Proven expertise in Rust programming for high-performance, reliable systems. Proficient in systems programming, functional programming, and concurrent programming. Skilled in optimizing code for performance and security. Experienced in full-stack development, from back-end services to front-end applications. Strong problem-solving and communication skills.

I optimize broken, slow, or expensive LLM inference and RAG pipelines for production, backed by 10 years at Microsoft and a Cambridge PhD in Computer Science. If your runtime is hitting latency walls, your retrieval is hallucinating, or your agents fail on complex schemas, I work at the systems layer underneath your AI stack to make it fast, accurate, and reliable at scale. TRACK RECORD - Cut LLM session latency by 541 seconds through custom KV cache save/restore built in Rust and CUDA - Built a real-time retrieval and classification engine running at 95%+ accuracy in production - Developed an autonomous AI agent querying enterprise SQL databases with millions of records (5-star client rating) - Implemented SMT-based formal verification to catch LLM reasoning failures before they reach users "Excellent with deep expertise in AI safety and formal verification. Delivered a robust system for validating LLM reasoning using formal methods and SMT solving." — client review LLM INFERENCE AND RUNTIMES vLLM, TensorRT-LLM, llama.cpp, Ollama, MLX, GGUF, KV cache optimization, speculative decoding, continuous batching, tensor and pipeline parallelism, LoRA, QLoRA, PEFT, DPO, RLHF, quantization (AWQ, GPTQ, GGUF), CUDA, cuDNN, NCCL, multi-GPU inference RAG AND RETRIEVAL Qdrant, Pinecone, FAISS, Milvus, ChromaDB, hybrid search, dense retrieval, BM25, GraphRAG, knowledge graphs, chunking strategy, re-ranking, query expansion AGENTS LangChain, LangGraph, MCP, function calling, tool use, long-term memory, self-correction and reflection loops, multi-agent coordination SYSTEMS AND COMPILERS Python, Rust, C++, C, LLVM, MLIR, static analysis, SIMD, lock-free concurrency, kernel profiling, custom CUDA operators, JIT/AOT execution Why teams bring me in: I have the compiler and static analysis background to know if a system is actually correct, not just running. Ten years at Microsoft means I build for production, not demos. And I can go end to end, from a CUDA kernel up to the agent orchestration layer. Tell me what you're building and where it's breaking or slowing down. Areas I work across: Large Language Model (LLM), Retrieval Augmented Generation (RAG), AI Agent Development, CUDA, Rust, vLLM, TensorRT, LangChain, PyTorch, Model Optimization, Vector Database, C++, Python, Machine Learning, MLOps, Natural Language Processing, Hugging Face, GPU Computing, LLVM, Fine-Tuning.

I build custom trading bots, algorithmic trading systems, and blockchain infrastructure for crypto, forex, stocks, futures, and options, along with smart contracts, DeFi protocols, and automated execution that runs faster, cleaner, and more reliably than what you are running today. I lead a 35+ person team focused on trading automation, blockchain development, smart contracts, AI powered execution, and full stack development, trusted by hedge funds, prop trading firms, DeFi protocols, Web3 startups, and independent traders worldwide. If your setup is too slow, too rigid, or breaks when markets move, that is exactly what I fix. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝: 👉 Custom Trading Bots and Algorithmic Trading Systems: Execution engines for crypto, forex, stocks, futures, options, and commodities. Sniper bots, arbitrage bots, grid trading, scalping bots, market making engines, copy trading, signal bots, MEV bots, and fully automated strategies. Python, Node.js, Rust, MQL4/MQL5. Sub 300 ms latency. Solana sniper bots, cross exchange crypto arbitrage, futures scalping, and options execution. 