Seasoned Rust/Python Engineer 8+ years of experience building high-performance systems in production Robust expertise in developing scalable, memory-safe applications—from blockchain infrastructure and networking services to end-to-end AI/ML pipelines. Proficient in Rust’s ownership model, zero-cost abstractions, and asynchronous concurrency, delivering efficient solutions for domains like MEV relays and deep-learning inference. Also comfortable across the full ML lifecycle: building data workflows in Python, training and quantizing models, and deploying them via Rust-based microservices with REST/gRPC in Kubernetes. Collaborative and proactive engineer with a passion for clean architecture, code reviews, CI/CD automation, and rigorous testing. 🦀 Rust Language & Tooling * Deep knowledge of ownership, borrowing, lifetimes, and traits * Proficient with Cargo: workspaces, dependencies, crate publishing * Idiomatic error handling: `Result`, `Option`, `thiserror`, `anyhow` ⚙️ Asynchronous & Concurrent Programming * `async/await` with Tokio, async-std * Safe concurrency: `Arc`, `Mutex`, `RwLock`, lock-free structures * High-performance networking: hyper, reqwest, tonic (gRPC) 🌐 Web & RPC Frameworks * REST APIs: Actix-Web, Warp, Rocket * GraphQL: async-graphql, juniper * Protocols: JSON-RPC, Protobuf, WebSockets ⛓ Blockchain & Smart Contracts * Ethereum: MEV relay, builder/gateway dev, execution payloads, beacon node interfacing * L2 Rollups: Optimism, Arbitrum, zkSync integrations * Solana: On-chain programs (Anchor), Web3.js integrations * Tokenomics: custom tokens, staking pools, event-driven logic 🧠 AI & ML Engineering * End-to-end ML in Rust and Python (Jupyter, VS Code) * Deep learning with PyTorch (TorchScript, distributed) and TensorFlow/Keras * Rust-native inference: tch-rs, burn, tract, rust-bert * Model serving: Triton, TorchServe, Rust + tonic/hyper * Data processing: numpy, pandas, Spark, Ray * MLOps: Kubeflow, Airflow, MLflow, Weights & Biases * OpenClaw Integrations 🚀 Performance Tuning & Profiling * Profiling: perf, pprof-rs, flamegraphs * Optimization: memory pooling, cache-efficient data layouts * Fuzzing: cargo-fuzz, proptest 🧪 Testing & QA * Unit/integration: `cargo test`, mockall, E2E testing * Quality: Clippy, rustfmt, tarpaulin (coverage) * CI/CD: GitHub Actions, GitLab CI 🐳 DevOps & Containerization * Docker: multi-stage builds, slim images * Kubernetes: manifests, StatefulSets, Helm charts * Observability: Prometheus, Grafana, ELK stack 🔗 FFI & Interoperability * Safe C/C++ FFI: bindgen, cbindgen * WebAssembly: modules for browser & edge runtimes * Interop with Python/JVM: sockets, gRPC bridges 🤝 Collaboration & Process * Git workflows: feature branches, rebases, squash merges * Agile, JIRA/Trello, Confluence * Team mentorship, code reviews, tech docs

Hey, I'm Paul, a software engineer (backend & cloud) who really gets a kick out of building solid, scalable systems and then making them smarter with machine learning. Over the last 4+ years I've shipped production backends and ml that handle real-time payments, media pipelines, and high-traffic software systems (backend), usually in Python, Rust, TypeScript/Node.js, with a good dose of Docker, Kubernetes, Redis, and queues to keep things fast and reliable. I've cut latency in half with clever caching, processed 100k+ images a day with computer vision models at 91% accuracy, and built payment flows that dropped failures by 85%. Basically, I love taking complex problems and turning them into clean, efficient code that just works at scale. Machine learning is where it gets really fun for me, whether it's training models with PyTorch/TensorFlow, building CV pipelines (YOLO included), or wiring ML into backend services so the whole thing feels intelligent without being fragile. Automation, data-driven decisions, and removing unnecessary complexity are kind of my thing. I do my best work when I'm collaborating with curious, passionate people, brainstorming, leading small teams, or just jumping into a tough challenge together. If you've got an idea that could use a strong backend foundation plus a bit of ML magic, I'd genuinely love to hear about it and see how we can build something cool. Outside of code you'll usually find me playing football or out for an evening run, keeps the energy up for the next sprint Open to remote backend (or backend + ML) roles where I can own meaningful systems and keep learning.

