Dai Viet H.

I'm Daiviet, financial engineer helping startups, SMEs, and fintech teams 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝗽𝗿𝗼𝗳𝗶𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗳𝗶𝗻𝗮𝗻𝗰𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀, and 𝗯𝘂𝗶𝗹𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. I combine 𝗖𝗙𝗢 𝗮𝗱𝘃𝗶𝘀𝗼𝗿𝘆 and 𝗙𝗣&𝗔 with full-stack development to 𝗱𝗲𝘀𝗶𝗴𝗻 𝘁𝗵𝗲 𝗲𝗻𝘁𝗶𝗿𝗲 𝗳𝗶𝗻𝗮𝗻𝗰𝗲 𝘀𝘁𝗮𝗰𝗸, from 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗺𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴, 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴, and 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿 𝗿𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 to automated analytics platforms and financial dashboards. 𝗠𝘆 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗶𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻𝗮𝗹 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿𝘀, 𝘄𝗲𝗮𝗹𝘁𝗵 𝗺𝗮𝗻𝗮𝗴𝗲𝗿𝘀, 𝘃𝗲𝗻𝘁𝘂𝗿𝗲 𝗰𝗮𝗽𝗶𝘁𝗮𝗹 𝗳𝗶𝗿𝗺𝘀, 𝗮𝗻𝗱 𝗳𝗶𝗻𝘁𝗲𝗰𝗵 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝘁𝗵𝗲 𝗨𝗞, 𝗔𝘂𝘀𝘁𝗿𝗮𝗹𝗶𝗮, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗨𝗔𝗘, 𝗯𝗿𝗶𝗻𝗴𝗶𝗻𝗴 𝗶𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻𝗮𝗹-𝗴𝗿𝗮𝗱𝗲 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝘁𝗼 𝗳𝗮𝘀𝘁-𝗴𝗿𝗼𝘄𝗶𝗻𝗴 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀. Using Python, React, Next.js, and Node.js, I build end-to-end financial platforms including valuation pipelines, analytics tools, algorithmic trading systems, and AI-based market models. 𝗧𝗵𝗲 𝗴𝗼𝗮𝗹 𝗶𝘀 𝘀𝗶𝗺𝗽𝗹𝗲: 𝘁𝘂𝗿𝗻 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗶𝗻𝘀𝗶𝗴𝗵𝘁 𝗶𝗻𝘁𝗼 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝘁𝗵𝗮𝘁 𝗵𝗲𝗹𝗽𝘀 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀 𝗮𝗻𝗱 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿𝘀 𝗺𝗮𝗸𝗲 𝗳𝗮𝘀𝘁𝗲𝗿, 𝗯𝗲𝘁𝘁𝗲𝗿 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀. ✅ 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼 - 𝙈𝙖𝙧𝙠𝙚𝙩 𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝, 𝘼𝙣𝙖𝙡𝙮𝙨𝙞𝙨 𝙖𝙣𝙙 𝙏𝙧𝙖𝙙𝙞𝙣𝙜: I deliver equity research, valuation models and market reports across stocks, crypto, forex and fintech. This includes fundamental and technical analysis, crypto market studies, ICO research, and professional writing for reports, newsletters and blogs. - 𝘼𝙡𝙜𝙤𝙧𝙞𝙩𝙝𝙢𝙞𝙘 𝙏𝙧𝙖𝙙𝙞𝙣𝙜 𝙖𝙣𝙙 𝙏𝙧𝙖𝙙𝙞𝙣𝙜 𝙋𝙡𝙖𝙩𝙛𝙤𝙧𝙢𝙨: I design and build automated trading systems, bots and backtesting frameworks across crypto, stocks, forex, futures and options. This covers strategy research, execution logic, risk management and performance monitoring. 𝙄 𝙖𝙡𝙨𝙤 𝙙𝙚𝙫𝙚𝙡𝙤𝙥 𝙘𝙤𝙢𝙥𝙡𝙚𝙩𝙚 𝙩𝙧𝙖𝙙𝙞𝙣𝙜 𝙥𝙡𝙖𝙩𝙛𝙤𝙧𝙢𝙨, 𝙞𝙣𝙘𝙡𝙪𝙙𝙞𝙣𝙜 𝙧𝙚𝙖𝙡 𝙩𝙞𝙢𝙚 𝙙𝙖𝙨𝙝𝙗𝙤𝙖𝙧𝙙𝙨, 𝙡𝙤𝙬 𝙡𝙖𝙩𝙚𝙣𝙘𝙮 𝙚𝙭𝙚𝙘𝙪𝙩𝙞𝙤𝙣 𝙚𝙣𝙜𝙞𝙣𝙚𝙨 𝙖𝙣𝙙 𝘼𝙋𝙄 𝙙𝙧𝙞𝙫𝙚𝙣 𝙨𝙮𝙨𝙩𝙚𝙢𝙨 𝙛𝙤𝙧 𝙩𝙧𝙖𝙙𝙚𝙧𝙨, 𝙛𝙪𝙣𝙙𝙨 𝙖𝙣𝙙 𝙛𝙞𝙣𝙩𝙚𝙘𝙝 𝙨𝙩𝙖𝙧𝙩𝙪𝙥𝙨. ✅ 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 - 𝙇𝙖𝙣𝙜𝙪𝙖𝙜𝙚𝙨: Python, JavaScript and TypeScript. - 𝘿𝙖𝙩𝙖 𝙖𝙣𝙙 𝘼𝙄: Pandas, NumPy, scikit learn, TensorFlow, PyTorch, Gemini, SQL, MongoDB. - 𝙁𝙧𝙖𝙢𝙚𝙬𝙤𝙧𝙠𝙨: React, Next.js, Node.js. - 𝘾𝙡𝙤𝙪𝙙 𝙖𝙣𝙙 𝘿𝙚𝙫𝙊𝙥𝙨: Docker, AWS, CI/CD pipelines - 𝘽𝙧𝙤𝙠𝙚𝙧 𝙖𝙣𝙙 𝙚𝙭𝙘𝙝𝙖𝙣𝙜𝙚 𝙞𝙣𝙩𝙚𝙜𝙧𝙖𝙩𝙞𝙤𝙣: Alpaca, IBKR, E TRADE, Coinbase, Binance. ✅ 𝗕𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱 I am a computer science graduate from Switzerland and hold a BA in Finance from Stamford University. I spent eight years working across Switzerland, France, the UK and Singapore in private banking and a commodities trading conglomerate before moving into entrepreneurship and independent consulting. ✅ 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸 I combine institutional finance discipline with engineering execution. That means clear assumptions, robust systems, transparent communication and delivery that scales. Whether you need research, operational finance support, or a production grade trading system, I focus on outcomes that move your business forward. I am currently exploring advanced AI trading models, and next-generation market prediction systems. I am open to collaborating with fintech companies, trading teams, and organizations working on innovative financial technologies.