👉 Blockchain and Smart Contract Development: Solidity and Rust smart contracts for Ethereum, Solana, Base, BSC, Polygon, and Arbitrum. Tokens: ERC-20, BEP-20, and SPL with vesting, presale, and tokenomics design. NFT contracts: ERC-721 and ERC-1155 with minting, royalties, and marketplace integration. DeFi protocols: DEXs, AMMs, staking platforms, liquidity management, lending, yield farming, flash loans, and cross-chain bridges. Gas-optimized, audit-ready code built on OpenZeppelin standards, with full test coverage in Hardhat, Foundry, and Anchor, smart contract review and security hardening, and staged testnet-to-mainnet deployment. dApp development end to end: wallet integration (MetaMask, Phantom), Web3.js, Ethers.js, Solana Web3, Chainlink oracles, indexers, and subgraphs, plus AI assisted on-chain monitoring and anomaly detection. 👉 Broker and Exchange Integrations: Direct API integration with Binance, Bybit, KuCoin, Coinbase, Kraken, OKX, MEXC, Hyperliquid, Interactive Brokers (IBKR/TWS), Alpaca, TradeStation, Schwab, OANDA, FXCM, cTrader, DXTrade, Tradovate, and NinjaTrader. REST APIs, WebSocket feeds, and FIX protocol. Low latency order routing, order book parsing, multi broker orchestration, and 24/7 uptime. DEX: Uniswap, Raydium, Jupiter, PumpFun, PancakeSwap, SushiSwap. 👉 MetaTrader and Expert Advisor Development: Custom EAs for MetaTrader 4 and MetaTrader 5 in MQL4/MQL5. Forex trading bots, scalping EAs, news trading bots, hedging systems, and risk management. MT4 and MT5 bridges to external APIs, copy trading systems, and signal services. Full backtesting, optimization, and deployment. 👉 TradingView, PineScript, and Webhook Automation: Custom PineScript indicators and strategies, webhook to broker execution pipelines, and alert based trading systems. TradingView signals connected to any broker or exchange, from alert forwarding to multi leg strategy automation. 👉 AI Enhanced Trading and Quantitative Systems: AI signal processing, pattern recognition, sentiment analysis, technical analysis engines, and adaptive execution. Backtesting with PnL analytics, drawdown tracking, and Sharpe optimization using pandas, NumPy, scikit learn, TensorFlow, backtrader, and vectorbt. Predictive ML models and reinforcement learning execution. Systematic trading, mean reversion, momentum, and trend following. I build the system, you keep the alpha. 👉 Telegram Bots, Discord Bots, and Dashboards: Telegram trading bots with alerts, one click execution, portfolio tracking, and whale watching. Discord bots with signal forwarding, copy trading, and moderation. Web dashboards with live charts, analytics, and multi-exchange views. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, Node.js, Rust, Solidity, JavaScript, TypeScript, MQL4, MQL5, PineScript. 𝐁𝐥𝐨𝐜𝐤𝐜𝐡𝐚𝐢𝐧: Web3.js, Ethers.js, Solana Web3, Anchor, Hardhat, Foundry, Truffle, OpenZeppelin, Chainlink 𝐀𝐈 𝐚𝐧𝐝 𝐌𝐋: TensorFlow, PyTorch, scikit learn, pandas, NumPy, OpenAI API, NLP, LLM 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: MetaTrader 4, MetaTrader 5, TradingView, Interactive Brokers TWS, QuantConnect, NinjaTrader, TradeStation, Alpaca, cTrader, MultiCharts 𝐄𝐱𝐜𝐡𝐚𝐧𝐠𝐞 𝐀𝐏𝐈𝐬: Binance, Bybit, KuCoin, Coinbase, Kraken, OKX, Hyperliquid, IBKR, Alpaca, OANDA, FXCM, Schwab, Uniswap, Raydium, PumpFun, Jupiter, CCXT Backtesting: backtrader, vectorbt, Zipline, QuantConnect. 𝐋𝐄𝐀𝐍 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: AWS, Docker, Redis, RabbitMQ, PostgreSQL, MongoDB, WebSockets, Kafka 𝐖𝐡𝐚𝐭 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞 𝐅𝐨𝐫: Crypto trading bots. Algorithmic trading for forex, stocks, futures, options, and commodities. Expert Advisors for MetaTrader. Smart contracts and DeFi protocols in Solidity and Rust. Token and NFT development. dApp builds and Web3 platform infrastructure. Smart contract review, gas optimization, and security hardening.

