Divya Rao Kaki
Data Science Consultant @alphastream.ai
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WORK HISTORY
Data Science Consultant @alphastream.ai
IN
Managed and coordinated the entire software development lifecycle from design to deployment of an extensive end-to-end pipeline consisting of over 15 modules.• Developed and maintained Docker containers to ensure consistent deployment of microservices architecture across various environments, including development, testing, and production, utilizing Amazon ECS.• Designed and optimized RESTful APIs to enhance performance and scalability, utilizing techniques such as caching, asynchronous processing, and FastAPI with Mangum for lambda functions in AWS.• Trained a multi-tasking neural network to identify the correct hierarchy of texts in a PDF, achieving an impressive overall accuracy of 99.2%.• Created an efficient pipeline by fine-tuning and integrating numerous open-source models with advanced LLMs (Large Language Models) for question answering systems, leading to a significant increase in system accuracy and reliability to 97%.
EDUCATION
Narayana Junior College
XII
The University of Edinburgh
Master of Science - MSc
Kendriya Vidyalaya
X
Lovely Professional University
Bachelor of Technology
ABOUT DIVYA RAO KAKI
I am an MSc Artificial Intelligence student at the University of Edinburgh with a strong passion for advancing AI and machine learning applications. My expertise spans cutting-edge technologies such as Transformers, Retrieval-Augmented Generation (RAG), Multi-Agent Systems, and efficient model optimization techniques like pruning and quantization. I have hands-on experience building scalable AI pipelines, including a Multi-Agent RAG system for financial document extraction that significantly improved accuracy from 70% to 90%, and a novel deep learning approach to move-level chess cheating detection achieving a 30% improvement over traditional methods. Skilled in Python, PyTorch, and cloud-native tools like Docker, Kubernetes, and AWS, I drive end-to-end development and deployment of robust AI solutions. As a Data Scientist and Consultant, I’ve optimized generative AI models to reach 97% accuracy and reduced processing costs by 50% through performance tuning. I am also an active contributor in AI research communities, presenting on topics like multimodal learning and biomedical image segmentation. I’m excited to connect with fellow AI enthusiasts and professionals to explore innovative research, collaborate on impactful projects, and contribute to the future of intelligent systems.
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