -
Pandas -
Matplotlib -
Seaborn -
scikit-learn -
Hugging Face -
TensorFlow -
PyTorch
AI Engineering
09 tools
- Python
- LangGraph
-
LangChain
- LangSmith
-
Pydantic
-
Docker -
FastAPI
-
Postman
-
GitLab
MLOps
06 tools
-
MLflow -
Git - Docker
-
AWS -
DVC -
Hopsworks
fig. 02
15 selected projects, by discipline. One mark per project.
Data Engineering
04
Data Science
03
Machine Learning
05
AI Engineering
03
n = 15
max = 5
§ 02
Data Engineering
Pipelines, warehouses, and the boring bits done right.
Selected projects.
§ 02.5
Data Science & Analytics
Modeling, measuring, making sense of it.
Selected projects.
§ 03
Machine Learning
Vision, models, and research that shipped.
Selected projects.
CV-Based Lettuce Growth Classification
TensorFlow · Image Segmentation · Classification
Machine Learning
Adaptive Management System for Aquaponics
Control Systems · Machine Vision · Deep Learning
Machine Learning
Inverse Kinematics for Crop-Harvesting Robotic Arm
Inverse Kinematics · MATLAB · Universal Robots
Machine Learning
§ 04
AI Engineering
Agents, and the systems around them.
Selected projects.
§ 05
About
Engineer first, business translator always.
Background.
Licensed Electronics Engineer who wandered into Data & AI, and stayed. 8+ years across academia, R&D, and industry. Most recently leading data engineering and data science teams before going independent in late 2023.
Contract work has spanned AI & ML engineering for AU software consulting, data engineering for a UK Airbnb revenue firm, and marketing analytics for US clients across airline, eCommerce, on-demand delivery, and investment management. Across the stack: production data engineering (dbt, Airflow, Snowflake, Databricks, DuckDB), applied AI (agents, RAG, evaluation, LangChain / LangGraph), and research in computer vision and robotics (IEEE-published).
I care about systems that survive contact with real data, real users, and real deadlines. Explainable on a napkin, debuggable at 2 a.m.
Outside client work, I write on Medium, guest in YouTube tutorial channels about data careers, and publish free Notion roadmaps for people trying to find their way in, because the path I took was poorly documented, and I'd like that to be less true for everyone else.
Timeline
- NOW Freelance Data & AI/ML Engineer, Manila.
- CLIENTS AU, UK, US, CA firms across software, real estate, marketing, eCom.
- LED DE & DS teams at a PH tech firm (2022–2023).
- PAST AI researcher & DLSU lecturer; IEEE-published in computer vision & robotics.
- NEXT Help you scale your business with data & AI solutions.
Free resources
§ 06
Contact
Let's build something real.
Inbox is open.
If you've got manual processes you want automated or hard data or AI problems, send it over. I reply within a couple of days, usually sooner.