I'm a backend engineer who builds real, production-grade systems and integrates AI where it adds measurable value — not a prompt-wiring generalist and not AI-buzzword chasing. I work primarily in Python, Rust, and TypeScript/Node.js, with real production experience in C#/.NET as well. My core backend work: authentication and API layers built with real security discipline (JWT-based auth, proxy-layer rate-limiting, stress-tested at 64 concurrent connections with 99-100% success), event-driven and real-time data pipelines (gRPC feeds, Redis-backed session state), and SQL-based data modeling. I deploy with Docker and CI/CD, and I write regression tests that encode the specific bug being fixed, not just a passing case — so a fixed issue can't silently reappear. On the AI side, I build real infrastructure, not just API calls: I've built and verified my own MCP server from scratch (Python, tree-sitter-based code intelligence for Claude Code, checked against known-correct output before I trusted it), a real-time voice AI agent with genuine barge-in and turn orchestration (LiveKit, Deepgram, Claude, ElevenLabs, load-tested to 100 concurrent sessions), and production Claude API integrations with proper auth and session handling. I've also shipped a complete subscription SaaS product end to end — a .NET/Avalonia Windows desktop app paired with an ASP.NET Core backend and Stripe billing — delivered and 5-star reviewed by the client. I communicate clearly, work in small verifiable increments, and I'm direct about what I've actually built versus what I'd need to learn — I'd rather tell a client the truth upfront than have it surface later. If you need an engineer who combines real backend rigor with genuine AI integration experience, I can help you ship something that actually works.

Hello and welcome to my profile!🤝🙂 🔥I help startups and global businesses build, scale, and support AI SaaS products as a lead full stack developer and mobile app developer so you don't need to assemble a full team just to get moving. If your project needs a highly interactive frontend built by a specialist react developer, or use Vue and Angular, a scalable .NET or Golang architecture, a custom CMS handled by a senior wordpress developer, or a dedicated Back End Developer building secure Rust and Solana microservices, I cover it as your full stack developer and software developer, so you get one point of ownership instead of five disconnected specialists. My deep expertise in JavaScript, PHP, and AI integrations, combined with an understanding of SaaS sales and SaaS marketing, means the SaaS applications I build are engineered to actually convert and scale, not just function. ⭐ Certified full stack developer, React developer, software developer, & SaaS developer Top Rated+ 🏆100% full stack developer Success for every SaaS contract utilizing React, Vue, Angular, Node.js, Python, Golang, Rust ⭐ 5-star Rating for web, mobile app developer projects, AI, Web3 Solana, and SaaS 💰 $300K+ earned delivering excellence as an elite full stack developer, web developer, software developer, and wordpress developer. Whatever stage your product is at, I bring extensive full stack developer and software developer expertise across Web, Mobile, and SaaS platforms to get you there, seamlessly integrating AI models and Web3 components (including Solana smart contracts) into robust web systems built for your business. Whether architecting a new SaaS platform in .NET, optimizing core financial engines in Rust or Golang, deploying a custom theme as a wordpress developer, boosting technical infrastructure for FinTech, MarTech, PropT SaaS products, or scripting in Python for complex data processing. My full stack developer and SaaS developer approach covers every Web, Mobile, AI, Data, Web3 projects domains. My skills as a full stack developer, React developer, data developer, SaaS developer, web developer, mobile app developer, and back end developer: ✅React (lead react developer, MERN stack) ✅Vue ✅Angular ✅Node.js ✅Python ✅Golang ✅.NET (Web APIs, legacy migrations) ✅Rust (memory-safe modules, solana ecosystems) ✅PHP (stable databases) ✅JavaScript (core & advanced ecosystems) ✅WordPress / Custom CMS ✅AI Adoption & Integrations ✅Web3 / Solana smart contracts ✅iOS/Android (mobile app developer) ✅Agile & Scrum/Kanban delivery Stack of technologies I use as your full stack developer: ✅ Frontend: React, Vue, Angular ✅ Backend & APIs: Node.js, .NET Web APIs, Golang, PHP ✅ Data & scripting: Python (complex data processing) ✅ Blockchain: Rust-based Solana microservices, Web3 smart contracts ✅ CMS: bespoke WordPress builds and custom themes ✅ AI: model integrations for smart SaaS features ✅ Mobile: iOS/Android builds as mobile app developer By combining core JavaScript advanced React/Vue/Angular ecosystems scalable Node.js and Golang microservices, stable PHP databases, and smart AI features, I deliver exactly what you need from a top-tier full stack developer, cross-platform mobile app developer, software developer, and Back End Developer. Industries where I bring solid full stack developer, software developer, and SaaS developer experience: ✅AI Development, AI Agents, AI Integration, Web3, Blockchain ✅Data Engineering (Cloud, AI, ML, Vector, SQL, NoSQL) ✅Finance (FinTech SaaS, data analytics via Python, Golang, Rust) ✅PropTech (SaaS, CRM, Rich UIs via JavaScript, Vue, Angular, React) ✅HRTech/EdTech (SaaS solutions) ✅Travel/Hospitality (SaaS platforms) ✅eCommerce (web portals via .NET, PHP) As a dedicated lead React full stack engineer, react engineer, Node.js Architect, Back End Developer, and strategic SaaS developer, I blend AI performance, Golang APIs, and Rust (including Solana blockchains) into your traditional SaaS workflows — as your full stack developer, web developer, and mobile app developer, all in one. 