I am a Full Stack Engineer specializing in high-performance backend systems, Gen AI powered applications, and scalable web platforms. With strong expertise in Rust systems programming, modern web development, and AI integrations, I help startups and businesses build secure, intelligent, and production-ready applications. Backend & Systems Engineering - Rust (Actix / Axum / Tokio) - High-performance REST APIs - Microservices architecture - Secure authentication systems - Database optimization (PostgreSQL / MongoDB) - Dockerized deployments AI Integration & Intelligent Applications - OpenAI API integration - Custom AI chatbots - LLM-powered SaaS platforms - AI automation workflows - Prompt engineering - AI-driven dashboards Full Stack Development - React.js - Next.js - TypeScript - Node.js - API integrations - Responsive UI systems Why Work With Me? ✔ Performance-focused architecture ✔ Clean & maintainable code ✔ Startup-friendly mindset ✔ Clear communication ✔ Production-ready solutions If you're looking for an engineer who can combine system-level performance, AI capabilities, and modern stack technologies let's build something exceptional.

Blockchain is easy to pitch. Building something people actually use is where things get interesting. Over the last 10+ years, I've worked across software engineering, product development, and blockchain infrastructure, helping startups and businesses turn ideas into working products. A large part of my recent work has focused on: • Carbon Credit Tokenization • Real Estate Tokenization • RWA (Real World Asset) Platforms • Smart Contracts • DeFi Applications • Web3 Products • Exchange & Trading Infrastructure I've worked on projects ranging from token ecosystems and blockchain integrations to SaaS platforms, backend systems, automation tools, and customer-facing applications. One thing I've learned over the years is that most projects don't fail because of technology. They fail because requirements aren't clear, complexity gets out of control, or important technical decisions are postponed until they become expensive. That's usually where I get involved. Sometimes it's a new product. Sometimes it's an existing platform that needs to scale. Sometimes it's a project that's been through multiple developers and needs a practical way forward. What I Can Help With: Asset Tokenization & RWA ✔ Carbon Credit Platforms ✔ Real Estate Tokenization ✔ Fractional Ownership Models ✔ Asset-Backed Token Solutions ✔ Investor Portals ✔ RWA Infrastructure Blockchain & Web3 ✔ Smart Contract Development ✔ ERC20 / BEP20 Tokens ✔ Wallet Integrations ✔ dApps ✔ DeFi Platforms ✔ NFT Infrastructure ✔ Web3 Integrations ✔ Staking & Reward Systems Exchange & Trading Systems ✔ Crypto Exchanges ✔ Matching Engine Integrations ✔ Trading Platforms ✔ Wallet Management ✔ Payment Processing Software Engineering ✔ SaaS Platforms ✔ Backend Systems & APIs ✔ AI Integrations ✔ Automation Solutions ✔ Cloud Infrastructure ✔ System Architecture ✔ Database Design & Optimization Technology Stack Blockchain: Solidity, Ethereum, Web3, DeFi, ERC20, BEP20, Tokenization, RWA Infrastructure Backend: Node.js, TypeScript, PHP, Laravel, Python, REST APIs, GraphQL, Microservices Frontend: React, Next.js, JavaScript Infrastructure: AWS, Docker, Linux, CI/CD Databases: PostgreSQL, MySQL, MongoDB, Redis Clients Usually Reach Out When • They need an RWA or tokenization platform built correctly from the start • A blockchain product needs experienced technical leadership • Smart contracts require implementation or integration • Existing systems need blockchain functionality • Development has slowed down and technical direction is unclear • An MVP needs to become a production-ready product • They need someone who can take ownership rather than simply complete tasks If you're building something in blockchain, tokenization, Web3, or adjacent technologies and need someone who can contribute beyond implementation, I'd be happy to discuss it.

