Summary
Overview
Work History
Education
Skills
AI Engineering Projects
Certification
References
Timeline
Generic

Ricci Doddz Juaman

Brisbane,Australia

Summary

Engineer of AI systems specializing in intelligent information retrieval. Currently developing production-ready RAG applications utilizing custom vector databases, with a focus on hybrid search systems that integrate semantic understanding and lexical precision. Recent achievements include a custom vector database using FAISS and a hybrid search engine that merges BGE-Large embeddings with BM25 for an Azure-deployed RAG system in the education sector. Background in data analytics exceeding five years supports expertise in ML evaluation and statistical testing, effectively translating business challenges into technical solutions.

Overview

9
9
years of professional experience
1
1
Certification

Work History

Data Analyst

Apollo Movement
, Philippines
07.2021 - Current
  • As a Data Analyst, I collect data and analyze them to guide decisions such as how to improve talks, how to present them better, and how can we reach out to more participants.
  • Apollo Movement is a non-profit organization that aims for mental health awareness.

Pricing Strategy Manager

Shiply
, United Kingdom
03.2024 - 08.2025
  • Data Analyst with a focus on creating and executing effective price testing strategies and generating actionable insights at Shiply.
  • Collaborated closely with product managers and developers to execute a series of price tests, optimizing pricing structures and enhancing revenue streams.
  • Leveraged advanced analytical techniques to assess price test results, providing detailed insights and reports to management.
  • Applied statistical analysis to identify trends and patterns, enabling data-driven decision-making.
  • Additionally, fulfilled various ad-hoc data and analytics duties, demonstrating versatility and adaptability in a fast-paced logistics environment.
  • Shiply, a leading logistics platform.
  • Key Responsibilities:
  • - Developing and executing price testing strategies
  • - Collaborating with product managers and developers on price test execution
  • - Analyzing price test results to generate actionable insights
  • - Delivering comprehensive reports and recommendations to management
  • - Performing various ad-hoc data and analytics tasks as required

Data Analyst

Acrewell
Koronadal, Philippines
07.2022 - 11.2023
  • In my role at Acrewell, I served as a Data Analyst. My responsibilities involved evaluating and pricing properties, predominantly in North Carolina.
  • I applied various criteria such as accessibility, topography, utilities (electricity and water), soil type, and more to determine accurate property prices.
  • Additionally, I conducted Comparative Analysis for specific regions to enhance pricing precision.
  • Moreover, I created comprehensive reports and dashboards utilizing Salesforce.
  • Proficient in extracting tables from diverse data sources, I facilitated seamless integration of information for a more streamlined analytical process.
  • Additionally, I initiated proactive engagement with County offices and various utility providers to conduct in-depth analyses of properties.
  • My objective was to identify and evaluate any potential red flags associated with the properties, demonstrating a commitment to thorough due diligence and risk assessment.
  • Acrewell, a land acquisition company specializing in vacant land transactions.

Data Analyst

Radarr, a Genesys company
Singapore
03.2022 - 06.2022
  • Dynamic and results-oriented Data Analyst with a proven track record in performing essential tasks for Radarr.
  • Proficient in all stages of the data lifecycle, including Extract, Transform, and Load (ETL), data cleaning, transformation, and analysis, as well as data visualization techniques.
  • Utilize advanced analytical tools and techniques to uncover meaningful patterns and trends, enabling clients to make informed decisions.
  • Collaborate closely with cross-functional teams to identify business requirements and translate them into actionable insights.
  • Possess a strong foundation in programming languages and statistical methodologies.
  • Excel in fast-paced environments, consistently delivering high-quality work to meet project deadlines.
  • Radarr, a leading social listening company specializing in providing actionable insights for commercial entities.
  • Ready to leverage expertise in data analytics to drive organizational success and contribute to cutting-edge projects in software programming or data science.

Corporate Trainer

Concentrix Limited Company
Makati, Philippines
07.2016 - 08.2018
  • - Trained newly hired staff, and those requiring upskilling
  • - Provided motivation and support
  • - Taught staff how to strive in a target-oriented environment
  • - Gave coaching and one-on-one feedback sessions with staff
  • - Liaised with internal departments and other supervisors
  • - General administration
  • - Assessed Quality of services

Education

Google Professional Data Analytics -

Coursera
03.2022

Bachelor of Arts - BA - Philosophy

Notre Dame of Marbel University
Korondal City, PH
03.2012

Skills

  • AI/ML Engineering: RAG Systems, Vector Databases (FAISS), LLM Integration, Embeddings (BGE-Large, E5), Hybrid Search, Prompt Engineering, Model Evaluation
  • Backend & Data: Python, FastAPI, PostgreSQL, SQL Optimization, RESTful APIs, ETL Pipelines, Statistical Modeling, A/B Testing
  • Frontend: React, JavaScript, HTML/CSS, Responsive Design
  • Cloud & DevOps: Azure (AI Search, OpenAI, Blob Storage, Document Intelligence), CI/CD, GitHub Actions, Docker, Git
  • Analytics: 5 years data analytics, pricing optimization, business intelligence, data visualization

AI Engineering Projects

Custom Full-Stack RAG System | GitHub: github.com/RicciJuaman/custom-rag-faiss
Python • React • FAISS • PostgreSQL • FastAPI • Azure • CI/CD

- Built production RAG application with custom FAISS vector database implementing hybrid semantic-lexical search
- Engineered full-stack solution: React frontend with real-time search, FastAPI backend, PostgreSQL metadata layer
- Implemented hybrid retrieval combining BGE-Large embeddings with BM25 scoring for improved accuracy on both
 conceptual and exact-match queries
- Developed CI/CD pipeline with automated testing and deployment to Azure infrastructure
- Achieved cost optimization: ~$0/month vs $500+ for managed vector database alternatives

Enterprise Azure RAG System | GitHub: github.com/RicciJuaman/azure-enterprise-rag
Azure AI Search • Azure OpenAI • Document Intelligence • Python

- Architected production-grade RAG system for Queensland Education Department using Azure enterprise AI stack
- Configured document intelligence pipeline with automated cracking, chunking (512 tokens, 128 overlap), and
 embedding generation through Azure AI Search skillsets
- Integrated Azure OpenAI for response generation with citation tracking and auditability
- Built for government sector with compliance-aware architecture and data sovereignty requirements
- System handles 1,320+ document chunks with hybrid ranking (vector + keyword + semantic)

Certification

  • Analyze Data to Answer Questions
  • Programming with Javascript
  • Ask Questions to Make Data-Driven Decisions
  • Prepare Data for Exploration
  • Meta Version Control

References

References available upon request.

Timeline

Pricing Strategy Manager

Shiply
03.2024 - 08.2025

Data Analyst

Acrewell
07.2022 - 11.2023

Data Analyst

Radarr, a Genesys company
03.2022 - 06.2022

Data Analyst

Apollo Movement
07.2021 - Current

Corporate Trainer

Concentrix Limited Company
07.2016 - 08.2018

Google Professional Data Analytics -

Coursera

Bachelor of Arts - BA - Philosophy

Notre Dame of Marbel University
Ricci Doddz Juaman