🔥 Backed by certification as a Full Stack developer Engineering and Solution Architect Expert (Ph.D. CS, PMP, CSP, CSM, CSPO, ICP-PPM, MCP), I deliver Agile/Scrum SaaS solutions as a lead full stack developer, dedicated react developer, software developer, and saas developer focused on turning your web, AI, React, Vue, angular, Rust,Solana, Golang, and .NET goals into a shipped product. 🔥 Managing cross-functional teams as a full stack developer, I ensure strict coding best practices across dynamic React, Vue, and angular UIs, iOS/Android builds guided by a senior mobile app developer, Node.js, Golang, and PHP backends, Web3 Solana integrations, legacy .NET migrations, bespoke CMS builds managed by a wordpress developer, and sophisticated Python integrations designed to maximize your product business ROI. *Updated: 14.09.26

I build, scale, and optimize high-performance SaaS platforms and AI-powered web applications. From complex Rust backends to modern Next.js frontends, I help founders launch MVPs in 4-8 weeks. Building a successful software product requires more than just writing code — it demands thoughtful architecture, clear system design, and a product-first engineering mindset. Most companies and product teams face at least one of these challenges: • they need to build a complex SaaS platform but lack full-stack expertise • their current product struggles to scale as the user base grows • development slows down because of technical debt or weak architecture • they want to integrate AI workflows but are unsure how to implement them This is where I step in. I design and engineer end-to-end full-stack systems that support real business growth, ensuring scalability, security, and maintainability. 🏆 RESULTS I’VE DELIVERED FOR CLIENTS Projects I’ve built consistently deliver measurable outcomes: • launched SaaS platforms and MVPs in 4–8 weeks, accelerating time-to-market • reduced development and feature-release timelines by 40–60% • automated operations (ETL, API integrations), saving teams 15–25 hours weekly • scaled platforms to smoothly support 10K–50K+ active users • reduced cloud infrastructure costs by up to 30% through backend optimization 💻 WHAT I BUILD My focus is full-stack software development and SaaS architecture. Typical projects include: • end-to-end SaaS platforms (multi-tenant architecture, billing, auth) • AI-powered applications and intelligent automation workflows • Custom CRM & ERP Systems: Building scalable customer management tools with lead tracking, task automation, and custom internal workflows. • high-performance web applications and operational dashboards • scalable backend systems and robust API infrastructure • complex third-party API integrations (Odoo, CRMs, Payment Gateways) ⚙️ MY TECH STACK & EXPERTISE • Backend & Core: Rust (Tokio, Actix/Axum), Node.js, Python, Tauri • Frontend: Next.js, React.js, TypeScript, JavaScript, Tailwind CSS • AI & APIs: OpenAI API, Gemini, Claude, REST APIs, GraphQL • Databases: PostgreSQL, Supabase, MongoDB, Redis, SQLite • Infrastructure: AWS, GCP, Docker, Kubernetes, GitHub Actions (CI/CD) 🎯 TYPICAL DEVELOPMENT SCENARIOS End-to-End SaaS Development Building a SaaS requires connecting multiple layers securely. I help teams design database schemas, robust APIs, and modern frontends while integrating subscription billing (Stripe) and deploying to scalable cloud infrastructure. AI Integrations & Feature Expansion Many products want to leverage AI to increase value. I build AI-driven features like chat assistants, automated content generation, intelligent search (RAG), and data analysis tools directly into existing workflows. Business Automation & Internal Tools Companies often outgrow spreadsheets. I build internal web applications and perform ETL (Extract, Transform, Load) processes that automate operations, connect fragmented systems (like Odoo), and provide clear operational dashboards. 🔄 MY DEVELOPMENT PROCESS To deliver reliable software fast, I follow a structured workflow: Step 1: Requirements & Planning Defining business logic, user flows, and technical requirements. Step 2: Architecture & Database Design Designing scalable backend architecture and secure data models. Step 3: Full-Stack Development Building frontend interfaces and backend services with clean, maintainable code. Step 4: Deployment & Optimization Setting up cloud infrastructure (Docker/AWS), CI/CD pipelines, and monitoring. 🤝 WHO I WORK WITH Most of my clients include: • SaaS startups launching new platforms • product teams needing senior full-stack expertise without the agency overhead • established businesses optimizing internal operations Typical project budgets range from $5K to $50K depending on scope and complexity. 💡 WHY WORK WITH ME? Beyond writing code, I bring product vision, fluent English, and transparent communication. I collaborate closely with founders to translate ideas into technical milestones, avoiding architectural mistakes that kill growth later. My goal is simple: build software that performs reliably today and continues to scale as your users, data, and business grow. 📩 IF YOU’RE WORKING ON: • a new SaaS platform • an AI-powered web application • a complex backend architecture • a business automation system Reach out and share your project details. Let's discuss the best technical approach for your product!

