Richard M.
Expert in AI & HFT | Proficient in Python/C++ | Project Leadership
Leveraging over two decades of experience in Technology and High-Frequency Trading (HFT), I've worked in premier institutions including Aviva, FTSE, Merrill Lynch, Bank of New York, Kingdon Capital, Syneos Health Services, HSBC, Dresdner, Royal Bank Of Canada, Mitsubishi, Credit Suisse, and Insch Kintore. I bring to the table proficiency in: Trading Systems & Market Infrastructure ✅ HFT & Market Making: Ultra-low-latency systems, FPGA acceleration, co-location (NY4/TY3), FIX/ITCH/OUCH. ✅ Forex ECNs: Deep expertise in Cboe FX, EBS, and institutional FX market microstructure. ✅ Hedge Fund Infrastructure: OMS/PMS, real-time risk engines, portfolio analytics, multi-asset connectivity. ✅ Prediction Markets: Oracle integration, automated settlement, and market resolution protocols. ✅ Trading Expertise: Order book microstructure, AMM strategies, CEX dynamics, ICT/SMC (MT5). Exchanges, Blockchain & Tokenization ✅ Crypto Exchange: Matching engines, custody integration, KYC/AML, fiat on/off ramps. ✅ DeFi & DEX: AMMs, liquidity pools, cross-chain bridges, decentralized trading infrastructure. ✅ Blockchain & L1/L2: Custom chains, consensus mechanisms, rollups, validator infrastructure. ✅ Tokenization & RWA: Security tokens, real-world asset tokenization, regulatory frameworks. ✅ Crypto & Web3: Solana, Ethereum, QuickNode, Jupiter, Fireblocks. AI, Quant & Advanced Modelling ✅ AI/ML for Finance: Quant pipelines, alpha signal generation, feature engineering, and modeling across Forex and crypto markets. ✅ LLM Systems: LangChain, LangGraph, OpenAI MCP, agentic workflows, observability, and data reconciliation. ✅ Frameworks: PyTorch, TensorFlow, Transformers (low-rank, factorized), LLMs (GPT, BERT, PaLM). ✅ Advanced Methods: Deep Q-Learning, Reinforcement Kalman Filters, Mean Field Games. Engineering, Data & Low-Latency Stack ✅ Languages & Systems: C, C++, C#, .NET, Python, Rust, Go, TypeScript, Solidity, CUDA, Verilog/VHDL. ✅ Data & BI: SQL, MDX, XML, XBRL, SSAS, Power BI, star schema design. ✅ Real-Time Data: Kdb+/q, in-memory columnar streaming systems. ✅ Low-Latency Tech: FPGAs, SmartNICs, FIX, CME, NASDAQ, Trading Technologies, QuantConnect. Cloud, DevOps & Platforms ✅ Containerization: Docker, Kubernetes. ✅ Cloud: AWS (ECS, EMR, Glue, Firehose, SageMaker), Azure, Azure ML, DevOps. ✅ Data Platforms: Databricks. ⭐ I pride myself on my stellar reviews and feedback which are a testament to my dedication to excellence and client satisfaction. ⭐ My robust portfolio and strong work history demonstrate the breadth and depth of my expertise.
Earnings and projects
Last 6 months ÷ 6
Billed in all: $357,771$358k
$0 in the last 6 months
Across 6 contracts
Across 126 contracts