Ricardo Garcia - Python and C# Developer & ML Enthusiast

Projects

RESTful API for Stock Portfolio Management and Tax Calculation

Python
Django Rest Framework
PostgreSQL
Pytest
Poetry
AWS
Terraform
Docker

Built a Django-powered REST API to simplify stock portfolio tracking and tax compliance.
Automated FIFO-based profit calculations and currency conversions to GBP for UK tax rules.
Leveraged PostgreSQL for secure data storage.
Established comprehensive unit tests using pytest to ensure reliability.
Implemented CI/CD pipelines to AWS with GitHub Actions, Docker and Terraform to streamline delivery.

Stock Market Prediction using PyTorch and Backtesting

Python
PyTorch
Pandas
Matplotlib
Jupyter Notebook
Pytest
Poetry

Developed a PyTorch neural network to predict stock price movements using historical data.
Implemented data preprocessing techniques to clean and prepare stock data for training.
Integrated a backtesting library to simulate the model's performance on historical data.
Evaluated various trading strategies using backtesting library.
Documented results in Jupyter Notebooks and stored resulting model in models folder.

User Activity Monitoring API with Flask

Python
Flask
SQLAlchemy
PostgreSQL
Alembic
Pytest
Poetry

Implemented a Flask API endpoint /event to process user actions (deposits/withdrawals).
Designed and integrated a rule-based alert system, triggering alerts for specific behaviors (e.g., large withdrawals, consecutive actions), enhancing security and fraud detection capabilities.
Developed user-specific alert thresholds based on user risk profiles (low, medium, high).
Implemented data persistence using SQLAlchemy with SQLite/PostgreSQL, ensuring reliable storage and retrieval of user action data.
Utilized Alembic for database migrations, tracking and managing schema changes, ensuring database consistency and facilitating rollbacks.
Employed the repository pattern to encapsulate data access, improving code maintainability and testability.

Automated Stock Data Pipeline with Serverless AWS Lambda

Python
Request
Boto3/AWS client
Serverless
Localstack
NodeJS
Docker
Docker Compose

Built an AWS Lambda pipeline that automatically downloads stock data following a cron-based schedule, reducing manual effort by 100% and running costs.
Streamlined local development with Docker and Localstack, enabling local testing without incurring cloud costs.
Optimized data storage by structuring it in AWS S3 buckets.
Engineered the project to be easily deployable with the Serverless Framework.

Job Boards Scraper

Python
FastAPI
Pydantic
Uvicorn
Selenium
Pytest
Poetry

Engineered a web scraping solution using Python and Selenium that automatically extracts detailed job postings from JobServe, reducing manual job search time.
Implemented a clean architecture pattern with dependency injection, abstract base classes, and repository pattern demonstrating strong software design principles.
Built a FastAPI service with Swagger documentation, providing access to stored data through RESTful endpoints.
Developed a robust data pipeline using SQLAlchemy and SQLite, ensuring reliable storage and retrieval of job market information.

About Me

I’m an experienced software engineer with over 15 years of designing and building reliable, scalable systems across a variety of languages and frameworks, contributing to the success of multiple companies.

What began a few years ago as a personal passion for Python has evolved into a professional focus. After years of exploring and applying Python in personal projects and professional tasks, I’ve spent the past year fully immersing myself in the Python ecosystem, sharpening my skills with its libraries and frameworks.

I’m an honest, hardworking individual who thrives in collaborative environments. I enjoy solving complex problems and finding the best solutions for projects, teams, and businesses. I’m excited to bring my expertise, enthusiasm, and commitment to a dynamic company where I can collaborate on innovative solutions.

Technical Skills

Python Ecosystem:Django, Flask, FastAPI, SQLAlchemy, PyTorch, Pandas, Pytest, Poetry, Pipenv, Pylint
Programming Languages:Python, C#/.NET Core, SQL, TypeScript
Cloud & Data:AWS(Lambda, DynamoDB, RDS, SQS, SNS, S3), Elasticsearch
DevOps & Tools:Docker, Terraform, Git, CircleCI, Serverless Framework, LocalStack, WireMock
Monitoring:Grafana, Splunk, Logz.io

These projects showcase my ongoing development and exploration of new technologies. If you have questions about how the code works, how different pieces connect, suggestions, ideas, or criticisms, feel free to create an issue or open a pull request on the specific repository. I always welcome constructive feedback and am interested in ways to improve and learn together!