Sherard Dalaguit

Remote Full-Stack Software Engineer | Building Production-Ready SaaS Platforms & AI-Driven Applications

About Me

Sherard Dalaguit

Full-Stack Software Engineer

Los Angeles, CaliforniaManila, Philippines

B.S. Software Engineering & B.S. Computer Science
at the

University of California, Irvine

LinkedIn GitHub Email Resume

I'm a software engineer who designs and ships production-grade full-stack systems, with a strong focus on architecture, data modeling, and reliability using TypeScript, Next.js, Node.js, and MongoDB.
I build AI-powered and full-stack products across language learning, dating, and backend-heavy platforms—designed around real-world constraints like latency, correctness, and failure handling.

My Skills

Python

General Purpose

Java

Enterprise Software

C++

System Programming

JavaScript

Web Scripting

TypeScript

JavaScript but better

Node.js

Runtime Environment

React

Frontend Library

Next.js

React Framework

SQL

Database Management

Neo4j

Graph Database

MongoDB

NoSQL Database

Mongoose

ODM for MongoDB

Tailwind

CSS Framework

OpenAI API

AI Integration

Claude Code

CLI-based AI Agent

Git

Version Control

My Experience

I've been working as a Full-Stack Software Engineer for the past few months.
Here's a timeline of my journey so far.

Jun 2026 – Sep 2026

Twilio

Software Engineer Intern

TypeScriptFastifyReactAWSLLMs

Built a TypeScript/Fastify upload pipeline supporting 5 document formats plus CSV, integrating AWS S3, Prisma, MySQL, Markdown conversion, magic-byte validation, and owner-scoped authorization for LLM campaign workflows.
Shipped 3 Fastify read APIs and a React Company Research interface across 4 repositories, surfacing generated campaign assets with SSE-driven refresh, 90-day news, and per-account failure isolation.
Architected domain, service, and repository layers for a greenfield TypeScript backend rewrite, defining 12 typed dependencies and runtime-validated entities that unblocked 3 downstream engineering tickets.
Built an asynchronous per-asset regeneration API that reruns 1 generation stage instead of the full 5-agent pipeline, adding lifecycle gating, ownership checks, rate limiting, and in-place updates.
Benchmarked OpenAI model and concurrency configurations for URL enrichment, identifying a setup ~3× faster with ~3.3× lower p95 latency and ~3× lower estimated inference cost.

Jan 2026 – Jun 2026

Panasonic Avionics

Software Engineer Consultant

PythonGoOpenAPINeo4jYAML

Built a Python backend validation service to prevent incompatible aircraft software deployments by enforcing hardware, software, and configuration constraints prior to fleet rollout.
Engineered a deterministic resolution system for large-scale, distributed deployment validation, via dependency graph traversal across 1,500+ aircraft to deliver low-latency (<5s) constraint evaluation.
Designed OpenAPI integration contracts and Go-based validation tooling for YAML dependency manifests, enabling pipeline-level verification before Neo4j ingestion.
Architected a Neo4j dependency graph schema supporting semantic version ranges, hard vs. soft requirements, and incompatibilities across 50,000+ deployable artifacts.
Reduced simulated fleet-scale deployment failures by 90%+ by partnering with a Principal Architect to shift validation to pre-deployment constraint evaluation with actionable incompatibility explanations.