Shantanu Chandra profile photo 1 on Tal

Shantanu Chandra

Principal AI Scientist : Multi-Agent Healthcare systems | Univ of Amsterdam | BITS, Pilani

Bengaluru, Karnataka

6+ years of work experience

Oracle
Apr 20251 yr 4 mosPresent

Principal AI Scientist (IC4) — Oracle Health Clinical Digital Assistant 1. Build and operationalize multi-agent AI capabilities for clinician-facing EHR workflows, bridging applied research, product design, and engineering delivery. 2. Design agentic workflows, orchestration patterns, and tool-use strategies for clinical digital-assistant experiences. 3. Translate complex clinical-workflow needs into technical designs, prototypes, evaluation plans, and implementation roadmaps. 3. Partner with engineering, product, design, and clinical-domain stakeholders to integrate agent capabilities into product experiences. 4. Develop and evaluate multi-turn agent interactions, including tool calls, context handling, reliability, and failure modes. 5. Create evaluation scenarios, quality criteria, simulations, and analysis loops to improve agent behavior before product rollout. 6. Investigate edge cases and system issues; turn findings into more dependable, usable, and production-ready agent experiences. 7. Contribute to technical strategy, architecture reviews, and cross-functional decision-making for agentic AI capabilities. 8. Lead multiple invention development and patent disclosures for novel agentic AI and clinical-assistant technologies (learning loops and context management).
ZS
Jul 20231 yr 9 mosMar 2025

Building AI for supply chain management (SCM) and revenue management (RM) and leading a team of data scientists to unlock the true potential of GenAI-based simulations.
ZS
Nov 20202 yrs 8 mosJun 2023

Working on frontier innovation projects using deep learning methods in the space of healthcare. Projects involving Hypergraph neural networks for representation learning, quantifiable evaluation techniques for data privacy of cross-sectional data, GenAI frameworks for patient-level medical data generation (Patient Digital Twins), GenAI frameworks for Supply Chain Management (predictive maintenance, yield optimization via batch simulations, inventory optimization, etc)
Institute for Logic, Language and Computation (ILLC) - University of Amsterdam (UvA)
Nov 201910 mosAug 2020

Amsterdam Area, Netherlands

Masters Thesis on modelling the structure and linguistic behaviour of online communities to detect misinformation using Graph Neural Networks. In collaboration with: Facebook AI Research (London) and University of Cambridge.
University of Amsterdam
Feb 20203 mosApr 2020

Graduate Teaching Assistant for the Masters course NLP-2
University of Amsterdam
Jan 20203 mosMar 2020

Amsterdam Area, Netherlands

Teaching Assistant for the Masters course Information Retrieval 1
University of Amsterdam
Oct 20194 mosJan 2020

Teaching Assistant for the Masters course Natural Language Processing
BrainCreators
Jul 20192 mosAug 2019

Amsterdam, North Holland Province, Netherlands

Project 1 - Multiple object detection and tracking of farm animals for behavioral analysis Project 2 - Pose estimation of animals for fitness evaluation

Education

University of Amsterdam

Master's degree (cum laude), Artificial Intelligence

University of Amsterdam

20182 yrs2020
Birla Institute of Technology and Science, Pilani

Bachelor of Engineering (B.E.) (Hons), Computer Science

Birla Institute of Technology and Science, Pilani

20124 yrs2016

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Shantanu Chandra on Tal

Headline

Principal AI Scientist : Multi-Agent Healthcare systems | Univ of Amsterdam | BITS, Pilani

About

I am a Principal AI Scientist with over six years of experience specializing in multi-agent systems, Generative AI, and deep learning, particularly within the healthcare and supply chain domains. Holding a Master’s degree in AI from the University of Amsterdam, I bridge the gap between rigorous academic research and practical, scalable production environments. My work focuses on building intelligent clinical digital assistants and patient digital twins, consistently prioritizing real-world impact through innovative architecture and robust evaluation frameworks.

Location

Bengaluru, Karnataka

Work experience

Principal AI Scientist at Oracle, Apr 2025 - Present · 1 yr 4 mos, Principal AI Scientist (IC4) — Oracle Health Clinical Digital Assistant 1. Build and operationalize multi-agent AI capabilities for clinician-facing EHR workflows, bridging applied research, product design, and engineering delivery. 2. Design agentic workflows, orchestration patterns, and tool-use strategies for clinical digital-assistant experiences. 3. Translate complex clinical-workflow needs into technical designs, prototypes, evaluation plans, and implementation roadmaps. 3. Partner with engineering, product, design, and clinical-domain stakeholders to integrate agent capabilities into product experiences. 4. Develop and evaluate multi-turn agent interactions, including tool calls, context handling, reliability, and failure modes. 5. Create evaluation scenarios, quality criteria, simulations, and analysis loops to improve agent behavior before product rollout. 6. Investigate edge cases and system issues; turn findings into more dependable, usable, and production-ready agent experiences. 7. Contribute to technical strategy, architecture reviews, and cross-functional decision-making for agentic AI capabilities. 8. Lead multiple invention development and patent disclosures for novel agentic AI and clinical-assistant technologies (learning loops and context management).

Sr. AI Research Scientist at ZS, Jul 2023 - Mar 2025 · 1 yr 9 mos, Building AI for supply chain management (SCM) and revenue management (RM) and leading a team of data scientists to unlock the true potential of GenAI-based simulations.

AI Research Scientist at ZS, Nov 2020 - Jun 2023 · 2 yrs 8 mos, Working on frontier innovation projects using deep learning methods in the space of healthcare. Projects involving Hypergraph neural networks for representation learning, quantifiable evaluation techniques for data privacy of cross-sectional data, GenAI frameworks for patient-level medical data generation (Patient Digital Twins), GenAI frameworks for Supply Chain Management (predictive maintenance, yield optimization via batch simulations, inventory optimization, etc)

Graduate Student Researcher at Institute for Logic, Language and Computation (ILLC) - University of Amsterdam (UvA), Nov 2019 - Aug 2020 · 10 mos, Amsterdam Area, Netherlands, Masters Thesis on modelling the structure and linguistic behaviour of online communities to detect misinformation using Graph Neural Networks. In collaboration with: Facebook AI Research (London) and University of Cambridge.

Graduate Teaching Assistant at University of Amsterdam, Feb 2020 - Apr 2020 · 3 mos, Graduate Teaching Assistant for the Masters course NLP-2

Graduate Teaching Assistant at University of Amsterdam, Jan 2020 - Mar 2020 · 3 mos, Amsterdam Area, Netherlands, Teaching Assistant for the Masters course Information Retrieval 1

Graduate Teaching Assistant at University of Amsterdam, Oct 2019 - Jan 2020 · 4 mos, Teaching Assistant for the Masters course Natural Language Processing

ML Research Intern at BrainCreators, Jul 2019 - Aug 2019 · 2 mos, Amsterdam, North Holland Province, Netherlands, Project 1 - Multiple object detection and tracking of farm animals for behavioral analysis Project 2 - Pose estimation of animals for fitness evaluation

Education

Master's degree (cum laude), Artificial Intelligence, University of Amsterdam

Bachelor of Engineering (B.E.) (Hons), Computer Science, Birla Institute of Technology and Science, Pilani