Ed Fernandez

Engineered an end-to-end migration from legacy data sources in Google Sheets to a modern web platform built with TypeScript, Next.js and PostgreSQL for a finance management application, implementing transaction histories, dynamic reporting, multi-currency support, and budgeting tools to enhance financial insights. Led a 2-person team to design and deploy an AI-driven legal application using Next.js, FastAPI and PineCone DB, establishing a unified monorepo architecture, automating network request code generation which allowed meeting tight deadlines and quick iterations, resulting in high client satisfaction. Optimized a core feature of a web platform by implementing a data query endpoint in FastAPI with SQLAlchemy, delivering a tailored data structure to an interface solution built with React, TanStack Table, PDF.js, and React Virtuoso, ultimately improving responsiveness and user engagement.

Engineered an end-to-end migration from legacy data sources in Google Sheets to a modern web platform built with TypeScript, Next.js and PostgreSQL for a finance management application, implementing transaction histories, dynamic reporting, multi-currency support, and budgeting tools to enhance financial insights. Led a 2-person team to design and deploy an AI-driven legal application using Next.js, FastAPI and PineCone DB, establishing a unified monorepo architecture, automating network request code generation which allowed meeting tight deadlines and quick iterations, resulting in high client satisfaction. Optimized a core feature of a web platform by implementing a data query endpoint in FastAPI with SQLAlchemy, delivering a tailored data structure to an interface solution built with React, TanStack Table, PDF.js, and React Virtuoso, ultimately improving responsiveness and user engagement.

Engineered an end-to-end migration from legacy data sources in Google Sheets to a modern web platform built with TypeScript, Next.js and PostgreSQL for a finance management application, implementing transaction histories, dynamic reporting, multi-currency support, and budgeting tools to enhance financial insights. Led a 2-person team to design and deploy an AI-driven legal application using Next.js, FastAPI and PineCone DB, establishing a unified monorepo architecture, automating network request code generation which allowed meeting tight deadlines and quick iterations, resulting in high client satisfaction. Optimized a core feature of a web platform by implementing a data query endpoint in FastAPI with SQLAlchemy, delivering a tailored data structure to an interface solution built with React, TanStack Table, PDF.js, and React Virtuoso, ultimately improving responsiveness and user engagement.