I BUILD AI AGENTS AND PRODUCTION INTEGRATIONS — HANDS-ON, NO AGENCY Claude-based agent orchestrators. MCP tool integrations. OAuth flows, webhooks, and event-driven pipelines. Solo operator with 11 years of institutional engineering background at ION Trading (Credit Suisse, JPMorgan Chase), now building AI systems full-time. Currently at TradeAdapt.ai — a multi-agent Claude platform running unattended against live market data 6+ hours per day in production. 🤖 AI / AGENT DEVELOPMENT Claude API — multi-agent orchestration, assistant-prefill JSON enforcement, tool use MCP integrations — Google Drive, Gmail, Calendar connected; custom MCP servers Prompt architecture — per-agent schemas, cost budgets, conversation state management Evaluation harnesses — batch replay, prompt regression testing, live/batch parity RAG & retrieval — context engines tuned for real-time data pipelines Cost optimization — ~75% per-call token reduction without losing context 🔧 GENERAL ENGINEERING Node.js, Python, Electron — daily production work REST APIs, webhooks, OAuth flows, event-driven architectures Cloud deployment, version control, basic CI WordPress/PHP for companion sites and marketing pages Desktop apps that run unattended for hours (system tray, TTS, streaming data) 📊 TRADING & FINTECH DOMAIN Deep domain expertise when the project calls for it — I'm an active trader and built institutional systems for a decade. 25+ years active trading — FX, equities, crypto, futures (NQ/ES/YM) Hedge fund founder, "Forex 500" competition winner Built order management systems at ION Trading for tier-1 banks (Credit Suisse, JPMorgan) Platforms: TradingView / Pine Script, MT5 / MQL5, NinjaTrader / NinjaScript, cTrader Indicators, strategy automation, risk management, webhook alert systems Platform migrations — one strategy, deployed across TradingView, MT5, NinjaTrader 📈 WHY CLIENTS CHOOSE ME Real Production Experience: TradeAdapt is a live AI system I run every market day — my code holds up under actual load Senior Engineer: I read a brief, ask the right clarifying questions up front, and ship Solo Operator: No agency middlemen, no subcontracting — you work with the person doing the build Honest Quoting: Fixed-price work scoped before quoting, scope drift flagged in writing Clean Code: Modular, documented, built for you to modify later Long-Term Focus: I prefer ongoing engagements over one-off jobs 🚀 LET'S BUILD Send me the build brief. I'll ask the clarifying questions and give you an honest estimate. 📧 DNelson@TradeAdapt.ai

I build trading bots, custom indicators, and automated strategies that work exactly the way you want them to. What I Do: I turn your trading rules into fully working algorithms. You tell me your strategy — I code it, backtest it, optimize it, and deliver it ready to run live. Platforms I Work With: MetaTrader 4/5 (MQL4/MQL5), NinjaTrader 7/8 (C#), cTrader/cAlgo (C#), QuantConnect (Python/C#), TradingView (Pine Script) What I Build: → Trading bots & Expert Advisors → Custom indicators (multi-timeframe, multi-symbol, alerts) → Scalping, grid, breakout, hedging, mean reversion strategies → Backtesting & walk-forward optimization → Risk management systems (SL/TP, trailing stops, breakeven, pyramiding) → Broker & exchange API integration (Binance, Bybit, Oanda, Interactive Brokers) → Prop firm challenge bots (FTMO, MyFundedFX, etc.) Why Clients Choose Me: → Top Rated on Upwork — 32 jobs done, 1,370+ hours, $40K+ earned → I follow your rules exactly — no guessing, no shortcuts → Clean, well-documented code with source files included → Fast replies and on-time delivery I work with forex traders, crypto traders, futures traders, prop firms, and hedge funds. Send me your trading idea or strategy rules — I'll tell you exactly how I can automate it.

I build production-ready AI agents that bridge the gap between "cool prototypes" and actual business ROI. As a Computer Science student at UCF with a background in high-stakes algorithmic logic, I don’t just write prompts—I build scalable, autonomous systems. I specialize in multi-agent workflows and intelligent data processors that save businesses 10–40+ hours per week by automating complex manual tasks. What I Deliver: * Custom Multi-Agent Workflows: Designing "swarms" that handle lead qualification, CRM automation, and document parsing using LangChain and CrewAI. * MCP-Powered Integration: Implementing the Model Context Protocol (MCP) to give your agents secure, reliable access to your local files, APIs, and databases. * Data Intelligence: Advanced web scraping, structured extraction from PDFs/CSVs, and predictive modeling for actionable insights. * Financial & Quantitative Logic: Expert in algorithmic trading bots and strategy optimization (Pine Script, MT4/5, Genetic Algorithms) for high-performance financial workflows. Why Work With Me? * Engineering Mindset: A strong CS foundation means I focus on error handling, security, and performance—not just "chatting" with an LLM. * Outcome-First Approach: I provide clear milestones and fixed-price scoping so you know exactly when your system goes live. Let’s discuss your workflow pain points. I’m happy to audit your current process and propose a scoped solution that actually moves the needle.

