Sai Sanjana Prakash

Utilized data analysis techniques and machine learning to optimize production processes for new materials and overcome obstacles through experimentation. Supported the design and implementation of process improvements, enhancing material efficiency, reducing waste, and increasing production throughput by 50%.

Designed and ran over 15 experiments on cellular behavior, contributing to a comprehensive dataset for future cell modeling research. Developed ML-based tracking software using computer vision to analyze and visualize 10+ geometric and biological properties of organisms.

Engineered software solutions to streamline deal pipeline efficiency and build scalable backend services, improving efficiency by 40%. Assisted in due diligence efforts by leveraging software tools to assess startups' technical capabilities.

Researched and implemented transfer learning techniques to develop cost-effective autonomous guidance, navigation, and control algorithms. Conducted simulations to validate the performance of low-cost autonomy systems for aerial applications, reducing operational expenses.

Utilized machine learning models and computer vision algorithms to find structural/thermal anomalies in commercial buildings. Re-designed and developed RESTful v4 APIs in Python, incorporating JSON-based payloads to achieve a 25% enhancement in data transfer.

Conducted strategic research initiatives in generative AI, hallucinations, and vector databases to enhance BA product models. Utilized Python and machine learning/NLP libraries, including LangChain and Pinecone, to create and implement cutting-edge algorithms.

Anticipated graduation in May 2026. Relevant coursework included object-oriented programming, scientific computing with Python, algorithms and data structures, and computing for engineers.

Graduated in December 2024. Relevant coursework included systems physiology, conservation in engineering, statics, circuit prototyping, signal processing, and machine learning.