Summary
Arbaaz Shaikh is a Senior Data Scientist with six years of experience applying AI and machine learning to real-world business and healthcare problems across enterprise and product teams. He has built end-to-end ML and MLOps solutions—from medical imaging cell identification and chest disease classifiers to real-time computer vision systems for sports and venue monitoring—while operationalizing models on Azure ML and cloud platforms. At Globant he led Generative AI and RAG initiatives, integrating LLMs, vector databases (FAISS), and LangChain to automate test-case generation and enhance chatbot QA, and now continues this work at Mastercard. Comfortable across the stack, he pairs deep technical skills (YOLO, SAM, AzureOpenAI, Dialogflow CX) with practical automation like PDF generation from complex Excel and embedding of audio/screen recordings for retrieval. Known for mentoring juniors and bridging research-to-production, he brings a pragmatic, product-focused gaze to AI projects.
6 years of coding experience
5 years of employment as a software developer
10th Secondary School Education (SSC), 10th Secondary School Education (SSC) at St. Pauls School
Master's degree Data Science, Master's degree Data Science at Zeal College of Engineering & Research, Pune
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Dnyanshree Institute of Engineering and Technology
12th (Physics Chemistry Statistics Algebra), 12th (Physics Chemistry Statistics Algebra) at St. Paul's School & Jr. College of Science, Satara
English, Hindi, Marathi, Kannada