Experienced Entrepreneur with a demonstrated history of working in the software industry since 25+ years. Skilled in • C++ * C++ modules like CPPRESTSDK, cpp_redis, redis++, boost, jwt-cpp, ODB++ etc. • Win32 • MFC • Visual Studio • C# • WPF • .Net • Pine Script • WSL • Linux utilities/services • AWS • Docker • Blockchain • MQTT, Node.js • React.js • Next.js • Node.js • Requirements Analysis • PHP • Python • Fortran • PLC • SCADA • DLMS/COSEM • Agile Methodologies • Embedded Programing/Firmware • GigE / USB (GenICam) Industrial Vision Camera (Baumer, Matrix, HikRobot) • HikRobot VisionMaster Library SDK for image processing (C# and C++) • RS232/RS485/MODBUS I carry huge experience in • NLP • Vision software • OCR/OCV • OpenCV • CAD/CAM • Smart Meter • DLMS/COSEM • Smart Meter Control Software • GuruX • Smart Meter Calibration • AS Test Bench/CALMATE for Electric meter calibration/accuracy full/semi automatic • Automation • Telemetry • Algo Trading • MetaTrader • Tradingview • CTrader * AGGrid Experienced in working with broad range of microcontrollers including • NRF51822 • NRF52832 • STM32F4 • STM32F0 • STM32F1 • STM32L1 • STM32L4 • STM32H5 • NXP RT1050 • PIC32MX • MSP430 • STM8S • STM8L • PIC16 • 8051 Expertise in a wide array of industry verticals, such as metering (Electricity and Water), fire safety, data loggers (Battery operated), streetlight, and wearables Strong background in designing and developing firmware architecture and solutions Proficient in both wired and wireless communication technologies and interfacing the same, including BLE, Wi-Fi, Ethernet, and Cellular Deep understanding of DLMS/COSEM metering protocols, integration of the same and also experienced in certifying meter with DLMS stack through CTI file and CTT tool. Experienced in implementing DLMS with various interface profiles, including HDLC-based serial profiles for meter communication over Optical, RS485, and RS232 interfaces. Additionally skilled in using TCP-based wrapper profiles for seamless communication with meters over Ethernet and Cellular networks Advanced in C programming, with familiarity in C# and Python for supporting tools and utilities. Well-versed in various IDEs and version control tools such as SVN and Git Experienced with various MCU interfaces including SPI, I2C, ADC, DAC, Timers, DMA, UART, CAN, LTDC, MPU, Flexible memory controller, FlexSPI-Quad SPI Extensive experience development on FreeRTOS-based development and also bare-metal development Deep understanding of low-power design, battery-operated products, and efficient power management techniques Expertise in secondary bootloader development, secure firmware upgrades, and troubleshooting complex firmware issues No matter what you are after, a proof of concept, maybe an MVP, architecture or a full fledged app, I'd be eager to help you realize your idea and accomplish your goals.

Most trading strategies fail in live markets because they are overfitted to the past. I solve this problem. I am a Quantitative Developer and Python Expert specializing in building automated trading systems that are statistically valid. I don't just write code; I provide the infrastructure to test, optimize, and execute your logic with precision. My Specialized Services: 🐍 Python Algorithmic Trading: - Advanced Optimization: Using Optuna to find the best parameter sets without curve-fitting. - Walk-Forward Analysis: Rigorous testing on out-of-sample data to ensure your strategy works in changing market conditions. - Data Mining: High-speed fetching of historical data (OHLCV) from exchanges (Binance, Bybit, etc.) via API to build reliable datasets. - Execution Bots: Connecting your logic to exchanges via CCXT or custom API wrappers for low-latency execution. 📈 TradingView & Pine Script: - Development of custom indicators and strategies (Pine Script v6). - Setting up webhook alerts for automated execution (connecting TradingView to Python/3Commas). - Converting manual strategies into strict algorithmic rules. ► ADVANCED METRICS & QUANT ANALYSIS (MY SPECIALTY) Standard metrics like ROI are not enough. I analyze the deep structure of your strategy using: 1. STATISTICAL SIGNIFICANCE - PSR (Probabilistic Sharpe Ratio) & Deflated Sharpe Ratio - P-Values & Statistical Significance of trades - Walk-Forward Matrix (WFM) Analysis 2. RISK & TAIL EVENTS - CVaR (Conditional Value at Risk) - Skewness & Kurtosis (Tail risk detection) - Exposure-Adjusted Returns 3. MARKET DYNAMICS - Market Regime Analysis (Trend vs. Range/Sideways performance) - Rolling Sharpe Ratio & Alpha/Beta calculation - Correlation matrices Why Me? You need to know if your strategy survives when the market changes. I provide the infrastructure and the math to answer that question. I focus on "Robustness" over "Raw Profit," ensuring your bot is ready for real capital. Click "Invite to Job" to discuss your strategy and let's run the numbers.

