Shruti Kaushik

Experienced AI professional with 11+ years of proven impact in the pharmaceutical, clinical, and healthcare domains. Specialized in developing end-to-end AI solutions, with leading initiatives in GenAI and emerging Agentic AI systems for clinical trials. Demonstrated ability to execute innovative projects across modalities—text, video, audio, and imaging—while mentoring teams, influencing strategy, and representing organizations at global conferences.

• Medicine Expenditure Prediction via Variance-Based GAN – IEEE Access
• AI in Healthcare: Time-Series Forecasting with Ensemble Models – Frontiers in Big Data
• 15+ peer-reviewed papers in Springer, IEEE, Elsevier across EHR analytics and digital health

• Women in Machine Learning @ NeurIPS (WiML), 2019, Speaker
• International Statistics Conference, Sri Lanka, 2024, Invited Speaker
• Was awarded travel grant by IIT Mandi to present two papers at Machine Learning and Data Mining in Pattern Recognition Conference held at New York, USA, 2019.
• Invited speaker at Cognitive Modeling Winter School, IIT Mandi, 2020
• Recipient of Best TA Award, 2019, for extra-ordinary efforts in Data Mining for Decision Making course at IIT Mandi.
• Gold medal in women’s Table-Tennis, inter-year sports event, IIT Mandi, 2018.
• Was selected to attend and present a poster at the Data Science Summer School held at Ecole Polytechnique, France (Received travel grant from IIT Mandi, 2017
• Was awarded with Best player of the year in women’s category for extraordinary performance in the academic session 2016-2017.

• Reviewer for journals: IEEE Access, Springer Nature, Elsevier, Frontiers, Heliyon
• Assessed submissions across NLP, time-series modeling, and generative AI

• AI for Pharma & Clinical Trials: Trial feasibility, recruitment, patient journey modeling, adverse event predictions
• GenAI & Agentic AI: Protocol intelligence, document parsing, digital twins, autonomous AI agents
• ML Engineering: End-to-end pipelines using Azure ML, AWS SageMaker, Databricks, ADF
• NLP & CV: NER, OCR, PII redaction, transcription, sentiment analysis
• Data Infrastructure: Azure Blob Storage, Logic Apps, DevOps workflows
• Dashboards & Visualization: Power BI, custom clinical analytics tools