Senior Software Engineer with a strong foundation in full-stack Web3 engineering, now focused on building AI-native applications, AI agents, and LLM-powered automation systems. My background started with blockchain, DeFi, smart contracts, and full-stack product development, and has evolved into AI architecture, LLM integration, agentic workflows, and intelligent software systems. Experienced in designing and delivering scalable applications using React, Next.js, Node.js, TypeScript, GraphQL, PostgreSQL, Supabase, and cloud-based infrastructure. Strong hands-on experience with Web3 platforms, smart contract integrations, wallet-based applications, DeFi systems, and blockchain data workflows. Currently focused on AI agent development and LLM orchestration, including OpenAI API, Anthropic Claude API, Claude AI, AWS Bedrock, LangChain, MCP, RAG pipelines, prompt engineering, tool-calling agents, workflow automation, and AI-powered backend systems. Skilled at connecting AI models with real business workflows, databases, APIs, blockchain data, and user-facing applications. My recent work includes STXAI, an AI-powered multi-chain token launchpad and trading intelligence platform that combines AI, blockchain analytics, real-time market data, wallet tracking, smart-money monitoring, and full-stack Web development. This project reflects my current direction: combining AI agents, LLMs, Web3 infrastructure, and scalable software architecture into practical products. I bring both technical depth and product-level thinking, with the ability to architect systems, guide engineering decisions, integrate modern AI tools, and deliver production-ready software. I’m especially interested in projects involving AI agents, LLM applications, workflow automation, AWS Bedrock, Anthropic Claude, OpenAI, MCP, Supabase, and blockchain-enabled intelligence platforms.

If your system needs to process thousands of orders per second without dropping a message or corrupting state, that's the problem I solve in Rust. I've built order matching engines with price-time priority, market data pipelines that hold up under load, and backtesting engines with clean separation between strategy logic and execution. My work sits at the intersection of async Rust, low-latency design, and financial systems where being almost correct isn't good enough. I work with Tokio for async runtimes, think carefully about lock-free data structures, and treat determinism as a requirement not a nice-to-have. I don't copy-paste from Stack Overflow. I read RFCs, understand the borrow checker deeply, and write code that won't surprise you at 3am. If you're building an exchange, a trading bot, or financial infrastructure that needs to be fast and correct, let's talk.

I've been developing software in Linux with Rust since 2015. In 2018, I was hired by System76 to use my expertise as a Pop!_OS developer and maintainer. This has enabled me to work on projects in a variety of domains with Rust. As a result, I am comfortable working in virtually every kind of project. Whether developing custom libraries for a niche system; system services using DBus, gRPC, or a custom protocol over a socket; desktop applications with GTK4, Tauri, or libcosmic; or any form of dev ops. As a Linux maintainer, I have gained a lot of experience with managing git repositories, reviewing and merging pull requests from contributors, rebasing forks against upstream changes, creating distribution and flatpak packaging, managing Docker/Podman containers, developing and managing CIs, and more. As an extension of my experience with Linux, IT, and software development; I also maintain my own personal dedicated server as a hobby. Through this I self-host my own email server, Forgejo git instance, and many other web apps and services publicly on the Internet. For the last few years, I've been working on building the Rust-based COSMIC desktop environment. Where most of my contribution has been working on its desktop-native cross-platform GUI toolkit: libcosmic. Based on iced, it features an Elm-style API and integrates modern desktop Linux features out of the box.

🔧 I Build Scalable Web Apps, Intelligent Systems & Secure Blockchain Solutions — End to End. With 8+ years of experience, I help startups and enterprises turn ideas into production-ready tech. Clients hire me because I: ✅ Deliver fast without cutting corners (check my 5/5 Upwork streak) ✅ Explain tech in plain English—no jargon, just solutions ✅ Fix hidden problems (like that smart contract bug 3 other devs missed) 🛠 What I Bring to Your Project 1. Full-Stack Web Development Frontend: React, Next.js, Flutter (PWA/mobile-friendly) Backend: Node.js, Django, Microservices, REST/GraphQL APIs DB/DevOps: MongoDB, PostgreSQL, AWS, Docker, CI/CD 2. Blockchain (Bonus) Smart Contracts: Ethereum/Solana (Solidity, Rust) Web3 Apps: DeFi, NFTs, DAOs + MERN stack integration Private Chains: Hyperledger Fabric, IPFS 3. AI/ML (When You Actually Need It) Computer Vision: OpenCV, YOLO, ResNet (e.g. inventory tracking) LLMs: ChatGPT plugins, RAG pipelines, custom GPT wrappers MLOps: SageMaker, Azure ML for scalable model deployment 💬 Why Clients Keep Coming Back ✅ 100% on-time delivery on all Upwork projects (all 5-star rated) ✅ “Clean code first” mindset—your team can actually maintain my work ✅ AI/Blockchain pragmatism: I’ll tell you when it’s overkill 🚀 Recent Projects ✅ Blockchain Supply Chain Tracker: Hyperledger + React ✅ AI Document Reviewer: Node.js API + LLM for legal docs ✅ SaaS Platform at Scale: 50K users using AWS Lambda

