AI x Finance | Building intelligent portfolio systems

I work at the intersection of machine learning, quantitative finance, and product building — focused on creating adaptive, data-driven investment systems.

• 📊 AI-powered risk profiling systems
• 📈 Portfolio optimization (MPT, Black-Litterman, AI allocation)
• 🤖 Reinforcement learning for trading
• 🧩 Building Dhanvira — AI portfolio intelligence platform

• Languages: Python, JavaScript, SQL, C
• ML/AI: PyTorch, Scikit-learn, Pandas, NumPy
• Finance: Quant models, Portfolio Optimization, Financial Modeling, Algorithmic Trading
• Web: Vue.js, Node.js, NestJS
• Database: MongoDB

• 🧾 AI-Driven Financial Advisory Systems

• Risk profiling using behavioral & financial data

• Portfolio optimization (MPT, Black-Litterman)

• Reinforcement learning for dynamic asset allocation

• Backtesting on historical market data

• Focus on robustness, interpretability & real-world applicability

📌 IEEE conference submission in progress

💼 Experience Highlights

• Built AI-driven fintech solutions improving engagement by 20%+
• Developed intelligent chatbot systems for financial advisory
• Worked with National Informatics Centre (Govt. of India) on digital platform strategy
• Experience in market research & business strategy (Admitad India)

• Scaling AI in finance
• Real-world deployment of quant models
• Bridging research → product → startup

• LinkedIn: www.linkedin.com/in/adityatiwari19
• Email: adityatiwari9205@gmail.com

Build systems, not projects. Think in models, not features. Optimize for learning speed over comfort.

⭐️ If you’re working in AI, finance, or building something ambitious — let’s connect.