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I am Ajay Chauhan, an AI Strategy Leader with 10+ years of experience helping global enterprises adopt and scale GenAI across procurement, supply chain, merchandising, and operations. I partner directly with senior decision-makers to shape AI strategy, evaluate investments, and drive digital transformation in large organizations. My focus is on delivering enterprise-grade AI platforms that enable data-driven decision making, analytics maturity, and governance at scale. I design secure, scalable GenAI ecosystems using LangChain, GPT-4, PyTorch Lightning, AWS SageMaker, and Databricks. I lead cross-functional teams, build autonomous AI agents to optimize procurement and supply-chain workflows, and provide executive-level advisory on AI strategy, maturity, and governance. I am passionate about delivering measurable business impact while maintaining strong compliance and ethical AI standards.…I am Ajay Chauhan, an AI Strategy Leader with 10+ years of experience helping global enterprises adopt and scale GenAI across procurement, supply chain, merchandising, and operations. I partner directly with senior decision-makers to shape AI strategy, evaluate investments, and drive digital transformation in large organizations. My focus is on delivering enterprise-grade AI platforms that enable data-driven decision making, analytics maturity, and governance at scale. I design secure, scalable GenAI ecosystems using LangChain, GPT-4, PyTorch Lightning, AWS SageMaker, and Databricks. I lead cross-functional teams, build autonomous AI agents to optimize procurement and supply-chain workflows, and provide executive-level advisory on AI strategy, maturity, and governance. I am passionate about delivering measurable business impact while maintaining strong compliance and ethical AI standards.

Ajay Chauhan

Data Scientist, AI Engineer, AI Developer, +6

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I am Ajay Chauhan, an AI Strategy Leader with 10+ years of experience helping global enterprises adopt and scale GenAI across procurement, supply chain, merchandising, and operations. I partner directly with senior decision-makers to shape AI strategy, evaluate investments, and drive digital transformation in large organizations. My focus is on delivering enterprise-grade AI platforms that enable data-driven decision making, analytics maturity, and governance at scale. I design secure, scalable GenAI ecosystems using LangChain, GPT-4, PyTorch Lightning, AWS SageMaker, and Databricks. I lead cross-functional teams, build autonomous AI agents to optimize procurement and supply-chain workflows, and provide executive-level advisory on AI strategy, maturity, and governance. I am passionate about delivering measurable business impact while maintaining strong compliance and ethical AI standards.…I am Ajay Chauhan, an AI Strategy Leader with 10+ years of experience helping global enterprises adopt and scale GenAI across procurement, supply chain, merchandising, and operations. I partner directly with senior decision-makers to shape AI strategy, evaluate investments, and drive digital transformation in large organizations. My focus is on delivering enterprise-grade AI platforms that enable data-driven decision making, analytics maturity, and governance at scale. I design secure, scalable GenAI ecosystems using LangChain, GPT-4, PyTorch Lightning, AWS SageMaker, and Databricks. I lead cross-functional teams, build autonomous AI agents to optimize procurement and supply-chain workflows, and provide executive-level advisory on AI strategy, maturity, and governance. I am passionate about delivering measurable business impact while maintaining strong compliance and ethical AI standards.

Available to hire

I am Ajay Chauhan, an AI Strategy Leader with 10+ years of experience helping global enterprises adopt and scale GenAI across procurement, supply chain, merchandising, and operations. I partner directly with senior decision-makers to shape AI strategy, evaluate investments, and drive digital transformation in large organizations. My focus is on delivering enterprise-grade AI platforms that enable data-driven decision making, analytics maturity, and governance at scale.

