Available for opportunities · Ottawa, CA

Eduardo Soares

Analytical AI professional with a multidisciplinary background in Computer Science and Law, specializing in RAG, LLM, and semantic search solutions. Fluent in English and Portuguese.

01.

about_me

I'm an AI Developer and Data Analyst combining deep technical expertise with a unique legal background — giving me a rare ability to navigate complex, data-driven problems with precision and strategic thinking.

My work focuses on retrieval-augmented generation (RAG), LLM pipelines, and semantic search using Python, R, and SQL. I've worked across software QA, database development, and machine learning in fast-paced environments across Brazil and Canada.

I thrive at the intersection of cutting-edge AI tooling and real-world applicability — building systems that are not just intelligent, but practical and impactful.

English — Professional proficiency
Portuguese — Native
French — Basic
Eduardo Soares

// contact.info

📍 Ottawa, Canada
📞 613-252-6025
02.

technical_skills

🧠 // AI & Machine Learning
TensorFlow PyTorch Scikit-learn OpenCV
🔍 // LLM & Retrieval
LangChain LangGraph FAISS ChromaDB
📊 // Data Engineering
Pandas Polars NumPy Seaborn Matplotlib
💻 // Programming
Python C R SQL
🗄️ // Databases
MySQL MongoDB Amazon RDS
☁️ // Cloud & DevOps
AWS S3 AWS EC2 Docker Linux Azure DevOps
🧪 // Testing & Tools
Selenium JIRA Power BI Scrum
🏅 AWS Certified Cloud Practitioner 🏅 Scrum Fundamentals Certified 🏅 AWS ML Engineer – Associate
03.

professional_experience

AI and Machine Learning Analyst Intern Jan 2026 – Present
Lambton College · Ottawa, Canada

Analyze and interpret data sets with preprocessing pipelines; build data-driven insights using AI/ML techniques; leverage AI models to extract information from datasets; create and present stakeholder recommendation reports.

Software QA Analyst Sep 2022 – May 2023
DB1 Global Software · Remote, Brazil

Designed and executed front-end and back-end tests for a web application connected to REST APIs and SQL databases. Reported results and supported analysis within the Microsoft Azure environment using data visualization tools.

Software QA Technician Apr 2022 – Sep 2022
SIDIA – Samsung Institute · Manaus, Brazil

Managed high-volume usability and acceptance testing for 122+ mobile devices daily, coordinating with international carriers and presenting results in weekly global meetings. Led a regional team updating Latin American user manuals.

Jr. Software QA Technician Nov 2020 – Apr 2022
SIDIA – Samsung Institute · Manaus, Brazil

Managed usability and acceptance testing for smart devices in collaboration with major carriers (Vivo, TIM, Claro). Streamlined technical documentation, analyzing and refining up to 13 mobile user manuals per week during peak periods.

IT Support Intern Nov 2019 – Oct 2020
TRT-11a Region (Government Agency) · Manaus, Brazil

Provided technical support diagnosing and resolving hardware, software, and network issues — resolving up to 17 tickets per day. Assisted with system maintenance, user account management, and troubleshooting.

Jr. Database & Web Developer Jan 2019 – Jun 2019
"Transformando Vidas" Institute · Manaus, Brazil

Designed a SQL database to store records for ~200 low-income families. Developed a login-enabled interface using HTML, CSS, and JavaScript to securely register and manage beneficiary information.

Legal Aid Support May 2013 – May 2014
Universidade Federal do Amazonas · Manaus, Brazil

Provided legal representation support to low-income and marginalized populations unable to afford legal counsel, covering civil and criminal cases.

04.

education

Post-Graduate Diploma
AI & Machine Learning
🍁 Lambton College — Ottawa, Canada
Expected June 2026
Post-Graduate Diploma
Artificial Intelligence
🇧🇷 PUC Minas — Manaus, Brazil
May 2023
Bachelor of
Computer Science
🇧🇷 Centro Universitário do Norte — Manaus, Brazil
July 2021
Bachelor of Law
🇧🇷 Universidade Federal do Amazonas — Manaus, Brazil
June 2017
05.

projects

🍽️
FoodieAI
Lambton College · Ottawa — Sep 2025 – Dec 2025

Developed a retrieval-augmented search algorithm converting recipe CSV data into FAISS vector indexes using Sentence-Transformers embeddings, with preprocessing and chunking in pandas for semantic search with dietary and recipe filters. Implemented metadata alignment and reproducible manifests for model tracking.

⚡ 70% reduction in query latency
Python FAISS Sentence-Transformers Pandas RAG
❤️
Heart Failure Prediction
PUC-Minas · Brazil — Jul 2022 – Dec 2022

Applied AI classification algorithms — Logistic Regression and Neural Network — to predict heart failure using a clinical dataset with 12 features and 918 observations. Focused on model interpretability and performance benchmarking across both approaches.

Python Scikit-learn Neural Networks Logistic Regression