Ayush Raghbotra

Analytical problem solver with experience in data analytics, AI model evaluation, and quantitative reasoning. Skilled at working with data, uncovering insights, and tackling complex problems through a structured and data-driven approach. Proficient in SQL, Python, Power BI, and statistical analysis, with a strong interest in turning data into actionable business decisions.

Prompt Engineer & AI Quality Analyst - Soul AI - Hyderabad, India

(2025-07 - 2026-01)

• Delivered 200+ hours across 2 AI alignment projects, developing prompts and evaluation datasets for 4–5 large language models.
• Performed RLHF-based response ranking, red teaming, and quality validation using Label Studio to improve model reliability and alignment.

Generalist AI Trainer - Outlier - New Delhi, India

(2024-11 - 2025-05)

• Contributed 150+ hours across 3 AI training projects involving 7 foundation models spanning multilingual translation, STEM reasoning, coding, and conversational AI.
• Completed 50+ evaluation assignments — annotation, benchmarking, and response validation — to improve model accuracy and reasoning quality.

Subject Matter Expert – Data Analytics & Statistics - Chegg India - Remote

(2024-01 - 2024-10)

• Solved 1,600+ problems across Statistics, Probability, Algebra, and Data Analytics while maintaining a 4.4/5 quality rating.
• Applied regression analysis, hypothesis testing, statistical inference, and quantitative reasoning to solve complex analytical problems.

B.Tech - Computer Science & Engineering (Hons. Data Science) - Chandigarh University (2021-08 - 2025-08)