🏆 𝗡𝗢𝗧𝗔𝗕𝗟𝗘 𝗔𝗖𝗛𝗜𝗘𝗩𝗘𝗠𝗘𝗡𝗧𝗦 🤖 Deployed production multi-agent systems on OpenClaw, 8+ autonomous agents running live business operations 24/7 ⚡ Shipped PULSE : autonomous X/Twitter growth agent executing without human intervention. 🎬 Engineered AI Reality Show : AI Shark Tank, Real founders pitching live on Google Meet to AI-avatar VCs. Built with ElevenLabs (voice) and Hedra (video). 🔗 Shipped AI Trading Agent : Trading agent executing real on-chain transactions across Solana and EVM via natural language interaction. 🏅 Hackathon and Grant Winner : Starknet Thailand 2024, A51 Finance 🚀 Production systems delivered for Dafi Protocol, Lokr, Zygnus, Kerberus and TrustSwap. 🧠 7 years across AI, Data Science, Web3 and Blockchain, veteran engineer and builder by nature. I have been writing code for 7 years. I followed the technology wherever the engineering was hardest and built there before the market caught up. It started in blockchain: smart contracts, DeFi protocols, liquidity management systems. Made countless open-source contributions, plus tried building and growing my own products. Then moved on to AI before it had this much hype. I love to research and learn new things which pull me in a different direction. I was tracking LLM development as a technical discipline, every model release, every architecture paper, while layering AI into what we were already building: DeFAI protocols with natural language execution layers, crypto bots driven by LLM reasoning, automation pipelines on-chain. The real inflection point was AI Shark Tank. We architected a full multi-agent simulation founders pitching live on Google Meet to autonomous investor avatars, each running independently, performing real-time due diligence through coordinated inter-agent collaboration. Voice, avatar generation, and LLM reasoning fully orchestrated. Halfway through that build I realized: I was not adding a feature. I was engineering a new category of software. ⚙️ 𝗧𝗛𝗘 𝗔𝗚𝗘𝗡𝗧 𝗦𝗧𝗔𝗖𝗞 & 𝗔𝗨𝗧𝗢𝗡𝗢𝗠𝗢𝗨𝗦 𝗪𝗢𝗥𝗞𝗙𝗟𝗢𝗪𝗦 : 🤖 𝗢𝗽𝗲𝗻𝗖𝗹𝗮𝘄 𝗔𝗴𝗲𝗻𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Orchestrator and POD architecture, inter-agent communication, shared memory, event routing, VPS deployment 🧠 Multi-Agent Orchestration: Coordinated agent fleets, task routing, autonomous and approval-gated operational modes ⚙️ 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Workflow pipelines replacing manual ops, outreach, lead generation, content, CRM syncing 🔗 𝗟𝗟𝗠 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Claude/OpenAI APIs, local LLM deployments, tool use, function calling, persistent memory, RAGs 🎯 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Multi-agent frameworks, persona conditioning, voice-matched messaging at systems level 📡 𝗔𝗣𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Node.js and TypeScript across REST, Discord, LinkedIn, X API v2, WordPress, and CRM platforms 🎙️ 𝗩𝗼𝗶𝗰𝗲 𝗮𝗻𝗱 𝗔𝘃𝗮𝘁𝗮𝗿 𝗔𝗜: ElevenLabs, Hedra, Whisper, live call-style agentic experiences. 🚀 𝗔𝗚𝗘𝗡𝗧𝗦 𝗟𝗜𝗩𝗘 𝗜𝗡 𝗣𝗥𝗢𝗗𝗨𝗖𝗧𝗜𝗢𝗡: 🔹 FleetMind : CBDO Orchestrator + 4 POD agents (Content, Social, Web, SEO/GEO) + US/EU regional agents. 8+ agents, 6+ integrations, 24/7 ops. 🔹 LANCE : 5-touch (build relation first, then sell strategy) LinkedIn outreach agent. Voice-matched, Discord approval-gated, persistent memory, platform-safe. 🔹 PULSE: Autonomous X/Twitter daily actions: threads, trend monitoring, reply engagement, ICP targeting, weekly analytics. 🔹 AI Reality Show: Autonomous investor avatars on Google Meet. Real-time due diligence and investment decisions. Manual override supported. 🔹 AI Twin App: Persona agents mirroring real Web3 figures via public data ingestion and prompt engineering. 🔹 NLP Trading Agent :NLP on-chain trading agent. Swaps, bridges, cross-chain transfers via natural language. x402 payments, multi-chain adapters. 💡 𝗪𝗛𝗬 𝗛𝗜𝗥𝗘 𝗔 𝗛𝗨𝗠𝗔𝗡 𝗪𝗛𝗘𝗡 𝗬𝗢𝗨 𝗡𝗘𝗘𝗗 𝗔𝗡 𝗔𝗚𝗘𝗡𝗧 𝗘𝗡𝗚𝗜𝗡𝗘𝗘𝗥 ❓ 1. Agents don't deploy themselves: The right engineer is the difference between broken automation and a 24/7 production system. 2. Most agent failures are architecture failures: I map ownership, communication, memory, and failure points before anything runs. 3. No fragile agents: Real money, production standards, zero tolerance, every agent I ship is held to that bar. 4. One engineer, full stack: Architecture to deployment, no handoffs, no gaps. 5. I Ship: Honest scope, real timelines, no half-built handoffs. 🤝 𝗟𝗘𝗧'𝗦 𝗣𝗨𝗧 𝗬𝗢𝗨𝗥 𝗙𝗜𝗥𝗦𝗧 𝗔𝗚𝗘𝗡𝗧 𝗧𝗢 𝗪𝗢𝗥𝗞 If you are building an Agentic AI product, an OpenClaw agent system, or an AI automation pipeline and need an engineer who has actually shipped these systems in production, you are in the right place. I become a complete engineering partner, not just a freelancer. From architecture and agent design to deployment, monitoring, and iteration, I am in it until it works.

