Résumé / Data & AI Engineering

Samuel Uy

I have more than three years of experience building AI search and data platforms at Exist Software Labs. My search system handles more than 1,000 queries a day and reached 84% accuracy across 49 QA tests. I also lead AI training for teams at Exist.

uy.samuel.a@gmail.comMetro Manila, Philippinessamueluy.com

Professional experience

Exist Software Labs, Inc.

Data Engineer

AI Systems & Enablement

  • Lead AI training at Exist and help teams use generative AI in delivery work.
  • Built a production RAG pipeline handling more than 1,000 queries daily with LangGraph, AWS Bedrock, and PostgreSQL pgvector.
  • Combined BM25 keyword search with vector similarity for hybrid retrieval.
  • Built workflows for intent classification, query analysis, HyDE expansion, and semantic ranking.
  • Reached 84% accuracy across 49 QA test cases through evaluation and prompt iteration.

Data Engineering & Analytics

  • Automated daily regulatory and compliance reporting, cutting manual processing from 4 hours to 15 minutes.
  • Consolidated agency and bancassurance data, processing more than 500,000 transactions daily.
  • Optimized SQL models and Power BI datasets, cutting report load time from 5 minutes to 19 seconds.
  • Refactored preprocessing with Dask, cutting runtime by 90%.

Independent projects & recognition

Snowball

I designed and launched a one-task-at-a-time app that reached #1 in the Philippines App Store’s Paid Productivity category.

#1 Paid Productivity in the Philippines App Store

Mayi

We developed and launched a travel app that reached #1 in the Philippines App Store’s Paid Travel category.

#1 Paid Travel in the Philippines App Store

Asenso

I designed, branded, and built a financial simulation game that reached the top 5 in the Philippines App Store’s Paid Games category.

Top 5 Paid Games in the Philippines App Store

eGovPH Hackathon 2026

My team placed in the Top 30 out of more than 250 teams at the national eGovPH Hackathon 2026.

Education

De La Salle University, Manila

BS Computer Science, Major in Software Technology · Honorable Mention

  • AVP for Publicity & Creatives, La Salle Computer Society, 2022–2023.
  • AVP for Training & Development, 2021–2022.
  • Undergraduate thesis on mobile sensor-based interaction detection using classical ML models.

Skills

AI systems: RAG, LangGraph, AWS Bedrock, pgvector, hybrid retrieval, prompt evaluation, agent workflows

Cloud & data: Azure, Microsoft Fabric, Databricks, Airflow, Snowflake, Power BI

Programming & databases: Python, SQL, PostgreSQL, SQL Server

Tools: Git, Docker, Linux CLI

Certifications

  1. 01Microsoft Certified: Azure Data Engineer Associate (DP-203), February 2024
  2. 02Microsoft Certified: Fabric Data Engineer Associate (DP-700), 2025
  3. 03Apache Airflow 3 Fundamentals, Astronomer, 2025
  4. 04Informatica Cloud Data Integration Developer R41, September 2023
  5. 05Boomi Associate Integration Developer, October 2023