Hire the Best Embedded Systems Engineers in Dallas, TX

I help companies design, prototype, and troubleshoot complex hardware systems, especially where mechanical, electrical, thermal, and control systems must work together reliably in demanding real-world environments. I am a former Head of R&D at Northrop Grumman Marine Systems, with experience in turbines, generators, electric motors, rotating machinery, and large-scale power systems. My work also includes combustion systems, battery systems, power electronics, embedded hardware, and full product development from concept through working prototype. I work with startups and established companies on: - hardware system design - rotating machinery and power systems - combustion, thermal, and fluid systems - battery and embedded hardware - controls, instrumentation, and industrial automation - diagnosing and solving difficult engineering problems I focus on practical, buildable solutions with strong attention to reliability, manufacturability, safety, and system integration. I’m often brought in when a project needs senior-level engineering direction to move from concept to a working system efficiently. I studied engineering and business at Stanford University and have 20+ years of experience working with venture-backed startups, helping connect engineering decisions to product development, scaling, and execution.

I build production-ready AI/ML/Data backend systems using Python, Django, FastAPI, Node.js, LLMs, computer vision, vector search, AWS/GCP, Docker, and Kubernetes. I help teams turn AI prototypes into reliable APIs, data pipelines, and deployed products. My strongest work is at the intersection of machine learning and backend engineering: LLM applications, computer vision and data pipelines, OCR systems, data-heavy APIs, model deployment, and scalable backend services using Python, Django, FastAPI, Node.js, NestJS, PostgreSQL, vector databases, AWS, GCP, Docker, and Kubernetes. I can help you with: • Building AI-powered backend systems from scratch • Integrating OpenAI, Hugging Face, LangChain, LlamaIndex, or custom ML models into real products • Creating Django, FastAPI, or Node.js APIs for AI/data applications • Designing RAG systems, vector search, document intelligence, and structured-output LLM workflows • Training, fine-tuning, evaluating, and deploying ML models • Building computer vision and OCR pipelines with PyTorch, TensorFlow, JAX, OpenCV, and Transformers • Improving model latency, reliability, accuracy, and production monitoring • Creating cloud-native ML infrastructure on AWS or GCP • Cleaning up unstable backend systems, tests, CI/CD, and deployment workflows Recent work includes production NLP, computer vision, Data pipelines, multimodal AI systems, OCR models, document-processing tools, AI dashboards, real-time inference services, and large-scale ML pipelines. I have worked on systems involving sub-100ms latency targets, 4× inference throughput gains, 20–40% model quality improvements, OCR accuracy improvements, and cloud deployments serving high-volume workloads. Unlike many ML engineers, I do not stop at notebooks. I build the APIs, services, databases, tests, deployment pipelines, and monitoring needed to make AI useful in production. Core stack: Python, Django, FastAPI, Node.js, NestJS, TypeScript, PostgreSQL, MySQL, MongoDB, SingleStore, FAISS, Pinecone, PyTorch, TensorFlow, JAX/Flax, OpenCV, Hugging Face, LangChain, LlamaIndex, OpenAI API, AWS, GCP, Docker, Kubernetes, CI/CD. Good fit if you need someone who can understand the model, the backend, the data, and the product requirements in one conversation.

I build Python automations, full stack web apps, and API integrations that have to work the first time, every time. Most recently I spent two and a half years at Raytheon Missiles & Defense as a software engineer, where every line of code went through formal review, every behavior was documented, and every edge case had a test. I bring that same discipline to client work, just applied to faster moving stacks. What I do best: • Python automation and data pipelines. ETL, web scraping, API workflows, scheduled jobs, Excel and CSV cleanup, pandas analysis, Jupyter notebooks. (At the National Association of Counties I automated cleaning of 100+ public policy datasets in Python, replacing a slow manual workflow.) • Full stack web development. React, Next.js, Node, FastAPI, Django, REST and GraphQL APIs, Stripe and auth integrations, deployed on AWS or Vercel. • Bug fixes, refactors, and feature additions on existing codebases. I am happy walking into a project that someone else started. • Tooling that ships. CLI tools, Chrome extensions, internal dashboards, Slack and Discord bots, scheduled scripts. Why work with me: • Clear technical documentation delivered alongside every change, so your team can maintain the work after I hand it off. • Proactive status communication. You will always know what is in progress, what is blocked, and what is next, without having to ask. • B.Sc. Computer Science, George Washington University (GPA 3.55, Dean's List, Presidential Academic Scholarship). Based in Dallas, TX, US business hours. Currently taking on a small number of introductory rate engagements while I build my Upwork track record. If your project rewards careful work, message me. Abdullah