Open to opportunities

Ray Gill

@raygill

Message

Senior backend engineer building secure FastAPI microservices and AI/ML systems.

United States

Message

What I'm looking for

I’m looking for a role where I can own backend architecture end-to-end—building secure FastAPI services, scalable event-driven systems, and production ML/LLM workflows with strong DevOps and Agile collaboration.

I’m a senior backend engineer with 7 years of experience designing and scaling distributed, cloud-native, fault-tolerant systems using Python and FastAPI. I build high-performance APIs and secure backend platforms with measurable impact—improving system efficiency by 60%, reducing latency by 40%, and maintaining 99.9% uptime.

In my current role, I design AI-powered microservices on GCP to scale ML model serving, and I deliver end-to-end data preprocessing pipelines for structured and unstructured data. I optimize PostgreSQL and MongoDB data layers to accelerate query performance, and I implement transformer-based NLP pipelines for text analysis and summarization.

I also strengthen production reliability through model monitoring and logging, MLOps automation, and event-driven, asynchronous workflows. From RBAC and secure access controls to Celery-powered background jobs and CI/CD automation, I focus on dependable delivery, security-first architecture, and continuous improvement in Agile, remote-first teams.

Experience

Work history, roles, and key accomplishments

Current

Senior Python AI/ML Engineer

Current

Invozone

Jun 2022 - Present (4 years)

Designed and deployed AI-powered FastAPI microservices on GCP, increasing model serving throughput by 55% while reducing data noise by 40%. Optimized PostgreSQL/MongoDB query performance by 45% and improved model reliability by 35% through monitoring, RBAC/JWT OAuth2 security controls, and automated MLOps pipelines.

Python fastAPI GCP Microservices PostgreSQL MongoDB Celery OAUTH2 MLOps

Backend Engineer

Intel

Jun 2018 - Apr 2022 (3 years 10 months)

Engineered backend services with Django and Flask, sustaining 98% uptime, and built ETL/batch pipelines on AWS/Firestore that reduced manual intervention by 70%. Integrated Stripe and PayPal (30% higher transaction success), implemented RBAC (40% stronger security), and increased asynchronous task throughput by 50% using Celery.

Python Django Flask AWS Firestore ETL Celery RBAC Event Driven Systems

Backend Engineer (Volunteer)

Invocom

May 2016 - May 2018 (2 years)

Developed Python-based RESTful backend APIs (FastAPI) that improved feature delivery speed by 35% and built scheduled data ingestion/sync pipelines that reduced operational errors by 40%. Helped integrate payment/checkout improvements (25% reliability), supported RBAC/auth modules (30% consistency), and built LLM-powered recommendations (35% improved engagement) while reducing background job failu

fastAPI Python PostgreSQL GCP REST API Development RBAC Data Pipelines Background Jobs