Chiyuki L.

Key Skills

Software

Other

Internal/Proprietary Tooling

Top Subject Matter

Finance/Stock market prediction and reinforcement learning

Computer vision and multimodal AI for intelligent navigation

Top Data Types

Image

Audio

Text

Top Task Types

RLHF

Fine-tuning

Freelancer Overview

Agent Intern, TRS Information Technology Co., Ltd. (Built and tested an RL-based investment decision-making agent).. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, Beijing Information Science & Technology University (2026). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including RLHF and Fine-tuning.

Labeling Experience

Agent Intern, TRS Information Technology Co., Ltd. (Built and tested an RL-based investment decision-making agent).

OtherRLHF

Built and evaluated an AI investment decision-making agent by performing experimentation and optimization. Used scraped large-scale stock market datasets and performed data cleaning and analysis to prepare inputs for training and evaluation. Tuned reinforcement learning hyperparameters and used A/B testing to compare strategy outcomes and iteratively optimize performance. • Scraped and processed historical prices, trading volumes, and financial indicators using Python. • Cleaned noisy datasets using Pandas and NumPy for reliable analysis. • Performed A/B testing to evaluate and compare investment strategies. • Tuned RL agent parameters with Hyperopt (learning rate, exploration rate, discount factor).

2025 - 2025

Participant, Vision Perceiver: Multimodal Large Model–Based Intelligent Navigation Cane (PaddlePaddle large model project).

OtherFine-tuning

Contributed to a multimodal AI navigation cane project by implementing and testing core model pipeline code and documenting system module design. Assisted with organizing and refining proposal content, including algorithmic workflows and application scenarios for the AI system. Supported development activities that involved integrating model components and validating key functionality using project data. • Documented design concepts and implementation logic for visual perception and environment recognition modules. • Translated complex model pipelines into structured technical documentation. • Implemented and tested core functional code for model integration and data processing. • Participated in organizing and refining the technical project proposal.

2023 - 2024

Education

Work History