- Rust, C++, C , Zig, Python, JavaScript - ARM architecture - ARMV8, ARMV7, ARMV6 - Shell scripting - Powershell and POSIX shell - Virtualization & emulation – QEMU, VirtualBox - Kernel, OS, and firmware development – bootloaders, initrd, Linux, xv6, custom kernels - Desktop applications - Linux, Windows, MacOS - Networking - Advanced debugging reverse engineering

With 15+ years of experience in extensive list of technologies, I am able to provide you with high quality, sophisticated, robust solutions that are well tested, efficient, accurate. I shine at diving into your existing codebase, find the source of issues, and resolve them without breaking another thing. If you have old legacy code, or a vibe coded program that is not working, I can fix them up for you to clean and conscious code. Need to automate? Got your back. Data processing, parsing complex PDF? Sure thing! You need it, if there is solution for it, I can get it done. Technologies I am currently working with: Rust, Python, Axum, SQLAlchemy, FastAPI, Django, PostgreSQL, SQLite, HTMX, ReactJS, Tailwindcss, RunPod, AI/LLM I am a passionate software engineer who enjoys challenges, and finding solutions. I have extensive experience of diving into existing code, finding issues, and resolve them. As a hardworking, resourceful engineer who also loves automating things, that usually saves a lot of time, I can provide the best service for the most reasonable costing. Besides developing data mining applications, automation tools, Websites, I have personal interest in Open Source projects. Here's a list of, but not limited to, responsibilities I have successfully fulfilled: ◾️ Desktop application ◾️ Refactoring ◾️ Prompt Engineering (Local LLM) ◾️ Machine Learning ◾️ Web development ◾️ Web Scrapers ◾️ Email processing ◾️ Distributed applications ◾️ ETL ◾️ Automation ◾️ Server configuration and deployments ◾️ Bug fixing and code improvements ◾️ High Performance computing Let's get in touch.

I have extensive experience in algorithmic trading, with a strong foundation in both directional and market-making strategies. Over the years, I’ve collaborated with traders across crypto and traditional markets, helping automate their trading strategies through platforms such as QuantConnect, Hummingbot, Nautilus Trader, NinjaTrader, Zerodha, and TD Ameritrade APIs. My work includes implementing models like the Avellaneda-Stoikov market-making strategy and contributing to open-source projects, including a Rust-based trading engine. I’ve also applied time series models (ARIMA) to detect pump-and-dump patterns in crypto markets, enhancing signal generation and risk management. One of the notable projects I worked on is a Trade Replicator tool that mirrors trades from a master account to multiple child accounts in real-time. I designed and built the system from the ground up, focusing on scalability and low-latency execution. Currently, I’m working at Loopr.ai as a Software Engineer, where I’m building no-code computer vision solutions tailored for the manufacturing industry. Our tools empower non-technical users to deploy intelligent automation across industrial use cases. Previously, I interned at NielsenIQ, the world’s largest market measurement and data analytics firm. As a Software Engineering Intern, I contributed to an internal MLOps platform called DMLE (Digital Machine Learning Environment). I developed a key feature for model drift detection, enabling data scientists to monitor and address model performance degradation proactively.

Hey, get stuck while vibe coding or wanna build MVP? 🧐 Then reach me out here. I can help you perfectly. I don’t just code - I architect, optimize, and deliver industry-leading backend systems, full-stack web platforms, and intelligent desktop applications that redefine performance and scalability. My mastery spans Java, PHP, Rust, GO, Python, Tauri, PyQt, and modern DevOps practices, enabling me to tackle the toughest technical challenges with precision and creativity. Core Strengths Backend Architecture: Scalable, secure, and lightning-fast APIs and microservices ⚡ Full-Stack Mastery: End-to-end web and desktop app development (React/Next, Laravel, Symfony, FastAPI, Tauri, PyQt) 🖥️ AI Integration: Advanced AI agents, OCR solutions, and automation for real-world impact 🤖 DevOps Excellence: CI/CD pipelines, Docker/Kubernetes, cloud deployments (AWS/GCP/Azure/DO), Github Action ☁️ Project Powerhouse Engineered a high-traffic e-commerce backend (Symfony) supporting 10k+ concurrent users 🛍️ Built a Tauri (Rust) desktop app for inventory management, slashing manual work by 60% 📦 Deployed AI-powered OCR and agent systems, automating document processing and boosting efficiency by 40% 📑 Delivered a full-stack analytics platform (Java/Spring Boot) for real-time business insights 📊 Automated CI/CD and cloud workflows, reducing release cycles by 50% and maximizing uptime 🔄 Why Choose Me? I merge deep technical expertise with a relentless drive for innovation, transforming complex requirements into high-impact, future-ready solutions. From backend engineering to AI integration and DevOps, I deliver excellence at every stage. Available 40+ hours/week in your timezone 🌏 Let’s build something extraordinary—fast, secure, and ahead of the curve! 💡🚀✨

