Welcome to my GitHub! I'm a Systems and Computer Engineer with 4+ years of experience specializing in backend development, distributed systems, and blockchain infrastructure. Passionate about building scalable solutions that make a real impact.

• Backend & Infrastructure Engineer at Nodexo (Bittensor Subnet 27): Designed and developed enterprise GPU computing infrastructure with 8+ production-ready containerized environments, including PyTorch, Jupyter notebooks, and LLM deployment systems using vLLM and Hugging Face.

• Open Source Contributor: Created and maintained the automated miner installation system for Bittensor's ni-compute subnet (60 stars, 43 forks), used by hundreds of users to deploy GPU resources for AI applications.

• Top Rated Plus on Upwork: Achieved the highest freelancer status on Upwork, demonstrating consistent delivery of high-quality work and client satisfaction.

• Startup Founder: Co-founded and led Ucover as CTO, winning two entrepreneurship competitions and securing $10K in pre-seed funding among 220 competing companies.

Languages: Python, JavaScript, Go, Bash/Shell

Backend Frameworks: Django, Django REST Framework, FastAPI, Flask

Cloud & DevOps: GCP, AWS (S3, EC2, RDS), Docker, Kubernetes, Terraform, CI/CD, GitHub Actions

AI/ML Infrastructure: vLLM, Hugging Face, PyTorch, Jupyter Notebooks, GPU Computing (NVIDIA CUDA), LLM Deployment, Ollama, ComfyUI

Blockchain & Distributed Systems: Bittensor, Ethereum, Distributed Mining & Validation Systems, Consensus Protocols, Validator-Miner Architecture

Databases: PostgreSQL, MongoDB, Firebase

Testing & QA: Pytest, Postman, End-to-End Testing, Unit Testing

Architecture: Microservices, Ports and Adapters, RESTful APIs, Distributed Systems

• Bittensor Subnet 27 (SN27): Active contributor with multiple approved pull requests to core infrastructure, including validator-miner communication improvements, template system implementation, and feature development.

• Enterprise GPU Templates: Developed and published 8+ containerized templates for enterprise GPU computing on Docker Hub, including PyTorch, Miniconda, Jupyter environments, and LLM deployment systems.

• Technical Documentation: Created and maintained comprehensive technical documentation for the ni-compute subnet, serving as the reference point for developers and users in the community.

I'm working on cutting-edge blockchain infrastructure and AI/ML deployment systems at Nodexo, contributing to the Bittensor ecosystem, and continuously learning about distributed systems and GPU computing optimization.

• LinkedIn: David Maldonado on LinkedIn
• Upwork: Top Rated Plus Profile
• Docker Hub: dmaldonadob

⭐️ Thank you for visiting my profile! Feel free to explore my repositories and reach out if you'd like to collaborate.