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!

I help startups and teams build and scale AI-powered products on Replit — from quick MVPs to fully deployed SaaS systems. Whether you need agentic workflows, Replit deployments, or cross-platform apps, I turn complex ideas into working, production-ready solutions. With 8+ years of full-stack experience, I’ve delivered projects across AI, Replit, TradingView integrations, and React Native, helping clients launch faster and scale confidently. Core Expertise: 🔹 Replit Development & Deployment – end-to-end app builds, Replit-hosted SaaS, debugging, migrations 🔹 AI & Agentic Systems – OpenAI, Claude, MCP, Cursor, custom AI workflows 🔹 Full-Stack Engineering – Node.js, Firebase, REST APIs, Electron 🔹 Mobile Development – React Native, Expo, hybrid mobile apps 🔹 Trading Tools – TradingView, Pine Script, custom charting libraries Clients describe me as proactive, reliable, and solution-driven — not just fixing problems but building scalable, maintainable products that last. If you’re looking for a Replit expert who can design, code, and deploy your next AI or full-stack project, let’s connect and make it happen.

Hi, I am a software developer with deep experience in compiled languages, primarily Rust, Java, and Kotlin, with a strong focus on systems that require big data processing, real-time data pipelines, and low-latency execution. I design and build distributed backends deployed across cloud platforms such as AWS, GCP, and self-hosted infrastructure. My primary expertise lies in the FinTech, IoT, and eCommerce domains, with a growing focus on high-performance trading infrastructure built in Rust. I remain open to exploring and contributing to other industries that demand innovative, data-driven applications. 📈 Funding Rate Arbitrage System (Recent) Currently building a low-latency cryptocurrency funding rate arbitrage system that operates across multiple centralized and decentralized venues. Originally prototyped in Java and Kotlin, the system has been completely rewritten in Rust to meet stricter latency and reliability requirements. Technologies used: 🔹 Rust at the core for execution-critical paths, including order routing, position reconciliation, and venue connectors where tight latency budgets and predictable performance matter most 🔹 Native integrations with Binance, Bybit, Hyperliquid, and Kraken, covering both perpetual futures and spot legs 🔹 Real-time funding rate aggregation, slippage modeling, fee accounting, and risk management to identify and capture cross-venue spreads ⚡ IoT Platform I have worked on a distributed IoT platform in AWS IoT with numerous integrations and a complex architecture. Transitioned the platform from Telit to AWS IoT Core. Technologies used: 🔹 Java Spring Boot with AWS ECS to develop a scalable message-processing microservices pipeline 🔹 Dagger 2 with AWS Lambda for efficient dependency injection in serverless applications 🔹 Node.js (TypeScript) with AWS Lambda functions to implement specific integrations and enhance functionality 🚀 FinTech Trading System Developed a robust, scalable trading system capable of handling dozens of symbols across multiple accounts and brokerages. Technologies used: 🔹 The trading system is being developed using Java and Kotlin within a Spring Boot microservices architecture 🔹 Apache Kafka integrated to support the backtesting of extensive datasets 🔹 To complement the backend functionality, I developed a simple UI using React and Redux, enabling users to interact with the system 🔹 Additionally, I researched and implemented a separate module written in Python, leveraging Deep Reinforcement Learning (DRL) techniques to explore advanced analytical capabilities 🔹 Integrations with OpenAI, Binance, Metatrader (via MetaApi), and Snapi news API (Crypto, Forex, Stocks) further enriched the system’s versatility and scope 🔹 For CI/CD processes, I utilized GitLab and Docker Compose with a Cloud Native Buildpacks (CNB) approach to streamline deployments and ensure efficient workflows 🛍️ E-commerce Worked as a full-stack developer on various e-commerce projects, utilizing a wide variety of technologies and frameworks such as Java, SAP Commerce Cloud (Hybris), Spring, Apache Kafka, Hibernate, Hazelcast, Apache Solr, Kubernetes, React, and others.

