Headline

Designing Healthcare AI Solutions | Associate Director AI Engineering @IQVIA | ex-J&J

About

Hands-on AI Engineering leader with 11+ years of experience in building and scaling AI-driven, cloud-native platforms in the healthcare and life science domain. Proven track record of owning e2e engineering and team building – while working closely with senior leadership (VP/SVP level) to ship real-world, compliant healthcare AI solutions at scale.

Location

Bengaluru

AI stack

claude code

claude

cursor

langchain

langgraph

mcp

Work experience

Associate Director AI Engineering at IQVIA, May 2025 - Present · 1 yr 4 mos, Bengaluru, Karnataka, India · Hybrid, 1. Leading 15+ cross-functional multi-geography team to deliver AI-driven healthcare projects across UK and US markets, delivering regulated ML solutions for payers, government bodies, non-profit organization, and pharmaceutical clients. 2. Owning the AI product strategy and roadmap for clinical decision support systems built on large-scale EMR data, working closely with senior leadership, clinicians, and client stakeholders. 3. Building platform-level capabilities to operationalize clinical rules and patient-finding logic, significantly improving delivery velocity, quality assurance, and compliance in regulated environments. 4. Directing architecture and clinical validation of ML systems combining structured EMR data and unstructured clinical notes, enabling governed deployment with strong clinician trust and adoption.

Manager AI Engineering at IQVIA, Nov 2022 - May 2025 · 2 yrs 7 mos, Bengaluru, Karnataka, India · Hybrid, 1. Led end-to-end development of a cloud-native clinical decision support product, scaling the engineering team from 3 to 8 post early clinical validation, while fostering a high-performance culture through mentoring and career development. 2. Defined and operationalized cross-country analytics strategies across Asia and Africa, translating large-scale unstructured data into actionable insights for global health and policy stakeholders. 3. Designed and built agentic, LLM-powered platforms to augment training data and improve performance of rare-disease detection models, applying modern orchestration and retrieval patterns. 4. Partnered closely with medical experts, KOLs, and commercial teams to develop a speciality based physician persona simulation using LLM and RAG, improving quality of interaction between physicians and med reps. Tools used- OpenAI GPT, LangGraph, LlamaIndex, RAG, ChromaDB, PySpark

NLP Trainer at Scaler, Feb 2022 - Sep 2022 · 8 mos, Bengaluru, Karnataka, India, 1. Designed the NLP curriculum for Scaler’s AIML program, covering progression from classical NLP to transformer-based models aligned with industry use cases. 2. Created and delivered core modules on Transformers and NER, focusing on practical application and real-world text understanding problems.

Lead Data Scientist at Johnson & Johnson, Nov 2021 - Nov 2022 · 1 yr 1 mo, Bangalore Urban, Karnataka, India, 1. Achieved $1M+ in annual operational savings by architecting and productionizing an enterprise text-similarity–based root-cause recommendation platform leveraging Elasticsearch and Stanza model on regulated audit data. 2. Designed scalable and dynamic knowledge retrieval tool by designing a context aware QnA tool on 800K+ clinical documents using vector similarity retriever, re-ranking and meta-data filtering through cross-functional collaboration with quality, IT, and compliance stakeholders. Tools/Models used- Python, SpaCy, Stanza, BERT ElasticSearch, BM25, FAISS

ML Instructor at upGrad, Sep 2020 - Feb 2022 · 1 yr 6 mos

Senior Data Scientist at Johnson & Johnson, Apr 2020 - Nov 2021 · 1 yr 8 mos, Bengaluru, Karnataka, India, 1. Achieved $2.4M+ in annual savings, as measured by human-hours saved in comprehending product complaints and adverse-event workflows, by designing and deploying an AI-driven real-time insights generation platform that enabled topic aggregation and surfaced actionable trends across multiple time granularities for over 150 brands and 20K+ SKUs. 2. Improved decision-making on brand and ingredient strategy, as measured by expanded visibility into sentiment drivers across 13 brands, by partnering with marketing and analytics teams to build a scalable social-media intelligence platform using key-phrase co-occurrence modeling and engagement analytics.

Senior Associate at Cognizant, Apr 2017 - Apr 2020 · 3 yrs 1 mo, Gurugram, Haryana, India, 1. Accelerated go-live of a large pharma incentive compensation plan by 4 months by architecting an automated analytics pipeline covering 80+ configurable metrics, enabling delivery of 8 distinct compensation plans in 8 months - significantly reducing manual dependency and modularized decision making. 2. Increased patient and care-manager engagement by ~50% by developing churn-prediction and therapy-transition models for a rare-disease drug portfolio, preventing 130+ high-value patient switches and directly protecting revenue. 3. Improved FDA reporting compliance by 16% by designing and deploying a multi-class text classification model for product complaints and reviews at a medical device manufacturer, enabling faster triage, accurate categorization, and adherence to regulatory timelines.

Education

Master of Business Administration (MBA), Marketing, Institute of Management Technology, Ghaziabad

B.Tech, Electronics & Communication Engineering, institute of engineering and management

Public links

github: https://github.com/sand7ip