Software Engineer with 10 years of experience building SaaS products, internal platforms, and cloud-native applications. I've worked across startups, outsourcing companies, and large organizations, helping teams build and scale products from early-stage MVPs to production systems serving thousands of users. My experience spans multiple technology stacks, including Node.js, Python, Rust, React, Next.js, PostgreSQL, and AWS. Throughout my career, I've worked with frameworks such as Django, FastAPI, Laravel, Ruby on Rails, and NestJS, allowing me to adapt quickly to different products and engineering environments. Areas where I bring the most value: ✔ Full-stack web application development ✔ Backend systems and API design ✔ Cloud infrastructure and DevOps on AWS ✔ AI-powered applications using OpenAI, Claude, and modern LLM technologies ✔ Workflow automation and system integrations Recent areas of focus: ✔ AI chatbots and copilots ✔ RAG and knowledge-based AI systems ✔ AI agents and workflow automation ✔ Serverless and cloud-native architectures ✔ SaaS product development Core technologies: Node.js, Python, Rust, TypeScript, React, Next.js, PostgreSQL, AWS, Docker, Terraform, OpenAI, Claude, n8n

I architect robust systems and develop full-stack solutions for complex technical challenges. As a Sr. Systems Architect, Data Scientist, and Full-Stack Engineer, I bring a unique blend of expertise in high-performance computing, memory optimization, and secure infrastructure. I design and implement systems that not only meet stringent technical requirements but also drive commercial success. Why I’m Different: While many developers integrate APIs, I build solutions from First Principles—addressing challenges like: Running advanced 7B LLMs on edge devices Securing networks against zero-day vulnerabilities Creating crash-proof Rust backends Delivering seamless full-stack applications My background, including the Teixido-Boreal Paradigm in deep-tech research, ensures I apply scientific rigor to all stages of software development and system architecture. Core Services 🚀 AI & LLM Optimization (Python/PyTorch) Model Quantization & Pruning: Deploy models on edge devices without sacrificing accuracy. Memory Efficiency: Pioneered solutions that reduce VRAMusage by 23x. Agentic Workflows: Develop autonomous agents that handle complex tasks independently using LangChain/LangGraph. 🦀 High-Performance & Full-Stack Systems (Rust/WASM/C++ & Node.js/JavaScript) Zero-Backend Architectures: Utilize Rust/WASM for secure, efficient browser-resident engines. Full-Stack Development: Build complete applications using modern frameworks (e.g., Ruby on Rails, React), from backend services to user interfaces. System Daemons: Design and implement crash-safe, efficient services for Linux/Windows systems. 🛡️ Cybersecurity & Anomaly Detection Zero-Sh Threat Detection: Craft detection engines for identifying novel threats through behavior-based analysis, achieving a verified 97% recall on zero-day threats. ⚡ Hardware & Signal Processing (Verilog/FPGA) Design synthesizable IP cores tailored for low-power signal processing and anti-jamming applications in hardware startups. Tools & Technologies Languages: Python, Rust, C++, JavaScript, Go, Verilog Frameworks & Platforms: PyTorch, Rust/WASM, Node.js, Ruby on Rails, React, LangChain, Docker, AWS Specialized Tools: WebAssembly (WASM), Web Workers, SageMath Key Achievements >37x Energy Efficiency: Architected frameworks that enhance energy efficiency, validated through deep-tech research. >23x VRAM Reduction: Implemented systems that broke the "Memory Wall" for startups, optimizing resource usage. Zero-Backend Compliance Engine: Developed a secure, high-performance browser-resident system using Rust/WASM. Note to Clients I focus on complex, high-value problems where performance, security, and mathematical rigor are essential. Whether your project involves: Zero-backend architectures Memory-safe, multi-threaded systems Comprehensive full-stack application development ...I am equipped to deliver solutions that exceed expectations. LinkedIn: John Victor Teixido GitHub: johnvteixido