Benjamin Cox
I'm a senior software and AI engineer with 12+ years of experience building production-grade systems across AI/ML, full-stack development, mobile applications, embedded systems, and real-time software.
About
I’m a senior software and AI engineer with 12+ years of experience building production-grade systems across AI/ML, full-stack development, mobile applications, embedded systems, and real-time software.
My core strengths are Python, C/C++, machine learning, LLM-powered applications, backend/API development, mobile engineering, and performance-critical systems. I’ve worked across the full development lifecycle from architecture and data pipelines to model training, inference optimization, APIs, mobile integration, deployment, testing, and production monitoring.
What differentiates me is the ability to work comfortably at both the high-level application layer and the low-level systems layer. I can build an AI service in Python, design the backend around it, integrate it into web or mobile products, and optimize performance-critical components in C/C++ when latency, memory, hardware, or real-time constraints matter.
My experience spans AI and intelligent automation, SaaS and backend platforms, mobile products, Bluetooth and connected devices, embedded systems, real-time audio/DSP, and high-performance software. I focus on practical engineering: clean architecture, measurable performance improvements, maintainable code, and solutions that can move successfully from prototype to production.
Employment and Project Experience
Senior Software Engineer — AI & Machine Learning
ForgeNEX
January 2025 – January 2026
Built production AI/ML applications, LLM and RAG systems, scalable Python data pipelines, FastAPI services, model evaluation and monitoring workflows, and optimized inference systems. Worked with PyTorch, scikit-learn, OpenAI, Anthropic, vector databases, PostgreSQL, Docker, REST APIs, and WebSockets.
Senior Mobile & Embedded Software Engineer
Cobee
January 2022 – December 2024
Developed cross-platform and native mobile applications using React Native, Flutter, Kotlin, Swift, and C/C++. Built BLE communication, hardware and sensor integrations, offline-first architectures, backend integrations, and performance-sensitive mobile components.
C/C++ Software Engineer — Systems & Performance
AePTIC S.L.
January 2018 – December 2021
Developed high-performance C/C++ systems involving multithreading, asynchronous I/O, networking, hardware interfaces, sensors, Bluetooth, USB, and real-time data processing across Linux, Windows, and embedded environments.
Audio Software Engineer & Signal Processing Developer
Satellogic
January 2015 – December 2017
Built real-time audio and DSP systems using C++ and Python, including filtering, noise reduction, spectral analysis, audio enhancement, signal-processing pipelines, and ML-assisted audio classification.
- 15 years' experience
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Computers & Electronics
- Media & Entertainment
- Professional Services
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Work experience· 4 roles
Architected production AI/ML applications in Python (PyTorch, scikit-learn) with FastAPI for prediction, classification, and data-processing workflows. Built retrieval-augmented generation and LLM-powered applications using OpenAI/Anthropic, embeddings, vector databases, and structured tool-calling. Optimized inference pipelines via profiling, batching, caching, and asynchronous processing, reducing average latency by ~35%. Developed ETL/training and inference data pipelines using NumPy/pandas and PostgreSQL. Implemented automated model evaluation, monitoring, and testing to detect regressions before deployment. Containerized services with Docker and integrated AI into web and mobile apps via REST APIs/WebSockets/event-driven services.
Designed cross-platform mobile applications using React Native, Flutter, Kotlin, and Swift, combining native integrations with performance-sensitive logic. Developed native C/C++ modules for hardware, sensors, and Bluetooth peripheral communication. Built robust BLE layers (discovery, pairing, characteristic read/write, notifications, and reconnection/background communication). Improved responsiveness through profiling, memory management, and asynchronous processing. Implemented offline-first architectures with local persistence, sync queues, background processing, and conflict handling. Integrated REST/WebSockets, push notifications, authentication, cloud storage, and analytics; established CI/CD and automated testing for Android and iOS releases.
Built high-performance C/C++ components using multithreading, asynchronous I/O, and low-level networking/system interfaces to meet predictable latency and fault-tolerant requirements for real-time data streams. Optimized CPU-intensive algorithms with profiling and benchmarking to remove bottlenecks. Integrated hardware/sensor and device communication (serial, USB, Bluetooth, network protocols) across Linux/Windows/embedded environments. Improved stability via memory analysis, concurrency testing, crash diagnostics, logging, and systematic debugging. Created automated unit/integration testing infrastructure for core C/C++ components to increase regression coverage.
Education
Testimonials · 5.0 from 1 review
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