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Treasurer — FinTech Club
Jun 2025 — Present · 4 mos
• Manage the club’s budget and all financial operations to fund initiatives and workshops for a community of 100+ members.
• Organize and host speaker events with industry professionals from leading finance and technology firms to create career development and networking opportunities.
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Quantitative Researcher
Oct 2024 — Present
• Researching optimal order execution by analyzing the market microstructure of Bitcoin trade data to develop and implement advanced trading strategies.
• Constructed benchmark execution algorithms in Python, including VWAP and TWAP, to analyze the market impact and transaction costs of trading Bitcoin.
• Engineered a reinforcement learning and neural network architecture (PPO, DDQN) to create an adaptive agent that optimizes trade execution strategies in real-time.
• Modeling quantitative performance using statistical methods and Python (NumPy, Pandas, SciPy) to analyze trade execution efficiency and market dynamics.
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Market Research Analyst — FinTech Club
Aug 2024 — Present · 1 yr 2 mos
• Led a project under Dr. Daniel Rodriguez replicating Evans & Archer (1968) via Python simulation, analyzing portfolio diversification and risk reduction.
• Utilized Pandas, NumPy, and SciPy on historical stock data to model risk (std dev log returns) vs. portfolio size, quantifying diversification benefits.
• Demonstrated and presented findings confirming that most unsystematic risk is mitigated with 10-20 assets, aligning with the foundational study.
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Summer Researcher, Virginia Tech MAOP Program
May 2025 — Jul 2025
• Conducted a mixed-methods research study on pedagogical patterns in introductory Computer Science (CS1) to identify opportunities for improving student retention and engagement.
• Analyzed a corpus of examples from CS1 textbooks of top-tier universities (MIT, UC Berkeley, CalTech) to understand current teaching paradigms.
• Developed a quantitative framework with eight distinct categories through an open coding process to classify the thematic focus of programming examples.
• Utilized computational text analysis software (LIWC-22) and large language models to quantitatively assess the linguistic and contextual nature of course materials.
• Synthesized findings to reveal a high prevalence (57%) of abstract mathematical examples, providing data-driven recommendations for incorporating more culturally relevant and real-world applications in curricula.
• Co-authored and designed a formal research poster, effectively communicating the project’s methodology, results, and implications to an academic audience.
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Research Mentor — REACH Lab
Jan 2025 — Jun 2025 · 6 mos
• Guided undergraduate researchers within the Reimagining Equity and Accessibility in Computing for Humanity (REACH) Lab at Virginia Tech.
• Mentored peers on literature review best practices, database search strategies, and synthesizing findings for equitable computing research.
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Undergraduate Research Assistant — REACH Lab
Mar 2024 — Jun 2025 · 1 yr 4 mos
Blacksburg, Virginia, United States · Hybrid
• Conducted an extensive literature review under the leadership of Dr. Ihudiya Finda Williams on Rural Computer Science Education.
• Synthesized over 80 articles to support a $500,000 National Science Foundation grant proposal.
• Trained six research assistants on database search methodologies, prompt design for scholarly queries, and rigorous literature review techniques.
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IMC Trading Competition — Top 15 US (0.005%)
Apr 2025
• Placed 15th in the US out of 12,600 teams in IMC’s Prosperity 3 trading competition, designing strategies for multi-asset markets.
• Optimized trade execution under latency constraints by engineering fair value estimators (VWAP, EMA, stochastic modeling) and implementing dynamic bid shading.
• Designed signal-driven market-making strategies by analyzing mean-reversion patterns and synthetic mispricing via exploratory data analysis (rolling z-scores, spread compression, correlation clustering).
