I'm a BSc student in AI & Data Science with a diverse technical journey spanning blockchain development, web3 applications, full-stack web development, and quantitative finance. My work bridges ML theory and practical applications across multiple domains.

Journey:

• 🌐 Started: Web Development (React, Node.js, full-stack apps)
• ⛓️ Evolved: Blockchain & Web3 (Smart contracts, dApps, DeFi)
• 🔬 Now: ML for Finance (Trading systems, time-series, theory)

Current Impact:

• 📊 Deployed trading system: 73% accuracy, serving 20+ users across 11+ countries
• 🎤 International speaker: UN Bangkok, Uzbekistan, Malaysia
• 🔬 Researching optimization theory, generalization, financial econometrics

Languages: Python · JavaScript · TypeScript · Solidity · HTML/CSS · SQL

ML/AI: PyTorch · TensorFlow · Scikit-learn · XGBoost · ARIMA · LSTM · Transformers

Blockchain: Solidity · Web3.js · Ethers.js · Smart Contracts · DApps · ERC-20/721

Web Dev: React · Node.js · Express · MongoDB · REST APIs · WebSocket

Data: Pandas · NumPy · Matplotlib · SQL · Time-series analysis

Finance: Technical analysis · Backtesting · Risk management · Quantitative modeling

Dev Tools: Git · Docker · AWS · GCP · Jupyter · VS Code

Exploring fundamental questions at the intersection of theory and practice:

Optimization Theory

• Why does SGD converge with chosen hyperparameters?
• Can we derive theoretical learning rate schedules?

Generalization

• Why do over-parameterized models (p >> n) work in finance?
• Sample complexity bounds for time-series prediction

Financial Econometrics

• Quantile regression for tail risk modeling
• GARCH + neural network integration

Blockchain-Finance Intersection

• Decentralized finance (DeFi) analytics
• On-chain ML for trading strategies

• 🔬 Building ML research projects exploring theory-practice gaps
• 📚 Reading: Optimization theory, financial econometrics, learning theory
• 💡 Developing: Quantile regression toolkit, optimization visualizers
• 🎤 Preparing: Research proposals connecting theory to trading systems
• 🌐 Exploring: Intersection of blockchain and quantitative finance

Open to:

• Research collaborations (ML theory, finance)
• Internship/full-time opportunities in quant research or ML engineering
• Speaking engagements at conferences or universities
• Open-source contributions and partnerships
• Discussions on ML, finance, blockchain, or web3

Email: contact@salikriyaz.com | LinkedIn: https://linkedin.com/in/salickr