Full-Stack Web Developer | Software, Data, AI & Machine Learning Engineer | LLMs

As a Full-Stack Developer, I have a proven history of building comprehensive web applications from concept to deployment. At Write Doc, I engineered a full-stack AI application using TypeScript and Python, which automated complex medical workflows and saved clinicians over 160 hours per month. My work involved developing user-centric frontend features that increased system usability by 30% while simultaneously building a robust backend with containerized microservices using Docker and managing a secure PostgreSQL database. I have also provided tailored web solutions for clients, such as developing websites and automating processes with Python and FastAPI at Morelos & Co., demonstrating my ability to handle both the client-facing interface and the server-side logic that powers it.

In my role as a Data Engineer, I architect and manage large-scale data infrastructure to drive business intelligence and efficiency. At Procter & Gamble, I led the successful migration of an end-to-end data infrastructure to Azure Databricks. Using SQL and PySpark, I engineered robust ETL pipelines that consolidated fragmented data into a unified gold-layer model. This initiative was transformative, reducing dashboard latency by 50% and generating over $20M in annual cost savings by eliminating regional workspace costs. I also standardized product hierarchies and schemas, which eliminated manual Excel workflows and improved data reliability, saving the company over 36 hours of manual work per year and empowering teams with reliable, accessible data.

As a Full-Stack Developer, I have a proven history of building comprehensive web applications from concept to deployment. At Write Doc, I engineered a full-stack AI application using TypeScript and Python, which automated complex medical workflows and saved clinicians over 160 hours per month. My work involved developing user-centric frontend features that increased system usability by 30% while simultaneously building a robust backend with containerized microservices using Docker and managing a secure PostgreSQL database. I have also provided tailored web solutions for clients, such as developing websites and automating processes with Python and FastAPI at Morelos & Co., demonstrating my ability to handle both the client-facing interface and the server-side logic that powers it.

I have utilized Python extensively across software engineering, data science, and AI development. My expertise is demonstrated in building full-stack AI applications, automating workflows with FastAPI, and designing complex machine learning models with libraries like TensorFlow, Keras, and Scikit-Learn. Whether it's for engineering backend services, creating ETL pipelines in PySpark, or developing predictive models, Python is my primary tool for creating efficient, scalable, and powerful solutions.

My proficiency in SQL was central to my role as a Data Engineer, where I architected and optimized large-scale data solutions. I used SQL and PySpark within Azure Databricks to migrate entire data infrastructures, engineer complex ETL pipelines, and transform fragmented data into a unified gold-layer model. This work directly resulted in reducing dashboard latency by 50% and enabling more reliable, data-driven decision-making across the organization.

I have extensive experience designing, building, and deploying robust REST APIs to power applications and automate workflows. I engineered a scalable backend using Ruby on Rails to handle high-volume API calls for an AI platform and developed APIs with Python and FastAPI to automate business processes, saving clients over 20 hours per month. My approach focuses on creating well-documented, secure, and efficient endpoints that ensure seamless data communication between the frontend and backend.

With a strong foundation in PostgreSQL, including implementing row-level security (RLS) and managing database migrations with Alembic, I am highly adept at leveraging modern Backend-as-a-Service (BaaS) platforms like Supabase. My experience in database management and security protocols allows me to quickly build and deploy secure, scalable backends using Supabase, taking full advantage of its instant APIs, and real-time capabilities to accelerate application development.

My expertise in JavaScript is foundational to my work as a web developer. I have applied this skill to build dynamic and interactive user interfaces using modern frameworks like React and Vue.js. Furthermore, I have extensive experience with its superset, TypeScript, which I used to build the entire front-end of a complex AI application. This demonstrates my ability to write clean, maintainable, and scalable client-side code for a wide range of web applications.

As a skilled web developer, I am proficient in building dynamic, responsive, and user-centric front-end applications using modern JavaScript libraries like React. My experience in developing features that increased system usability by 30?monstrates my ability to translate user needs into intuitive interfaces. I leverage frameworks like React to create seamless single-page applications, manage application state effectively, and build reusable components for scalable and maintainable code.

I possess a strong command of Git for version control, enabling effective and organized software development, especially in team settings. I am experienced in utilizing core Git workflows, including creating and managing branches, merging code, resolving conflicts, and maintaining a clean and understandable commit history. This ensures that all projects are well-documented and allows for seamless collaboration and iterative development.

I have hands-on experience using Docker to containerize applications, creating lightweight, portable, and consistent environments across all stages of the development lifecycle. At Write Doc, I leveraged Docker to containerize backend microservices, which streamlined the development process, simplified deployments, and eliminated environment-related inconsistencies between development, testing, and production systems, ensuring greater reliability and faster iterations.

I have comprehensive experience in database management across both SQL and NoSQL systems, including PostgreSQL and MongoDB. My skills range from designing and implementing unified database schemas to managing complex data transformations and ensuring data integrity. I have implemented Alembic for database migrations to manage schema evolution and configured row-level security (RLS) in PostgreSQL to protect sensitive patient data, ensuring robust, secure, and scalable data storage.

I use GitHub as a central hub for version control, collaboration, and project management in all of my software development projects. I am proficient in using Git-based workflows, including branching, pull requests, and code reviews, to maintain a clean and collaborative development process. My GitHub profile serves as a portfolio of my work, showcasing my ability to write clean code and contribute effectively within a team environment.