Rodrigo Machin

A mobile application for trading with AI.
I was a back-end architect for trading microservices. I migrated Ruby on Rails components to a distributed architecture using Spring Boot and Kubernetes. I designed and developed REST services that generated trade lines every time the market opened.

I improved performance and accelerated the batching process. I also defined common components and deployment descriptors to improve the DB schema and storage process. I also created a scalable data platform to manage a complex ecosystem to promote trust and simplify automation.

A mobile application with a prepaid card to manage recurring payments. I was the software engineer in charge of implementing the whole back-end solution from scratch. I designed and implemented a B2B API used by the front-end app. I integrated the solution with several external providers. I also
provided support in deploying and configuring the infrastructure in AWS. I deployed and maintained the production environment.

A website for subscribing to online tournaments of a game. I was the back-end developer in charge of improving their CI/CD pipeline and reducing their AWS account budget. I also had to integrate and redesign the payment flow. A new payment provider was integrated. I developed new features that required me to deal with their external providers and APIs.

A startup market-building algorithm company that has its own product that runs full-time with market information. I was the back-end developer responsible for API integrations. I also debugged and deployed an algorithmic trading tool that works on different crypto exchanges.

An online electronic document flow. I was a back-end developer for the Excel/PDF viewer. I improved Excel file upload performance, reduced in-memory metadata, and reduced internal structures for displaying documents in the native viewer. I designed and implemented how drawing operations can be applied to a PDF file based on tasks and saves. I reduced PDF document processing time and fallback mode calls. I improved development time through better handling of e2e and integration tests; coherence, consistency, and avoiding duplicates were key.

An Angular-Java merchant portal for configuring and monitoring transactions.

I was the back-end developer in charge of maintaining and delivering new functionalities; developing new Angular components and their corresponding Java microservices were most of my activities.

I was the technical lead in charge of migrating the entire payment platform between AWS accounts. Most of the activities included defining the AWS architecture, automating the creation of resources, and executing it. I also created CI/CD pipelines and set up and maintained development tools like Jenkins, Nexus, Artifactory, and Docker Registry.

A transactions' global gateway for Latam.

I was the technical lead of the project in charge of setting up the integration with the external tools from the beginning. Creating a common framework, project archetypes, and designing components were the most critical activities after defining the technologies we would use. I've also defined quality standards and automated CI/CD activities.

As a senior cloud trading algorithm deployment engineer, I developed and maintained a sophisticated forex and stock options monitoring system. I deployed cutting-edge trading algorithms on AWS, ensuring continuous operation. Specializing in IG and IBKR integrations, I optimized cloud infrastructure for high-frequency trading, focusing on performance and reliability. My responsibilities included proactive monitoring, issue resolution, and security implementation. Regular updates kept the system current, while thorough documentation ensured transparency and accountability in algorithmic trading.

A WhatsApp, Twillio, Discord API, and Slack chatbot to help automate repetitive processes or manage eCommerce orders.

As the project's technology lead and CTO, I developed, implemented, and maintained the entire solution using Django, Flask, OpenAI, LangChain, AWS, and WhatsApp API. I was in charge of creating the infrastructure in AWS, deploying the solution, and maintaining it.

I was also tasked with developing an indexing and embedding engine using a Chroma database, vector databases, Amazon Kendra, and Unstructured. I was responsible for enriching the vocabulary and context of the prompts with documents uploaded to Amazon S3 and generating embeddings on demand.

A comprehensive application for managing payments, Wise to Payoneer or Deel, facilitating companies to pay their contractors. Contractors will have wallets to receive funds and transfer money between user wallets or their bank accounts. Initially, the project involved creating wallets for users and enabling fund transfers to other users and bank accounts. The application will also feature a dashboard for clients to analyze their accounts.

As the project's technology lead and senior developer, I spearheaded the development, implementation, and maintenance of the MVP. Utilizing my expertise in full-stack development, I selected and configured the best technology stack, emphasizing robust and scalable architecture. I oversaw the entire development lifecycle, ensuring the application was built to market standards within a tight 3-month deadline.

As the project's technology lead and machine learning specialist, I played a crucial role in merging the client's project with OpenAI APIs. Focusing on refining their MVP, I upgraded the extension with advanced PDF and CSV extraction and interaction features. Leveraging OCR, I extracted text from PDF images, enabling seamless interaction with large language models (LLMs). Implementing robust back-end solutions, including cloud storage, ensures efficient data management. The integration of a search engine facilitated precise document retrieval for LLM interactions, culminating in an agent for sales and customer assistance based on research and collaboration.