I help hedge funds, proprietary trading desks, and advanced fintech teams design and build institutional-grade trading and research systems. My focus is not on toy backtests, but on execution-ready, decision-aware infrastructure that operates under real market conditions. I am a senior quantitative developer, algorithmic researcher, and strategy engineer with experience spanning high-frequency trading, systematic alpha research, execution systems, and institutional investment workflows. My work covers the full lifecycle of trading and investment systems, from market microstructure and low-latency execution, to top-down research frameworks that connect macro regimes, sector dynamics, security selection, and portfolio construction. Beyond implementation, I specialize in formalizing how investment teams think. I translate discretionary research and intuition into structured, explainable, and reproducible decision systems suitable for portfolio managers, investment committees, and client reporting. What I Do in Practice ✔️ Design and build execution-ready trading systems including HFT, statistical arbitrage, and market making ✔️ Architect institutional research frameworks linking macro, sector, security, and portfolio layers ✔️ Build strategy-aware infrastructure that enforces risk, explainability, and confidence calibration ✔️ Integrate machine learning and language models as decision support, not black-box signal generators ✔️ Deliver systems intended for live trading, capital deployment, and institutional scrutiny 💡 Core Expertise A. Trading and Execution Systems ✔️ High-Frequency Trading: microstructure modeling, latency optimization, execution efficiency ✔️ Statistical Arbitrage and Market Making: spread modeling, liquidity provisioning ✔️ Smart Order Routing and Trading Aggregators: multi-venue execution, real-time risk and connectivity B. Institutional Research and Decision Architecture ✔️ Top-down investment framework design across macro, sector, security, and portfolio layers ✔️ Research orchestration, dependency tracking, and explainable decision workflows ✔️ Converting discretionary research into auditable, reusable systems used by portfolio managers C. Quantitative Methods and AI ✔️ AI-augmented research systems using language models for structuring, synthesis, and scenario analysis ✔️ Machine learning for predictive modeling, anomaly detection, and regime analysis ✔️ Robust validation including walk-forward testing, stress testing, and stability analysis D. Crypto and Digital Asset Trading ✔️ CEX and DEX arbitrage, perpetuals, options, and AMMs ✔️ DeFi integrations and smart-contract-aware strategies 💻 Platforms & Infrastructure : Traditional Trading: MetaTrader 4/5 (MQL4/MQL5), NinjaTrader, Sierra Chart, TradingView (Pine Script), QuantConnect, Interactive Brokers, ThinkOrSwim Crypto Trading: Binance, Bybit, BitMEX, OKX, Deribit, dYdX, Uniswap, Sushiswap, GMX Low-Latency & HFT Development: C++, C#, Rust, Python, FPGA-based strategies Infrastructure & Pipelines: Kafka, Redis, TimescaleDB, PostgreSQL, Liquibase, Docker, Kubernetes AI & ML Toolkits: TensorFlow, PyTorch, Scikit-learn, OpenAI API, Pandas 💡 My Approach to Machine Learning and AI in Trading Financial markets are non-stationary, adversarial, and regime-driven. Machine learning and AI can add value, but only when applied with discipline and market awareness. I emphasize: - Alpha and economic logic first, machine learning second - Robust validation through walk-forward analysis and stress testing - Execution-aware design rather than theoretical backtests - AI as a tool for structuring reasoning and research, not for mining noise The same discipline applies to research systems. Strong investment outcomes come from clear assumptions, controlled uncertainty, and explainable logic rather than opaque models. 💬 My Philosophy on Pricing & Partnerships Exceptional value lies not just in technical ability, but in deep market understanding and execution precision. I focus on delivering results-driven systems, not just theoretical models. I welcome long-term collaborations with hedge funds, prop desks, and fintech startups who value strategic edge, not just code.

I am a Forex trader, market analyst, and trading systems developer with 5 years of experience. I specialize in MT4 and MT5 Expert Advisors, custom indicators, and TradingView automation. I also have strong customer service experience, with a focus on clear communication, reliability, and client satisfaction. I deliver well-tested trading solutions designed for performance, consistency, and risk management.