Responsible for the algorithm development

My key contribution:• Integrated FastAPI with AWS to implement OCR (Optical character recognition) functionality for resume extraction.• Optimized SQL queries, improved indexing, and developed SQL scripts and databases.• Processed candidate data on Databricks, leveraging Spark for efficient data analysis.• Created ETL pipelines for data cleaning and transformation, optimizing performance with partitioning and caching.• Optimized Erica model and Implemented efficient keyword matching, focusing on precise job skill alignment.• Developed Erica website using Vue.js + Typescript, based on the CoreUI framework.• Served as the company’s technical and management representative to coach the ANU Techlauncher project.

Led a visionary team at Grow Right, crafting a disruptive job matching system powered by cutting-edge machine learning. Revolutionized job searches by orchestrating personalized job ad recommendations, aligning user profiles, talents, and interests.My key Contributions:1. Expertly utilized Python for agile data processing, ensuring seamless algorithmic execution and data pipeline flow.2. Engineered intricate text vectorization pipelines employing one-hot encoding and word2vec, delivering refined inputs for AI engines.3. Innovated a multiple linear regression model decoding hidden correlations between job titles and descriptions, enhancing recommendation logic.4. Developed a classification model utilizing Boost algorithm, enabling precise job ad categorization and decision-making finesse.5. Nurtured a culture of perpetual learning and feedback, fostering an environment where AI and NLP advancements thrived.6. Coordinated specifications and requirements for project technical needs.

School of Computer Science, College of Engineering and Computer Science

Collaborated under Postdoctoral Fellow Joseph Wang on the Auto Chemistry project, addressing software and hardware adaptation. Utilized existing instruments and a web-based interface to introduce computer vision-based detection methods and ranging algorithms. Our technology calculates proportional area values, providing a cost-effective, versatile, and simplified alternative to automated testing devices.My Key Contributions:1. Monitored and supported the front-end group, ensuring seamless platform usability.2. Established platform infrastructure using Python, contributing to efficiency and functionality.3. Provided client-oriented perspective, facilitating effective communication and alignment.

Conducted financial assessments of borrowers in line with bank policies, analyzing profitability, updating guarantor data, and evaluating projects based on industry and government factors.My key Contributions:1. Analyzed the borrower's financial situation in relation to the bank's internal credit policy requirements for various industries.2. Used ratio analysis to assess the borrowing company's profitability and repayment ability.3. Updated collateral and financial information of the borrowing company's guarantors to further assess the loan program's risk level.4. Assisted with financial analysis and economic evaluation of projects based on industry macroeconomic characteristics and government policies.

Feasibility analyst of company listing，key responsibilities:1.Mentored and guided team members to foster proper completion of assigned duties. 2.Using Eviews and Spass to conduct listing analysis on Anhui Yipu Nuo Kang Biotechnology Co., Ltd., starting from the basic situation of the report company, industry development and competition, combined with the company's various financial indicators and valuation analysis and other perspectives to obtain Yipu Analysis of the feasibility of Nokang listing on the main board. 3.In terms of industry development overview, using PEST and Porter's five forces model analysis to make overview of industry development. 4.Combined with the analysis of the top five companies in the in vitro diagnostic industry on the NEEQ and SWOT analysis to obtain the competitive position of Iprocon; The relevant financial data and the analysis of fundraising projects can be concluded that the company meets the financial requirements for listing on the main board.5.Using SPSS to conduct principal component analysis on the listed company of biological products to obtain a reasonable valuation range for the company. Finally, combined with the above analysis, the main obstacles and countermeasures of the company's listing are obtained