My Name is Ferris

Software Engineer & Automation Specialist

I build systems that automate workflows, process data at scale, and solve technical problems across industries—from automotive and IoT to biomedical research and digital media operations.

Bachelor's of Science in Computer Science & Information Technology

Ferris
Software Engineer & Automation Specialist
Skills & Experience
Building intelligent systems that automate workflows, process data at scale, and integrate across platforms. Specialized in full-stack development, AI/ML, and turning complex technical problems into scalable solutions.

Full-Stack Development

Complete web applications from design to deployment—user interfaces, APIs, databases, and everything in between.
React, Next.js, Node.js, FastAPI, HTML/CSS, Golang

Databases & Data Modeling

Reliable data storage and retrieval systems that scale with your needs—from customer databases to content catalogs.
Postgres, MySQL, MongoDB, ChromaDB, Redis

Machine Learning & AI

Intelligent automation using AI—from computer vision to language models, I integrate AI into your workflows to process data smarter.
PyTorch, TensorFlow, OpenCV, LangChain

Workflow Automation & Integration

Connect your tools and eliminate manual work—automate repetitive tasks, sync data across platforms, and build custom workflows.
APIs, Make.com, Zapier, Python scripting, data pipelines

Data Processing & Analytics

Transform messy data into actionable insights—bulk data operations, cleaning, analysis, and reporting at any scale.
Pandas, NumPy, SciPy, Excel automation

Video & Streaming Infrastructure

Real-time video processing and streaming systems—encoding, playback, transport, and low-latency pipelines.
FFmpeg, GStreamer, RTSP, WebRTC

Industrial IoT & Automation

Connect factory equipment and industrial systems—integrate PLCs, sensors, and protocols to automate manufacturing processes.
OPC UA, Modbus, MQTT, PLC Integration

Big Data & Event Streaming

Process large-scale data in real-time—build pipelines that handle millions of events and transform data as it flows.
Apache Spark, Kafka, Hadoop

CI/CD & DevOps

Automated testing, deployment, and release pipelines—ship code faster and more reliably.
GitHub Actions, Jenkins, Harness, Docker

Edge & Desktop Applications

Software that runs on deployed devices and desktops—from kiosks to field equipment, built for reliability.
Electron.js, Linux (RHEL/AlmaLinux), systemd, remote support tools
Products
Real-world systems shipped in production — AI automation, IoT, embedded video, and cloud-native platforms.

SmartSTOP Anticollision

AI-powered in-tunnel collision prevention
AI-powered in-tunnel collision prevention system deployed across production car wash sites. Built upon a robust edge-to-cloud architecture, this system leverages Real-time ML inference pipelines using NVIDIA DeepStream & GStreamer to analyze live camera feeds, automatically halting conveyor and equipment systems before an incident occurs — with coverage extending up to 15 ft beyond the tunnel exit via an integrated Virtual Exit Mat.
Sonny's Enterprises

Sonny's SMCC

IIoT Motor Health & Predictive Maintenance Platform
IoT-connected microservices layer for Sonny's Smart Motor Control Center — a Schneider Electric/Modicon M262-powered system monitoring 40+ motor loads across car wash tunnels in real time. Built cloud-connected services that ingest motor telemetry (voltage, current draw, energy consumption) from edge PLCs via Modbus/OPC UA, enabling remote diagnostics, anomaly detection, and predictive maintenance alerts for site operators.
Sonny's Enterprises

Sonny's Digital Queue

License plate recognition system that reads every vehicle at the pay station, validates unlimited-membership subscriptions, and routes the correct wash package through the tunnel automatically. Built OCR/LPR workflows with OpenCV + TensorFlow, fast vehicle lookup via AWS OpenSearch, and an operator-facing Digital Queue dashboard with drag-and-drop reordering, customer name display, and member recognition.
Sonny's Enterprises

Connected Vehicle Services

QA & Regression Testing
QA & regression testing for SiriusXM's Connected Vehicle Services platform, an embedded telematics system deployed across 12 million+ vehicles. Covered real-time vehicle location tracking, collision warning, and crash alert features (ACN+) that relay crash data directly to 911 centers nationwide. Improved test case coverage and defect traceability using JIRA for safety-critical connected-car features.
SiriusXM Satellite Radio

SiriusXM 360L

Hybrid Platform Testing
Validation testing for SiriusXM's 360L next-gen in-vehicle platform — a hybrid satellite + IP streaming architecture powering personalized channels, dynamic content, and rich metadata delivery across OEM vehicle integrations. Built and executed test suites in Ruby covering the 360L content and streaming layer, with Android-based testing for the in-dash client experience.
SiriusXM Satellite Radio

Snackability

Nutritional Scoring App
Cross-platform mobile app built for applied nutrition research at FIU. Developed a food scoring algorithm benchmarking nutritional values against USDA standards, integrated local and USDA database search, and led a team of developers and professors to ship a user-friendly app designed to incentivize healthier eating habits.
FIU Department of Dietetics
Internal Tools
Internal platforms built for real organizations — not publicly listed but production-grade in scope and execution.

Virtual Lab Analytics

Web-based Simulation Platform for Drug Efficacy Testing In Silico
Web-based simulation platform for testing drug and compound effectiveness against neurotoxins — eliminating the need for early-stage physical trials. Partnered with pharmacists, lab scientists, and mathematicians to build interactive 3D visualizations of computational pathway models using Three.js and D3, serialized clinical data with Python/NumPy/SciPy, and deployed the platform on Google Cloud for cross-institutional access.
Gateway Institute for Brain Research

Digital Operations Automation

Platformized automation for Sony Music Latin's digital catalog operations, cutting cycle time by ~85% through standardized pipelines and QA gates. Built Python data pipelines for metadata ingestion, normalization, and bulk-ready template generation, FastAPI services for VSEO/SEO optimization and export, and LLM-assisted title/description generation via LangChain + ChromaDB RAG — with a Next.js operator dashboard in progress for review and reporting workflows.
Sony Music Latin
Contact Me!
Open for new opportunities, consulting, and collaboration.

Let's chat!

Name

Ferris Mohammed