I am a Computer Science student with a focus on high-performance systems and IoT, offering a unique triple-threat service to tech startups and AI labs. I don't just find bugs; I improve the entire product lifecycle from the human and machine perspective.

What I bring to your project:

AI Model Training (RLHF): I specialize in Reinforcement Learning from Human Feedback. I evaluate AI-generated code (C++, Python, JS) and logic-based responses to ensure high factual accuracy and eliminate hallucinations.

Comprehensive Beta Testing: I provide deep-dive UX/UI analysis for SaaS and mobile platforms. I go beyond surface-level testing to identify technical friction points, edge-case bugs, and usability bottlenecks, providing detailed screen-recorded feedback.

Technical Documentation: I translate complex technical workflows into clear, professional documentation. From API READMEs and GitHub wikis to IEEE-standard project reports and user manuals, I ensure your technical assets are polished and accessible.


Tech-Fluent: Currently pursuing a degree in CS; I understand the underlying logic of the products I test.

Bilingual Training: Capable of training AI models in both English and Hindi for diverse datasets.

Detail-Oriented: I focus on the "why" behind every bug and the "how" of every instruction.