Rafael Gomez

Rafael Gomez

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ABOUT ME
Full-stack JavaScript developer
Full-stack JavaScript developer

As a Full Stack Engineer with over six years of experience under my belt, I focus on turning complex problems into clear, effective solutions. I have worked across multiple projects where I led front-end architecture at Tecla and guided migrations for B2B products at lapzo. Each role strengthened my expertise in JavaScript, TypeScript, React, and PostgreSQL, while working closely with product and design teams to build smooth, user-focused experiences.

One of my key achievements at lapzo was leading the migration of the main product to a scalable architecture that now supports over 50,000 concurrent users. This effort pushed my technical skills forward and reinforced the value of strong cross-team collaboration to deliver software that meets real user needs. Beyond coding, I invest in continuous learning. I pursued a Master’s in Data Science and earned an AI Microdegree from Fusemachines. I also contribute through writing, including authoring a paper on AI applications, which helps me stay current with evolving technology.

My skills include JavaScript, TypeScript, React, Next.js, Nest.js, Node.js, Python, FastAPI, PostgreSQL, SQL Server, Docker, Google Cloud Platform, Microservices, LangChain, and LangGraph.

If you want to collaborate or discuss opportunities, you can reach me at satrgomez7@gmail.com
or DM me.

Spanish, English
Eastern Time (US & Canada) (-05:00)
Joined June 2022
EXPERTISE
5 years experience
5 years experience
4 years experience
5 years experience
4 years experience
4 years experience
3 years experience

REVIEWS FROM CLIENTS

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SOCIAL PRESENCE
GitHub
Advanced_Data_Cleaning_with_R
We show a method to quickly analyze all the column vectors in a dataset to be able to discern inconsistencies that need to be cleaned. Naturally, this extends the normal NA and facilitates determining other missing values imputed differently, for example: '-999','xxx','?', etc.
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Food-101---Transfer-Learning-and-TensorFlow
We used Transfer Learning with the goal of achieving 75% accuracy on the Food 101 dataset. Applied Intermediate and Advanced TensorFlow concepts.
Jupyter Notebook
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EMPLOYMENTS
Senior Full Stack Engineer
lapzo
2023-04-01-Present
  • Contributed to the migration of the company's main product
  • Migrated Zoom API service using Microservices architectu...
  • Contributed to the migration of the company's main product
  • Migrated Zoom API service using Microservices architecture using Nest.js, TypeScript and Knex reducing latency by 54%
  • Developed AI-powered solutions that used Generative AI to generate courses based on user input, using FastAPI and LangChain
  • Implemented development cycle procedures that increased team's efficiency and transparency

Tech Stack: Tech-Stack: Nest.js, TypeScript, JavaScript, React.js, Node.js, Stripe API, GraphQL with Apollo, Google Cloud Functions, Google App Engine, Knex

TypeScript
React
JavaScript
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TypeScript
React
JavaScript
Knex.js
NestJS
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Full Stack Engineer - JavaScript | React.js | Node.js | SQL Server | TypeScript
TurnKey Lender
2022-07-01-2023-01-01

● Structured an indexed-database design for customers that resulted in 40% faster queries for a loan management system

● Spearh...

● Structured an indexed-database design for customers that resulted in 40% faster queries for a loan management system

● Spearheaded functionality isolation and component communication that decreased load time up to 44%

● Guided the creation of User Management module and Loan Management module with a lowered project time of 27%

Tech Stack: Tech-Stack: TypeScript, JavaScript, Next.js, React.js, Node.js, GraphQL with Apollo, MongoDB, HTML, CSS

Node.js
MongoDB
TypeScript
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Node.js
MongoDB
TypeScript
React
GraphQL
Next.js
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Full Stack Engineer
Okkralabs
2021-06-01-2022-07-01

● Led the development of both new and existing front-end views, notably a Wallet Management App, enhancing user experience for a Block...

● Led the development of both new and existing front-end views, notably a Wallet Management App, enhancing user experience for a Blockchain Infrastructure company

● Achieved a 100% bug clearance rate with 80% code coverage in API development and maintenance, improving system reliability and efficiency

● Orchestrated the improvement of front-end views by leveraging TypeScript/React, enhancing user interface and experience; decreased page load time by 50% and boosted conversion rate by 15%

Tech Stack: TypeScript, JavaScript, Next.js, React.js, Node.js, GraphQL with Apollo, MongoDB, HTML, CSS

Node.js
TypeScript
React
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Node.js
TypeScript
React
Next.js
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