Most backend systems don't fail because of bad developers. They fail because of architectural decisions made too early, under pressure, without a long-term plan. I'm a Systems Architect with 5+ years building production-grade platforms at Ramsey Diagnostic Corporation, where I led architecture for computer vision pipelines, regulated healthcare workflows, billing systems, and internal developer tooling. These weren't greenfield experiments. They were high-stakes systems that had to work reliably, scale cleanly, and survive years of changing requirements. I specialize in Rust backend systems and distributed architecture, with deep experience extending into AI infrastructure and blockchain. If you're building something that needs to last, not just ship, that's where I do my best work. 🏆 What I'm known for: - Designing distributed systems with clear service boundaries that don't collapse under growth - Building high-concurrency Rust backends (Actix Web, Tokio) that handle real production load - Integrating AI into backend systems that actually work: RAG pipelines, LLM tooling, vector search - Decomposing legacy monoliths into maintainable service-based architectures - Solana and Ethereum contract systems with secure off-chain backend integration 💼 Where I've made a difference: At Ramsey Diagnostic Corporation, I led architecture for a computer vision production pipeline operating under strict healthcare compliance requirements. I designed the workflow orchestration layer, built the billing and operational backend, and created internal developer tooling that reduced friction across engineering teams, all within a regulated environment where reliability wasn't optional. 🎯 I work best on projects like: - Rust microservices + PostgreSQL backend systems - RAG pipelines and LLM-backed internal platforms - Legacy system decomposition and backend modernization - Workflow orchestration and event-driven architecture - PostgreSQL performance tuning for large-scale data systems - Observability setup: logging, monitoring, distributed tracing - Solana smart contract + backend API systems - Ethereum contract architecture + off-chain service design 🛠️ Technical Stack: Rust · Actix Web · Tokio · Diesel ORM · Python · FastAPI · PostgreSQL · pgvector · Qdrant · Redis · Docker · AWS · Azure · GCP · CI/CD · Linux · RAG · LLM Integration · Solana · Anchor · Ethereum · Solidity

I help businesses build production-grade AI systems that are fast, scalable, and engineered for real-world use. With over 10 years of experience in software engineering, I specialize in designing AI infrastructure, CUDA-accelerated applications, Retrieval-Augmented Generation (RAG) systems, AI agents, and high-performance backend platforms that power reliable AI products. Core Areas of Expertise • CUDA & GPU Programming • AI Infrastructure Engineering • Rust Systems Programming • Python Development • Retrieval-Augmented Generation (RAG) • AI Agents & Multi-Agent Systems • LLM Applications & Orchestration • AI Inference Optimization • Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate) • LangChain & LlamaIndex • Distributed Systems • Backend APIs & Microservices • Parallel Computing • Performance Optimization Every System I Build Is Designed To Be • High-performance • Scalable • Efficient • Reliable • Secure • Production-ready From document ingestion pipelines and embedding generation to semantic search, vector indexing, AI inference, GPU optimization, and cloud deployment, I build end-to-end AI systems that are designed for production rather than proof-of-concept. My focus is always on delivering solutions that remain maintainable, observable, and performant as they scale. Whether you need to build an enterprise RAG platform, optimize GPU workloads with CUDA, develop high-performance services in Rust, create intelligent AI agents, or architect scalable AI infrastructure from the ground up, I can help transform your ideas into reliable production systems. I believe great AI products are built on strong engineering foundations. That is why I focus not only on implementing AI capabilities but also on designing the infrastructure, architecture, and backend systems that ensure those solutions are fast, resilient, and ready for real-world workloads. If you are looking for an engineer who understands both modern AI and the systems that power it, send me a message, and let’s discuss how we can make it happen!

