Summary

Overview

Work History

Education

Skills

Accomplishments

Languages

Timeline

FERRIS MOHAMMED

Miramar ,FL

Summary

Results-driven software engineer with over 5 years of experience in AI-driven automation, IoT, machine learning, and real-time systems. Proven expertise in developing industrial automation, embedded systems, and cloud-native applications. Collaborative by nature, adept at working across disciplines to deliver high-performance, AI-driven solutions for automation, smart infrastructure, and biomedical research. Passionate about leveraging the synergy between software, hardware, and AI to create scalable and efficient systems.

GITHUB: https://github.com/FerMoha2177

LINKEDIN: https://www.linkedin.com/in/ferris-mohammed-569695126/

Overview

years of professional experience

Work History

R&D Engineer

Sonny's Enterprises

Tamarac, FL

08.2023 - Current

Developed AI-powered microservices utilizing AWS Lambda, API Gateway, DynamoDB, and OpenSearch to enhance vehicle detection and optimize wash routing.
Developed advanced OCR pipelines leveraging OpenCV and TensorFlow for efficient license plate recognition, facilitating tailored wash services and validating subscriptions.
Developed and optimized video analytics and machine learning inference pipelines for automated wash lanes, leveraging NVIDIA DeepStream and GStreamer to improve operational efficiency.
Executed integration of industrial PLCs (WAGO, Schneider) and wash controllers, enhancing operational efficiency via Modbus/TCP, OPC UA, and AWS IoT Core.
Created dynamic operator dashboards and control panels leveraging React, Next.js, and Electron, integrating MySQL and AWS APIs for real-time monitoring and validation.
Developed internal administrative tools in Retool, integrating AWS-hosted APIs, MySQL, and OpenSearch for enhanced real-time telemetry views.
Leveraged feature flagging in React and Retool UIs to enable progressive feature rollouts, hotfix toggling, and environment-based feature visibility
Built and maintained CI/CD pipelines using Harness, automating testing and canary deployments for containerized microservices on AWS ECS and Greengrass
Automated bare-metal provisioning of Linux-based edge devices using Kickstart and RPMs on CentOS/AlmaLinux, reducing field setup time and manual errors
Boosted system responsiveness with Redis caching and RabbitMQ messaging, ensuring fast, event-driven triggers from LPR recognition to wash command execution
Debugged and interfaced with Go-based Device Manager modules (server/client) for secure device identity verification and authentication in edge-to-cloud architecture

Biological Software Developer

Gateway Institute For Brain Research

Davie, FL

02.2021 - 11.2022

Partnered with pharmacists, lab scientists, and mathematicians to build data-driven web tools for neurodegenerative disease research.
Developed interactive lab simulation platforms using React, D3, Three.js, and Flask to visualize experimental outcomes and accelerate drug efficacy testing.
Built RESTful Flask apps integrating internal and third-party APIs; managed data with PostgreSQL.
Modeled patient treatment paths for Parkinson’s using Python, Numpy, Scipy, and Pandas by serializing clinical data into analysis-ready formats.
Created computational pathway models and custom visualizations to support hypothesis testing and experimental validation.
Deployed research apps on Google Cloud Platform for internal and cross-institutional access.

Lead Full-Stack Developer

FIU Department

Miami, FL

06.2020 - 12.2020

Led a cross-platform mobile app project for dietetics and applied nutrition research, Snackability
Developed a food scoring algorithm to evaluate nutritional value and compared food contents with USDA standards.
Built a search feature using local and USDA databases.
Worked closely with Developers and Professors to deliver a user-friendly app to incentivize healthy dieting
Utilized React-Native, Node.js, MySQL for development stack
Utilized Firebase and Express user-authentication and routing
Utilized Expo and Heroku for Deployment

Software Test Engineer

SiriusXM Satellite Radio

Deerfield Beach, FL

11.2017 - 11.2018

Conducted regression testing and submitted observations to development team.
Optimized test cases to maximize success of manual software testing using JIRA.
Tested R&D tech Connected Car Solutions that monitor real-time vehicle location relative to other vehicles along with providing user safety features for crash alerts and collision warning.