Agent Architect | Quantitative Modeler | AI Systems Engineer
Designing intelligent systems that bridge AI, automation, and structured reasoning
AI agents are more than just prompts and responses—they require structured reasoning, modular execution, and real-time adaptability. My focus is on designing scalable, interpretable, and modular AI architectures that can dynamically retrieve, process, and act on information.
🔹 Multi-Agent Architectures – Building intelligent, cooperative agents with dynamic workflows
🔹 Graph-Based AI – Leveraging structured data to improve reasoning and context understanding
🔹 RAG Pipelines & Knowledge Retrieval – Optimizing AI workflows for efficiency and accuracy
🔹 Autonomous Decision Systems – Integrating real-time adaptation and policy-based execution
AI isn't just about language—it's about pattern recognition, probabilistic modeling, and structured intelligence. My work integrates quantitative finance, computational models, and AI-driven decision systems to optimize real-world applications.
📊 Stochastic & Algorithmic Models – Applying ML to financial markets, simulations, and predictive modeling
📈 Time Series Forecasting – Building statistical & deep learning models for market predictions
⚡ Risk & Portfolio Optimization – Designing AI-driven investment strategies
🔢 Probabilistic Graph Models – Structuring uncertainty for AI decision-making
🤖 AI & Machine Learning Ecosystem
Frameworks & Libraries
LLM Providers & AI Platforms
Vector Databases & RAG
📊 Data Science & Scientific Computing
Data Processing & Analysis
Interactive Computing
⚡ Backend & API Development
Core Frameworks
🎨 Frontend & User Experience
Modern Web Stack
Desktop Applications
Web Automation & Testing
🗄️ Data Infrastructure & Storage
Databases
Cloud & Infrastructure
🔧 DevOps & Development Tools
Version Control & CI/CD
Package Management
Code Quality & Testing
Documentation & Templates
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Multi-agent architectures with dynamic workflows and structured reasoning |
ML-driven financial modeling and algorithmic trading strategies |
Knowledge graphs and RAG pipeline optimization |
Real-time decision systems with uncertainty modeling |
Showcasing innovation across AI agents, knowledge systems, and quantitative modeling
| Project | Description | Tech Stack | Status |
|---|---|---|---|
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Modular AI Agent Framework Scalable intelligence with dynamic workflows and structured reasoning |
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🟢 Active |
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Automated RAG Pipeline Advanced retrieval-augmented generation with knowledge graph construction |
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🟡 Development |
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Quantitative AI Systems Probabilistic forecasting and portfolio optimization for financial markets |
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🟢 Active |
📝 Configuration Notes
Metrics Configuration:
- Auto-updates every 12 hours via
.github/workflows/metrics.yml - Includes: lines of code, languages, activity, habits, achievements
- Theme: Consistent purple (#A855F7) across all elements
Visual Assets Organization:
images/banners/- Header and section bannersimages/badges/- Custom badges and shieldsimages/stats/- Statistical visualizationsimages/dividers/- Section separators and decorative elements
Color Palette:
- Primary:
#A855F7(Purple) - Secondary:
#8B5CF6(Lighter Purple) - Accent:
#A7F3D0(Mint Green) - Background:
#0D1117(Dark) - Text:
#E9D5FF(Light Purple)