Computer Science & Russian Studies student at Davidson College (Class of 2026) | NCAA Division I Wrestler

• Currently working on: Arbihedron - a triangular arbitrage detection project using both traditional algorithms & Graph Neural Networks
• Learning: Advanced ML architectures, algorithmic trading strategies, DeFi protocols
• Interests: Blockchain/DeFi, quantitative finance, national security, geopolitics, open-source intelligence
• Languages: English (Native), Russian (C1), Azerbaijani (B1), Chinese (Mandarin) (A2)

A triangular arbitrage system for cryptocurrency and forex markets, employing both traditional and Graph Neural Network detection engines. Exploits price discrepancies across currency triples through automated circular trading strategies with real-time opportunity detection.

Tech: Python | Algorithmic Trading | Machine Learning | GNN

Collection of applied ML projects spanning medical diagnostics, environmental forecasting, agricultural analysis, and aerospace systems:

• Cancer Classification: 95%+ accuracy identifying 6 cancer types from miRNA data
• E. coli Forecasting: Recreation of USGS models for Great Lakes beach safety
• Farmland Analysis: Computer vision for agricultural feature detection from aerial imagery
• NASA Telemetry Anomaly Detection: Unsupervised ensemble learning for spacecraft monitoring

Tech: Python | PyTorch | scikit-learn | Computer Vision | Time Series Analysis

Proof-of-concept ML system predicting apartment rent prices with 97.31% accuracy. Features real-time API, rich analytics dashboard, and complete end-to-end pipeline from data collection to deployment.

Tech: Python | Machine Learning | FastAPI | Real Estate Analytics

Real-time options pricing and volatility analysis dashboard featuring Black-Scholes models, implied volatility extraction, and interactive 3D visualizations for derivatives trading analysis.

Tech: Python | Financial Modeling | Quantitative Analysis | Streamlit

Interactive dashboard for backtesting trading strategies, analyzing risk-return profiles, and visualizing real-time market data. Includes correlation heatmaps, SMA backtesting, and custom strategy evaluation.

Tech: Python | Algorithmic Trading | Data Science | Technical Analysis

PowerShell automation suite for Active Directory management, achieving 74% speed improvement in user provisioning. Features GUI support, CSV-driven logic, and bulk operations for license assignment and group management.

Tech: PowerShell | Active Directory | Microsoft 365 | Automation

• 🎖️ Benjamin A. Gilman Scholar - U.S. Department of State (2023)
• 🏅 Dobro Slovo National Slavic Honor Society - ACTR (2025)
• 💻 UR2PhD Undergraduate Pre-Research Experience - CRA (2025)
• 📜 Yale Financial Markets (with Honours) - Yale University/Coursera (2025)
• 🎓 QuestBridge National College Match Scholar (2021)
• 🦅 Eagle Scout - Boy Scouts of America, built wooden picnic tables for local high school (2022)

Research Fellow @ College Crisis Initiative | Jan 2025 - Present

• Leading research on critical-need language programs at 500+ US institutions
• Managing data collection teams and synthesizing findings for institutional analysis

AI Student Team @ Davidson Technology & Innovation | Sep 2025 - Present

• Developing educational resources on generative AI for campus community
• Evaluating emerging AI tools and advising on integration strategies

Investment Analyst @ Davidson Investment & Finance Association | Aug 2024 - Present

• Conducting equity research for $800K+ college endowment management
• Performing valuation modeling and preparing investment recommendations

IT Intern @ Paradigm Companies | Apr-Aug 2025

• Developed automation tools increasing AD management efficiency by 74%
• Led cybersecurity initiatives and threat assessment programs

Data Collector @ College Crisis Initiative | Sep 2022 - Jan 2025

• Gathered information for 12+ research projects on US higher-education institutions using data analysis tools and OSINT methods
• Collected data from 1500+ US colleges & universities on standardized test policies, COVID-19 policies, board demographics, and recruitment patterns

I'm deeply interested in:

• Machine learning applications for finance & supply chains
• Quantitative finance
• Blockchain, Web3, and DeFi innovations
• OSINT
• Russian language & Eurasian geopolitics

Reach out: Email | LinkedIn | Portfolio