Ian Brown
From: United States of America
Location: Cerritos, US
On Useme since 19 December 2025
About me
I am a dynamic Full Stack Engineer with over 9 years of experience in developing robust applications using Next.js, FastAPI, Python, Java, Angular, C#, and .NET. Proven track record of boosting user engagement by 40% and reducing deployment cycles by 50% through effective CI/CD automation. Expertise in cloud architecture with AWS, GCP, and Microsoft Azure, enhancing system scalability, security, and reducing latency. Passionate about mentoring and cross-functional collaboration, poised to drive innovative solutions that align with both engineering and user experience needs.
Categories
CV / Résumé
May 2019 - Jan 2026
Full Stack Engineer
Premier Agent Network
Engineered full-stack features with Next.js, Angular, FastAPI, Python, and Java, boosting engagement by 40%. Built scalable cloud services on AWS, GCP, and Azure, improved security by 30%, and sped up CI/CD by 50%.
Apr 2016 - Feb 2019
Software Engineer
Amazon Web Service
Built high-performance backend microservices with Python, FastAPI, and Java on AWS, boosting throughput by 30%. Integrated Kafka and RabbitMQ for async workflows, cut costs by 15%, and reduced data retrieval time by 25% using RDS and Redis.
Jun 2014 - Jan 2016
Backend Developer
Keller Wiliams Realty
Developed scalable backend APIs with Java and C#/.NET Core, improving performance by 20%. Automated CI/CD with Jenkins and Azure DevOps for 50% faster releases, integrated third-party APIs, and built scalable AWS and Azure cloud foundations.
Portfolio
Option Bot Dashboard
Developed option trading bot with python and build financial dashboard to monitor the bots performance. Secured with passkeys so only the one who has passkey can access dashboard. Works for all option symbols including SPY, SPX, QQQ etc.
NQ signals dashboard
This is ai trading platform where client can trade with help of AI. To predict the market trend, I used time series transformer model from Hugging Face and used Distilbert model for sentimental analysis. The backend is made with FastAPI
TikTok Clipper Tool
Recently, I completed a project aimed at simplifying social media posting using AI services. The system automates content creation by downloading videos from a YouTube channel and generating short clips using Klap.ai.