Backed by 100% Job Success over 60 projects, 𝐈 𝐨𝐟𝐟𝐞𝐫 𝐅𝐑𝐄𝐄 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐚 𝐅𝐑𝐄𝐄 𝐪𝐮𝐢𝐜𝐤 𝐫𝐞𝐯𝐢𝐞𝐰 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭. AI Full stack Developer with 9+ years across Web3 & AI. I build production agents that automate real workflows including RAG, multi-agent systems, trading & onchain automation, blockchain onchain data, Fintech, DeFi, RWA, Payment gateway. 🤖 AI agent work (what I ship now): - Custom AI agents & copilots - LangGraph, LangChain, CrewAI, OpenAI & Claude APIs - RAG pipelines grounded in your data - vector DBs, evaluation suites, guardrails against hallucination - Multi-agent orchestration - planner/worker/reviewer patterns, tool use, memory - Workflow automation - n8n, Slack/Telegram/WhatsApp bots, CRM & API integrations - Trading & onchain agents - bots that read markets, execute strategies, and interact with smart contracts safely ⛓️ Web3 foundation (9+ years): - DeFi protocols - lending, staking, perp DEXs, cross-chain (LayerZero, Axelar) - Smart contracts - Solidity, Rust, Foundry, audit-ready code - Wallets & infra - ERC-4337 account abstraction, MPC wallets, rollups (OP Stack, zkSync) Selected projects: - Multi-agent AI platform serving live users - Decentralized perpetual exchange - AI trading agent with onchain execution and risk limits - Liquity fork with multi-collateral DeFi architecture - RAG support agent resolving 60% of tickets automatically How I work: fixed scope, clear milestones, daily updates, full code ownership on delivery. I'll always recommend the smallest build that gets you a working agent in production — not the biggest. 📩 Send me the workflow you want automated (or the protocol you want built) and I'll reply with a concrete approach within an hours or book a 30-min consultation directly from this profile.

