
Alain Davila
@alaindavila
Senior Software Engineer at GuideWell who developed AI logistics workflows and voice assistants supporting 5,000+ concurrent users.
What I'm looking for
At GuideWell, I developed AI-enabled applications for logistics operations, including real-time tracking and automated exception handling. I built RAG pipelines with FAISS and connected LLM workflows to logistics services through Model Context Protocol servers.
I also deployed voice AI assistants using LiveKit to support hands-free workflows for 5,000+ concurrent users. My work included FastAPI services and Kafka event pipelines for real-time communication across distributed systems.
Earlier at Elevance Health, I developed secure healthcare applications and optimized PostgreSQL queries, reducing response times from 800ms to 200ms. At L3Harris Technologies, I worked on clinical-data and document workflows, including OCR-based processing that handled 50,000 documents and reduced manual work by 80%.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
GuideWell
Jun 2022 - Aug 2026 (4 years 2 months)
Developed and enhanced AI-enabled full-stack applications with React, Next.js, TypeScript, Python, FastAPI, PostgreSQL, and AWS, enabling autonomous delivery operations and real-time tracking. Constructed RAG pipelines and deployed voice AI assistants supporting 5,000+ concurrent users.
Software Engineer
Elevance Health
Dec 2019 - Jun 2022 (2 years 6 months)
Developed secure full-stack healthcare applications with React, Next.js, JavaScript, Python, FastAPI, Flask, GraphQL, and PostgreSQL, enabling faster patient record retrieval. Refactored PostgreSQL schemas and optimized SQL queries, reducing response times by 75%.
Full Stack Developer
L3Harris Technologies
Aug 2017 - Nov 2019 (2 years 3 months)
Developed full-stack features for a medical-device quality-management platform using React, Next.js, JavaScript, Python, FastAPI, Java, Spring Boot, and PostgreSQL. Implemented OCR-based document processing that automated 50,000 documents and reduced manual work by 80%.
Frontend Developer
L3Harris Technologies
May 2016 - Aug 2017 (1 year 3 months)
Developed responsive frontend features for internal business applications using React, Next.js, JavaScript, TailwindCSS, and Material UI. Centralized shared state with Redux, reducing state-related bugs by 20%.
Education
Degrees, certifications, and relevant coursework
Florida State University
Bachelor of Science, Computer Engineering
2012 - 2016
Bachelor of Science in Computer Engineering from Florida State University, completed in April 2016.
Tech stack
Software and tools used professionally
Snowflake
Apache Spark
Apache Hive
Amazon S3
GitHub
Kubernetes
GitHub Actions
PostgreSQL
Microsoft SQL Server
Django
Next.js
Tailwind CSS
Material-UI
Terraform
Jira
React
Vue.js
JavaScript
Python
HTML5
Java
C#
Kafka
Flask
FastAPI
Confluence
GraphQL
Socket.IO
AWS Lambda
Deepgram
Amazon RDS
Redux
TypeScript
Git
Docker
Twilio
WebRTC
SQL
LangChain
ElevenLabs
LiveKit
Faiss
LangGraph
Model Context Protocol (MCP)
Retrieval-Augmented Generation (RAG)
AWS
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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