High-performance backends. Decision engines. AI factories. Computer vision. Real-time systems. From UI/UX-heavy MVPs to full-stack platforms built for the traffic that comes after launch day, not just during it. Rust, C++, and 5+ languages. 100,000+ concurrent WebSocket connections -- in production. A 12-week roadmap shipped in 4. 30 senior engineers. Dedicated project teams, not rotating freelancers. Every engagement starts with a paid Discovery phase -- we scope the architecture before we write a line of code. Not a fit: no-code workflows, or projects solvable with Zapier. WHAT I BUILD - High-Performance Backends: Production backends with actix-web, axum, and Tokio -- millions of requests/day, zero GC pauses. REST, GraphQL, WebSocket, and gRPC services for throughput and latency-sensitive workloads. - Full-Stack Platforms: React, Next.js, TypeScript frontends with production backends -- SaaS, MVPs, and custom web applications from architecture to deployment. Designed for 1K to 100K concurrent users without a rewrite. - Autonomous AI Agents: Agentic pipelines with OpenAI and Anthropic Claude -- lead qualification, data analysis, customer support running 24/7. Multi-step reasoning, error recovery, state persistence. 11+ projects for one client. - Computer Vision: Object detection, tracking, real-time inference, OCR, document processing -- CUDA-optimized, deployed as production APIs or edge devices. Not Jupyter notebooks. - Real-Time 3D & Visualization: WebGL and WebGPU rendering -- product configurators, data dashboards, architectural viewers at 60fps in-browser on mid-range hardware. - Data Pipelines: Rust-native processing with Polars and DataFusion -- replacing Python/JavaScript bottlenecks. Kafka streaming, PostgreSQL persistence. - Cloud & Infrastructure: AWS, GCP, Azure with Terraform and Kubernetes -- auto-scaling, zero-downtime deployments, infrastructure-as-code. RECENT OUTCOMES - Crypto trading platform dropping connections above 8,000 users. Rebuilt proxy in Rust, Tokio, Kubernetes -- 100,000 connections at under 10ms, zero crashes. - GovTech blockchain payment router on Go. Rebuilt IAVL Tree in Rust -- 20–30% faster, Clutch-reviewed (Alex Kampa, AZKR Research). - Recruitment team spending 4 hours daily on manual data entry. Built automated extraction and processing pipeline -- 95% reduction. - Data analytics platform hitting memory limits in JavaScript. Replaced core with Rust and Polars -- 5x faster processing, 70% lower memory. - Blockchain gaming 3D pipeline loading in 8+ seconds. Rebuilt within 4GB RAM budget -- 45% faster, Clutch-reviewed (Ruslan Varets). TECHNOLOGIES - Systems & Backend: Rust, C++, Python, TypeScript, actix-web, axum, Tokio, Node.js, WebAssembly - Frontend: React, Next.js, TypeScript, Tauri, Dioxus - AI & Agents: OpenAI, Anthropic Claude, Hugging Face, LangChain, RelevanceAI - Graphics: WebGL, WebGPU, OpenGL, Vulkan, three.js, GLSL/WGSL shaders, bevy - Vision: OpenCV, CUDA, PyTorch, TensorFlow, Keras, Mediapipe - Data: Polars, DataFusion, PostgreSQL, Kafka, Snowflake, Apache Arrow - Cloud & DevOps: AWS, GCP, Azure, Terraform, Kubernetes, Docker, GitHub Actions - Networking: WebRTC, LibP2P, QUIC, WebSocket, gRPC Delivery: Discovery → Architecture Review → Platform Build → Performance Testing → Production Deploy → Runbook Handoff. Fixed scope per phase. This profile is for engineering teams building production platforms under real load. Send your project brief -- I'll reply within 48 hours to assess fit.

Full Stack Engineer specializing in Go, Rust, and scalable backend systems, with 8+ years of experience designing and building production-grade applications. My backend expertise includes: - Go (Golang) services and APIs - Rust systems programming - Async programming and performance optimization - Secure API design - Authentication and authorization systems - Database optimization - Docker and CI/CD pipelines - Cloud infrastructure and deployment I have experience designing: • High-performance backend services using Go and Rust • REST APIs and microservice architectures • Distributed systems and event-driven workflows • Cloud-native applications on AWS/Azure/GCP • Database architectures using PostgreSQL, MongoDB, and SQL-based systems • AI-powered applications and automation workflows • Blockchain/Web3 systems requiring secure and deterministic execution I have worked with startups and product teams to take ideas from architecture design → development → production deployment.