Deepak Mundada

• Leading high-value, strategically aligned AI/ML product engineering teams driving enterprise
digital transformation and measurable business outcomes across large-scale regulated
environments.
• Leading the AI/ML Centre of Excellence (CoE) — defining strategy, roadmap, and governance to
accelerate enterprise-wide AI adoption while embedding Responsible AI principles.
• Architecting and delivering HealthSphere, an Enterprise AI Platform providing reusable assets
including fine-tuned AI/ML models, reusable agents, RAG pipelines with secure data access,
governance, regulatory compliance, and Responsible AI practices.
• Providing deep technical leadership across large-scale AI/ML architecture, distributed systems,
MLOps, LLM orchestration, RAG pipelines, agentic workflows, and secure enterprise integrations.
• Building and scaling a high-impact multidisciplinary organization of AI Architects, Data
Scientists, ML Engineers, Product Managers, and Engineering Managers.
• Spearheading a high-performance AI consulting culture through structured upskilling, capability
building, and mentorship programs.
• Developed a use-case prioritization framework to identify high-impact AI opportunities aligned
with cross-functional business priorities and strategic outcomes, with strong executive
stakeholder alignment.
• Delivering enterprise AI programs by leveraging vendor products and capabilities for
acceleration, combined with strong vendor management practices.
• Embedding regulatory compliance, governance, and risk controls across the AI product lifecycle.
• Communicating AI strategies, roadmaps, and transformation approaches with senior executives
and C-suite stakeholders.

• Architected end-to-end multi-tenant SaaS cash management platform from the ground up,
covering microservices, event-driven architecture, GenAI, cloud infrastructure, DevOps, and
ITSM.
• Designed and delivered Target-Based Dynamic Action Recommendations using LLMs,
Generative AI, Agentic Frameworks (AutoGen), and RAG to optimize cash flow with natural
language policies.
• Built and deployed an enterprise Agentic Chatbot (Super-App) using OpenAI, Llama-2,
LangChain, and AutoGen, enabling natural language access to financial data with zero
programming.
• Built BERT-based semantic invoice coding system using all-MiniLM-L6-v2 embeddings,
significantly reducing manual effort and improving customer productivity.
• Developed advanced irregular time series cash flow forecasting (SARIMA, Holt-Winters,
XGBoost) at scale for a multi-tenant, multi-account platform.
• Architected 100% Infrastructure-as-Code (Terraform) on AWS Cloud with full PCI DSS
compliance; established CI/CD pipelines and ITSM processes using Jira Service Management.
• Built and led multiple high-performing teams in AI/ML, cloud infrastructure, and platform
engineering from the ground up.
• Implemented a comprehensive MLOps framework automating the full ML lifecycle — data
ingestion, training, deployment, drift detection, monitoring, and retraining — on GPU-enabled
Kubernetes nodes.

• Architected and delivered large-scale AI/ML diagnostic solution for tuberculosis detection from
chest X-rays using CNN (TensorFlow, Keras).
• Led AI/ML solutions for healthcare operations: ICD/CPT claims coding, ER readmission prediction,
automated ticket routing, and FWA (Fraud, Waste & Abuse) detection using Spark, VoltDB,
Kafka, and Hadoop.
• Developed Smart Virtual Assistant using Naive Bayes, Neural Networks, SVM, NLP, and TF-IDF
for automated customer support with call routing capability.
• Architected PACS system leveraging Big Data technologies (Kafka, Spark, Flume, HDFS,
Elasticsearch) for DICOM medical image processing and real-time analytics.
• Led Innovation Center driving MVP development, PoC evaluation, and technology roadmapping
for emerging AI/ML technologies.
• Led Presales Solutions team winning multiple multi-million-dollar deals across Payer, Provider,
and Life Sciences verticals; member of Patent Review Board at Optum India.
• Spearheaded Application Portfolio Rationalization (APR) and participated in enterprise
architecture framework governance.