With 6+ years of experience in smart contract development and blockchain protocol engineering. My expertise spans Ethereum smart contracts, Solana programs, DeFi protocol architecture, and token launch platforms. I excel at building secure, gas-optimized smart contracts from ERC token standards to complex DeFi mechanisms and memecoin launch platforms like Pump.fun. Whether it's developing trading bots, yield farming protocols, or cross-chain bridges, I deliver audited smart contracts that handle millions in transaction volume. Languages: - Solidity: Smart contracts, DeFi protocols, gas optimization - Rust: Solana programs, Anchor framework, SPL tokens - JavaScript/TypeScript: Web3.js, Ethers.js, dApp development - Python: Trading scripts, data analysis, automation Databases & Storage: - PostgreSQL, MongoDB, Redis - Graph Protocol, IPFS, Arweave Smart Contract Development: - ERC Standards: ERC-20/721/1155, proxy patterns, upgradeable contracts - DeFi Protocols: AMMs, yield farming, lending, flash loans - Token Launches: Pump.fun integration, bonding curves, fair launch - MEV Protection: Sandwich attack prevention, front-running protection - Cross-chain: LayerZero, Chainlink CCIP, Wormhole - Security: Smart contract auditing, vulnerability assessment - Governance: DAO mechanisms, voting contracts, staking protocols Solana Development: - Anchor framework, SPL token programs - Metaplex NFT standards, PDA management - Cross-Program Invocation (CPI) - Rent optimization, compute unit efficiency Development Tools: - Frameworks: Hardhat, Foundry, Anchor, Truffle - Testing: Slither, Mythril, Forge - Web3 Libraries: Ethers.js, Web3.js, @solana/web3.js - Infrastructure: Infura, Alchemy, Helius, QuickNode - Wallets: MetaMask, Phantom, WalletConnect - Oracles: Chainlink, Pyth Network Blockchain Platforms: - Ethereum: Mainnet, Layer 2 solutions - Layer 2: Polygon, Arbitrum, Optimism, Base - Solana: SPL tokens, Anchor programs, Pump.fun - Alt Chains: BSC, Avalanche, Fantom, Near Protocol DeFi Specializations: - AMM development (Uniswap V2/V3, custom DEX) - Token economics, memecoin development - Trading bots (arbitrage, copy trading, snipers) - Launchpad platforms Infrastructure: - Cloud: AWS, Google Cloud, Vercel - CI/CD: GitHub Actions, automated testing - Monitoring: Prometheus, Grafana - Blockchain nodes: Ethereum full nodes, Solana validators

I’m a Solution Architect with 6+ years of experience building reliable, scalable software systems. My main focus is on Rust backend development, but I also design cloud solutions, automate infrastructure, and help teams turn business needs into working products. What I do: - Design and build backend systems with Rust (using Rocket, Axum, Actix-web) and databases like PostgreSQL and Redis - Create APIs, microservices, and event-driven systems that are fast, secure, and easy to maintain - Lead cloud projects and automate deployments with AWS, GCP, Terraform, and CI/CD pipelines - Work closely with clients and teams to make sure solutions fit their needs and are delivered on time Key skills: Rust, WebAssembly, GraphQL, cloud architecture, automation, microservices, SQL, Supabase, distributed systems, Prometheus, Grafana, CI/CD, Terraform, AWS, GCP. I’m committed to clear communication and practical results. Let’s talk about how I can help you build the right solution for your project.

I am an experienced Senior AI / LLM engineer and applied machine learning practitioner with 20+ years of engineering and analytical experience. I work with real-world LLM systems, focusing on how models actually behave in practice — under ambiguity, pressure, and adversarial input — not how they are described in documentation. Core focus Applied LLM engineering & evaluation black-box testing of LLM systems stress-testing for hallucinations, authority leakage, and overconfidence diagnostic vs prescriptive behavior analysis ambiguity handling and failure mode detection Machine learning and data-driven analysis Large-scale data processing, validation, and reliability I evaluate systems by observed behavior, not by stated intent. Claims such as “non-prescriptive”, “diagnostic-only”, or “non-authoritative” are treated as hypotheses to be tested, not assumptions. Background that matters My background includes years of building production systems, analytical models, and financial forecasts used in high-stakes environments. I have operated at executive and government level, where correctness, restraint, and accountability are mandatory. This experience allows me to reason rigorously, detect subtle failure modes, and remain disciplined under uncertainty.

I'd describe myself as being very resourceful and ambitious at the same time. I seem to be very good at intuitively finding solutions to scientific problems(Maths & Software design) . I've strive to complete software development and data science projects with great quality . Skills: Algorithm implementation Programming Languages (C#,Python, C++, Rust) Cloud Computing Quantitative research Entrepreneurship Data scientist Mathematical modelling Project Management Ai & Deep Learning Research

25 years in fintech and banking — the last 5 deep in production AI. From Oracle and IBM enterprise systems to hands-on CTO and Lead Engineer of a live EU payments platform, to production AI in regulated environments. I don't build demos. I build systems that run under load, with real financial consequences. Recent production builds: → RAG platform processing 1M documents (ColPali + BGE) - 5 enterprise deals → Fraud detection ML for Raiffeisen Bank Austria - 70% loss reduction, 100k txns/month → Fine-tuned LLM Knowledge Assistant - deployed to 5 enterprises Fintech AI: fraud detection · KYC/AML · credit scoring · open banking · PSD2 · Stripe/Plaid AI systems: RAG pipelines · LLM agents · HITL workflows · computer vision (YOLO, VLMs) Stack: Python · PyTorch · LangChain/LangGraph · FastAPI · React/Next.js · CISSP certified Available for production AI and fintech engagements. EU-based, immediate start.

With years of experience as a Full Stack Developer, I specialize in: - Front-End Development: HTML, CSS, JavaScript and Reactjs - Back-End Development: Node.js, Python (Django/Flask, Odoo Customization), Rust, Solidity - Cross- Platform Mobile App Development using Kotlin - Database Management: MySQL, PostgreSQL, MongoDB - Cloud Services: AWS, Azure, Google Cloud - DevOps: Docker, Kubernetes, CI/CD, Jenkins I am passionate about building scalable and efficient applications that deliver a seamless user experience. Let's collaborate to bring your vision to life!