Sai Nitish

Built responsive user interfaces using HTML, CSS, JavaScript, and TypeScript to evaluate AI-generated interfaces for functional and visual consistency. Designed evaluation metrics and scoring frameworks to assess AI output quality.

Founded a research-driven AI initiative focused on LLM reasoning, evaluation, and prompt engineering. Led end-to-end AI research workflows and delivered applied ML/LLM prototypes for early-stage clients.

Analyzed LLM responses to identify reasoning failures and recurring error patterns. Designed structured prompts to evaluate multi-step reasoning and applied reinforcement learning concepts with verifiable reward metrics.

Conducted hands-on research and experimentation in LLM evaluation, prompt engineering, reinforcement learning, and AI reasoning. Built full-stack prototypes using Python and Django.

Developed scalable APIs and enterprise-grade applications using Angular and .NET. Refactored legacy modules to improve maintainability, reducing load times by 25% and integration issues by 41%.

Built full-stack applications with Python, Angular, and Django. Automated backend workflows and conducted internal training sessions to upskill team members.

Bachelor of Technology in Computer Science and Engineering from Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, India, from July 2019 to May 2023.