Fintech CTO with 16+ years building AI-powered financial products. Currently launching one of the industry's first MCP servers enabling Claude Desktop and other AI clients for forex and interest rate decision-making. Also building LangChain-based chatbots for portfolio pricing and exposure management. As former CTO and co-founder of a derivatives pricing company targeting banks in Asia Pacific, I bridge deep finance domain expertise with cutting-edge AI implementation. AI & Product Experience Designing MCP servers for financial decision-making (forex, interest rates, derivatives) Building LangChain-based chatbots for portfolio pricing and client interactions Prompt engineering for financial workflows — structured outputs, hallucination reduction Product strategy from concept to live deployment with enterprise clients Finance Domain Derivatives pricing (options, forwards, swaps, exotics) Treasury operations, hedging strategies, exposure management Financial modeling, scenario analysis, risk frameworks Stock analysis, fundamentals, financial data interpretation Leadership Led 25-member team (solution architects, BI developers, data engineers, DevOps) delivering financial data warehouse and PnL reporting for a UK commodity trading firm Led 70-member data science account for Fortune 500 telecom — understands data pipelines, modeling, and how AI systems consume structured financial data at scale Tech Stack Rust, Python, Ruby on Rails, AWS, PostgreSQL, Redis, LangChain, OpenAI APIs, MCP If you need someone who understands both AI systems and financial markets — not just one or the other — let's talk.

The two-second version: I'm a 30+ year tech expert bringing principal-level cloud experience to build the secure, high-performance software systems, optimized cloud solutions, and effective AI integrations your business needs. My tech leadership roles have delivered solutions used by hundreds of millions globally for international governments, major corporations like Amazon, Microsoft, and Disney, and several startups I founded or joined. View my Upwork portfolio below or skim through my LinkedIn to see more of my background. Excited to talk! --- The longer sit-down version: Pleasure to meet you! I'm Roland. Digging a bit deeper: I blend broad tech and business knowledge with a knack for spotting hidden issues and anticipating future needs, helping make complex projects successful. My background includes leading AWS's global strategy for Rust (recognizing its power for truly secure systems) and playing key roles at Microsoft – working with early internet tech, shipping multiple products, launching Azure back in '09, and even writing its first certification exam. I'm an Ethical Security Researcher and have authored high-performance open-source security solutions. That diverse experience, combined with over a decade consulting worldwide, lets me tackle problems efficiently from different angles. At GovCraft, my focus is clear: Secure & Fast Systems: Building with technologies like Rust when security and performance are critical. Practical AI Integration: Using AI to genuinely streamline your operations and improve decisions, not just for hype. Smart Cloud Solutions: Leveraging deep AWS and Azure experience to design scalable, cost-effective architectures that make sense for your business. I genuinely enjoy turning tough challenges into growth opportunities and am committed to delivering results that don't just meet, but exceed, your expectations – whether that's optimizing systems, deploying smart AI, or creating new products. Beyond pure tech, I've been an entrepreneur – running a Microsoft Gold-certified cloud practice and even a high-end Seattle espresso bar! This means I get the business side too, ensuring the tech solutions we build deliver real, tangible value. One more thing: Govcraft is an SBA-certified minority and veteran-owned business operating from a federal HUBZone. This is mainly relevant if you're a prime contractor needing top tech expertise while meeting federal diversity requirements, but it shows our commitment to building a solid, recognized practice. Ready to tackle your project? Let's connect and figure out how my experience can drive your innovation.

Hello, I’m Ali Mukhtar. I build Python-based quantitative finance systems for firms, startups, and serious traders who need reliable infrastructure for research, backtesting, analytics, and execution. My work sits at the intersection of quant logic and production engineering. I’ve built trading platforms and finance products with FastAPI, pandas, NumPy, TA-Lib, backtrader, PostgreSQL, Redis, CCXT, Alpaca, Polygon, and AWS, including systems for backtesting, options analytics, market data pipelines, execution workflows, and performance reporting. I’m a strong fit if you need help with: ✅ Backtesting engines with realistic assumptions such as commissions, slippage, PnL, Sharpe, drawdown, and portfolio-level metrics ✅ Strategy research infrastructure using Python, pandas, NumPy, TA-Lib, and custom rule/indicator pipelines ✅ Execution and market data systems using APIs, WebSockets, async processing, and exchange/broker integrations ✅ Risk and performance analytics including trade attribution, fill analysis, reporting, and custom metrics ✅ Finance dashboards and APIs for trading, options, and market intelligence platforms ✅ Scalable backend systems built with FastAPI, PostgreSQL, Redis, multiprocessing, and cloud deployment A few examples of the systems I’ve worked on: Built backtesting platforms with realistic trade lifecycle handling, commission/slippage modeling, and 50+ performance/risk metrics Built strategy builder APIs that allow stacking indicators and testing systematic logic across historical data Built options and market analytics dashboards using Alpaca and Polygon data, including Greeks, IV, open interest, GEX, vanna, and charm views Built execution-analysis pipelines in Python to measure fill quality, VWAP, slippage, latency impact, and symbol-specific virtual fee models Built scalable trading infrastructure with isolated processes, async data ingestion, secure auth, and production deployment on AWS / Docker / Kubernetes I’m usually not the right fit for: Generic “quick script” work with no research depth Projects that ignore execution realism, slippage, or proper validation Lowest-cost shopping where engineering quality is secondary What you can expect from me: ✅ Finance-aware implementation, not just generic backend code ✅ Clean, maintainable Python code and well-structured APIs ✅ Realistic backtesting and analytics instead of inflated results ✅ Clear communication and thoughtful technical decisions ✅ A builder who understands both quant requirements and production constraints 🚀 Ready to build something serious? 📩 Send me a message and let's discuss how we can build something exceptional together!

𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 (top 1% on Upwork) and 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬, with $𝟒𝟎𝟎𝐊+ earned across 𝟏𝟐𝟓+ projects. I'm a founder and full-stack engineer who acts as your technical partner, architecting AI and blockchain systems that work in production, not just in a demo. Most clients come to me when the build actually matters: when it has to be secure, has to scale, and has to handle real data or real money without breaking. I architect and build custom systems end to end, and I can bring in a vetted team when a project needs more hands. Think of me as a fractional CTO and a builder in one: senior judgment on the strategy, real hands on the code. A lot of AI talent stops at a clever prompt and a slick demo. I come at it as a systems engineer. I have architected a Layer 1 blockchain hardened with post-quantum cryptography, a decentralized exchange and validator platform, an on-chain tokenization system for commercial real estate, and production AI agents that run real sales and operations workflows. I work natively in fintech and regulated systems, so I'm as fluent in tokenomics, compliance, and data-heavy infrastructure as I am in the code itself. If your AI or your protocol has to be correct, not just impressive, that is the gap I fill. 𝐖𝐇𝐀𝐓 𝐈 𝐁𝐔𝐈𝐋𝐃 • AI agents and automation: multi-agent systems, LLM integration, RAG, and automation wired into your real tools and data • Custom full-stack software: React / Next.js, Node.js, Go, Rust, and databases, built and shipped end to end • Smart contracts and protocols (EVM and Solana): audited, gas-optimized, production-ready • DeFi and tokenization: staking, swaps, liquidity, governance, and real-world-asset / on-chain systems • AI for fintech and on-chain: the rare overlap of AI, blockchain, and financial systems, done by one person who understands all three • Technical strategy: architecture, security review, tokenomics, and the roadmap to get there 𝐖𝐇𝐘 𝐂𝐋𝐈𝐄𝐍𝐓𝐒 𝐇𝐈𝐑𝐄 𝐌𝐄 • 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 and 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬: roughly the top 1% of Upwork talent, with $𝟒𝟎𝟎𝐊+ earned and 𝟏𝟐𝟓+ projects delivered • A founder's perspective: senior judgment on strategy, with real hands on the code • Security and correctness first: audits, hardening, and systems trusted to move real value • Senior, direct communication and predictable, on-time delivery If you are building an AI product or a custom platform, automating real operations, launching a protocol, or tokenizing real-world assets, and you want a technical partner who will get it right the first time, let's talk.

As a Senior Blockchain Engineer with extensive hands-on experience in Solidity, Rust, and Ride, I specialize in building secure, scalable, and innovative blockchain applications across major networks like Ethereum, Solana, Polygon, Binance Smart Chain, and Waves. Over the past several years, I’ve successfully delivered end-to-end blockchain solutions including: ✅ Smart Contracts ✅ Custom Tokens & Crowdsales ✅ NFT Marketplaces & Utilities ✅ DEX/DeFi Protocols & Liquidity Pools ✅ Full-stack dApps ✅ Wallet Integrations (Custodial/Non-custodial) ✅ Blockchain Consulting & Audits 🔧 Core Technical Expertise: 🧠 Blockchain Development: ✅Solidity, Rust, Ride (Waves) ✅ EVM-compatible and Non-EVM chains ✅ DeFi protocols, staking systems, DAO implementations ✅ NFT minting, metadata, royalties, and marketplaces ✅ Wallet, exchange, and bridge integrations ✅ Hyperledger & Private Blockchains ✅ Crowdsales, ICO/IDO Platforms 💻 Smart Contract & DApp Expertise: ✅ Secure smart contract design and audit ✅ Frontend: React.js, Angular, Web3.js, Ethers.js ✅ Backend: Node.js, PHP (Laravel/Yii2/CakePHP) ✅ API integration: CoinPayments, MetaMask, Stripe, PayPal 📦 Infrastructure & DevOps: ✅ AWS, Ubuntu/Linux ✅ Redis, MongoDB, PostgreSQL, MySQL ✅ CI/CD, Docker, Git 🎯 What You Can Expect: ✅ Clean, maintainable code with best practices ✅ Security-focused development (reentrancy, overflow protection, etc.) ✅ Agile communication and reliable delivery ✅ Scalable architecture with ongoing support & upgrades

