Richard Hans

Collaborated with the ML team to evaluate and test prompt performance using internal tools, applying metrics like accuracy, response similarity, and consistency to assess LLM outputs. Applied knowledge of evaluation metrics and model behavior to refine small scale prompt templates for business specific use cases, improving output quality by ~15% in user validation.

Audited 9 Departments in AIESEC providing actionable insights that contributed to a 20% improvement in overall departmental performance in the first month of working. Managed legal compliance for Business Development, External Relations, and Talent Management, ensuring all operations adhered to regulations and minimizing potential legal risks.

Chaired the HIMTI X Solana Project, providing strategic recommendations for Solana’s system and expanding its ecosystem. Organized an event to educate newcomers on cryptocurrency and blockchain.

Spearheaded end-to-end manual and automated testing for early stage SaaS features, improving release stability by 30%. Collaborated with design and development teams to identify and fix over 40 usability issues, streamlining user onboarding and reducing bounce rate.

Selected from top performing students to assist in teaching foundational concepts in algorithms, data structures, and Python programming to over 40+ undergraduates. Supported lab sessions and debugging workshops, helping students reduce error rates by 30% through structured guidance and hands-on problem solving.

Served as Audit Executive, identifying discrepancies and ensuring compliance with internal policies and regulations. Supported documentation processes and conducted thorough contract reviews to ensure legal alignment as part of the Legality Team.

Grade: 3.77/4.0

Currently pursuing a Bachelor of Computer Science degree with a strong focus on data science, machine learning, and deep learning. Gained proficiency in Python, Java, and SQL, applying these skills to various projects and coursework. Achieved a GPA of 3.77/4.0.