James V.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Educational technology and student learning engagement analytics

Reinforcement learning for trading/market simulation

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

RLHF

Freelancer Overview

Research Assistant (AI prompt framework and engagement data preparation), University of California, Santa Barbara. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Science, University of California, Santa Barbara (2026) and Bachelor of Arts, University of California, Santa Barbara (2026). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Prompt + Response Writing (SFT) and RLHF.

Labeling Experience

Research Assistant - University of California, Santa Barbara

As a research assistant, you supported academic research under Dr. Uma Ravat. You designed and implemented an AI prompt framework aimed at improving student engagement in classroom and at-home learning settings. You are currently collecting and preparing engagement data for statistical analysis using Python to evaluate learning outcomes and effectiveness. • Designed and implemented an AI prompt framework for education • Collected and prepared engagement data for statistical analysis • Applied Python for data preparation and analysis • Prepared research findings for academic journal submission

2025 - Present

Research Assistant (AI prompt framework and engagement data preparation), University of California, Santa Barbara

Don't discloseTextPrompt + Response Writing (SFT)

Designed and implemented a novel AI prompt framework aimed at improving student engagement in classroom and at-home learning settings. The work includes collecting engagement data and preparing it for statistical analysis to evaluate learning outcomes. The role supports academic research in educational technology by preparing findings for journal submission. • Created and iterated prompt framework components tailored to the learning context • Collected and prepared engagement data for downstream evaluation • Evaluated effectiveness with Python-based statistical analysis • Prepared journal-ready research findings

2025 - Present

Personal Project (agent-based simulation and reinforcement learning market makers)

OtherRLHF

Built an agent-based market simulation using a custom limit order book, order-matching engine, and multiple interacting trading agents. Implemented reinforcement learning components including Q-learning to optimize quoting behavior under inventory risk management and spread control constraints. Used repeated simulation comparisons to measure performance against a heuristic baseline. • Implemented Q-learning with discrete state/action spaces for market making • Incorporated inventory risk management and spread control into the RL policy • Designed multiple trading agents with different preferences for simulation experiments • Conducted performance evaluation across repeated simulation runs versus heuristics

2024 - 2024

Education

Work History