Anita Bai

• Currently working on Digitization and Transformation of documents using Agentic AI, multi-Agents, LLM, and Generative AI models, reducing time-to-process by 80%.
• Designed and implemented monitoring frameworks for LLM models and ADK agent’s performance.
• Collaborated with cross-functional teams for seamless AI integration.
• Provided practical guidance and technical mentorship to a team of Junior Data Scientists.

• Currently working on Digitization and Transformation of documents using Agentic
AI, multi-Agents, LLM, and Generative AI models, reducing time-to-process by 80%.
• Designed and implemented monitoring frameworks for LLM models and ADK
agents performance.
• Collaborated with cross-functional teams for seamless AI integration.
• Provided practical guidance and technical mentorship to a team of Junior Data
Scientists.
• Designed and implemented scalable machine learning pipelines, reducing time-to
market by 30%.
• Built and deployed customer-facing Generative AI applications, including text
classification and sentiment analysis, leveraging LangChain, prompt engineering,
RAG (Retrieval-Augmented Generation) and LLMs.
• Established end-to-end MLOps frameworks for model versioning, monitoring, and
artifact lineage.
• Designed and implemented monitoring frameworks for ML models performance.
• Monitoring the performance of Junior Data Scientists and providing them with
practical guidance, as needed.

• Led research projects on applying machine learning and deep learning
methodologies to real-world challenges.
• Delivered advanced courses on ML, Python programming, and NLP with hands-on
practical focus.
• Mentored final-year students in AI-driven projects, improving placement rates by
30%.
• Served as Secretary of the Artificial Intelligence and Data Science Department,
contributing to the advancement of departmental initiatives.

• Expertly managed essential core courses in the Computer Science and Engineering
(CSE) department.
• Facilitated engaging hands-on workshops that emphasized computer fundamentals,
including mastery of Linux commands and the principles of C and C++.
• Facilitated courses in linear regression, logistic regression, classification, and
clustering methodologies with practical applications.
• Consistently guided students to complete significant projects, enhancing their
learning experience and practical skills.

• Data Mining, Object Oriented Programming, C programming.

• Business Information System, Database Management System