Experienced AI & Full Stack Developer with a strong track record across web, mobile, and desktop application development, including AI avatar generators, virtual AI assistants, text chat, VoIP, and video chat. Skilled in building autonomous AI systems, multi-agent architectures, RAG pipelines, LLM-powered applications, and workflow automation solutions. Experienced in deploying production-ready AI systems with a focus on reliability, scalability, and performance. Proven ability to contribute as both an individual contributor and team leader, with successful projects delivered across finance, commerce, entertainment, lifestyle, and AI domains. Key strengths include: - AI: OpenAI, Claude, Gemini, Stable Diffusion, LoRA, ElevenLabs, HeyGen, RunwayML, LangChain, LlamaIndex, AutoGen, CrewAI, RAG, Multi-Agent Systems, MCP Servers - Cross-Platform & UI: C++, Qt & QML, PySide, Rust - DevOps & Cloud: CI/CD, AWS, GCP, Azure - Frontend & Mobile: React, Angular, React Native, Swift, Flutter - Backend & Core: JavaScript, TypeScript, Node.js, Python, Go, Java, PHP, Ruby on Rails * Architecture & Leadership: Full-cycle product development, UI/UX focus, agile processes, team collaboration

Full stack Developer expert with focus on building modern, scalable applications. I have over 10+ years of professional software engineering experience and am always up to date on the newest trends, languages, and frameworks. I also have experience in all aspects of mobile app development and I have released numerous applications. I love coding and I always deliver efficient, clean, maintainable and test covered code. I focus on creating state-of-the-art ways to connect businesses with customers, easily and with outstanding results. I am capable of following strict directions as well as conceptualizing solutions that will work for you. I have created numerous tools and boilerplates to assist me in my business, which allow me to implement common features much faster. I Specialize in : - React, Vue JS, Next JS, NestJS framework - Back end Development with Python / Django/ NodeJS - Data Analytics and Machine Learning with Spark and TensorFlow - Web Scrapping and Data Mining - Software architecture development and consultation - Cloud (Windows Azure and Amazon web service) - Azure HDInsight, Hive and HBase - MVC 6 & WebAPI - Model View ViewModel Pattern (MVVM) - Frappe ERPNext - Zoho Suite - Automation : n8n, Make.com

I build software using AI as a core engineering tool - not a gimmick. My workflow is centered around Claude Code (Anthropic's agentic coding environment), which lets me spec, scaffold, debug, and ship production-grade apps significantly faster than traditional development. I use it with real discipline: writing structured prompts, reviewing every diff, and owning every line of the final output. What this means for you: - Features built in days, not weeks - Leaner codebases with fewer bugs - Full transparency - you always get clean, readable, production-ready code What I build: - AI-integrated web and desktop apps (chat interfaces, agentic tools, LLM pipelines) - Custom internal tools powered by Claude, GPT-4, or local models via Ollama - Fullstack SaaS products (Next.js + Node + PostgreSQL/AWS) - High-performance desktop apps with Tauri and Rust - RAG systems, embeddings search, and document Q&A products My stack: TypeScript, React, Next.js, Node.js/NestJS, Rust, Tauri, PostgreSQL, AWS, Claude API, OpenAI API, LangChain, Supabase Top Rated with 100% Job Success Score. I am not just a developer who uses AI tools - I architect systems that use AI as a feature. If you want a smart developer who ships fast and communicates clearly, let's talk.