Krish Bagga

As a Prompt Engineer, I engineered prompts to induce controlled errors in multimodal LLM models, applying mathematical frameworks to enhance model accuracy. I utilized data science methodologies and statistical analysis to refine logic and language through iterative reviews, leveraging Python for performance evaluation.

As a Research Consultant, I developed and implemented over 15 quantitative models using Python, achieving a 20% ROI. I ranked 23rd globally on the WorldQuant Brain platform, utilizing libraries like NumPy and Pandas for data analysis, outperforming traditional investments.

Developed a Personal Finance Analytics Dashboard using Power BI to track spending and net worth growth. Created dashboards integrating key financial metrics for real-time monitoring and optimization of financial health.

Analyzed and developed a drone system for post-disaster seed sowing and fire detection. Pioneered methodologies for drone construction and achieved a 97.9% accuracy in fire detection.

Developed a deep learning-based ASL recognition system using YOLO and Google Inception v3, achieving 94% accuracy. Created an interactive 3D learning platform to enhance user engagement.

Pursued a Bachelor of Technology in Computer Science with a specialization in Artificial Intelligence and Machine Learning, focusing on advanced computing techniques and methodologies.