I design secure, scalable GenAI ecosystems using LangChain, GPT-4, PyTorch Lightning, AWS SageMaker, and Databricks. I lead cross-functional teams, build autonomous AI agents to optimize procurement and supply-chain workflows, and provide executive-level advisory on AI strategy, maturity, and governance. I am passionate about delivering measurable business impact while maintaining strong compliance and ethical AI standards.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Javanese

Advanced

Bashkir

Advanced

Work Experience

Sr. AI/ML Engineer & Team Lead at PVH Corp

September 1, 2019 - November 26, 2025

Led the architecture and delivery of a large-scale Generative AI ecosystem unifying predictive, generative, and agentic intelligence across global supply-chain planning, merchandising, and distribution. Integrated Blue Yonder's AI suite with in-house multimodal ML systems to enable real-time visibility, predictive decision-making, and faster fulfillment for PVH’s flagship brands. Designed and deployed scalable GenAI pipelines bridging data from ERP, warehouse, logistics, and retail channels, automating forecasting, price optimization, and replenishment flows while ensuring enterprise-grade reliability and compliance. Implemented agentic AI workflows for auto-decisioning in allocation, assortment, and markdown planning, improving forecast precision +27.5% and reducing excess inventory –22%. Delivered AI-driven price and assortment optimization platforms—boosted sell-through +20% and markdown accuracy +23% across NA channels. Developed warehouse and logistics automation models usin

Data Scientist at IMO Health

July 1, 2019 - July 1, 2019

Designed and deployed scalable data infrastructure supporting precision medicine and clinical analytics. Engineered high-performance streaming and integration systems for real-time ingestion of HL7/FHIR data, enabling sub-second data availability for downstream AI and GenAI pipelines. Leveraged Kafka, Redis Streams, and Spark Streaming to build event-driven pipelines handling multimodal clinical data from 50+ partner hospitals. Developed predictive modeling pipelines (XGBoost, CNNs) for genomic variant classification and treatment outcome prediction. Standardized EDA workflows and visualization dashboards used organization-wide, establishing the foundation for future large-scale GenAI systems. Delivered 20× faster data availability for model training and clinical decision support, improving precision medicine research efficiency by 40%.

Data Engineer at Rippleshot

April 1, 2017 - April 1, 2017

Modernized the company’s enterprise data warehouse and ETL ecosystem, driving automation, scalability, and real-time analytics to support fraud intelligence and product performance insights. Architected end-to-end data pipelines across AWS and on-premise environments, integrating diverse data sources and enabling actionable intelligence for data science and business teams. Implemented infrastructure-as-code and monitoring strategies to ensure reliability, cost efficiency, and regulatory compliance. Designed high-performance ETL pipelines using Python, Spark, and Apache Airflow; automated ingestion with AWS Glue, Redshift, and PostgreSQL; deployed real-time dashboards on Tableau with sub-minute refresh cycles. Optimized query performance and storage in Redshift, cutting analytics cost by 35%. Established CI/CD pipelines and monitoring with Airflow and CloudWatch, improving deployment speed and pipeline health.

Senior AI/ML Engineer & Team Lead at PVH Corp

September 1, 2019 - November 26, 2025

Led the architecture and delivery of a large-scale Generative AI ecosystem unifying predictive, generative, and agentic intelligence across global supply-chain planning, merchandising, and distribution. Integrated Blue Yonder’s AI suite with in-house multimodal ML systems to enable real-time visibility, predictive decision-making, and faster fulfillment for PVH’s flagship brands. Designed and deployed scalable GenAI pipelines bridging ERP, WMS, and retail channels to automate forecasting, price optimization, and replenishment while ensuring enterprise-grade reliability and compliance. Implemented agentic AI workflows for auto-decisioning in allocation, assortment, and markdown planning, achieving +27.5% forecast precision and -22% excess inventory. Delivered AI-driven price and assortment optimization platforms increasing sell-through by 20% and markdown accuracy by 23%.

AI Strategy Leader at PVH Corp

September 1, 2019 - Present

Led enterprise AI strategy initiatives across procurement, supply chain planning, merchandising, and distribution within a large global enterprise. Partnered directly with senior procurement decision-makers, sourcing leaders, and finance executives to shape AI strategy, roadmaps, and analytics investments. Architected a global Generative AI ecosystem enabling predictive, generative, and agent-driven intelligence for sourcing, supplier management, demand forecasting, and inventory optimization. Built AI platforms for procurement analytics, cost optimization, supplier performance, and scenario modeling aligned with transformation goals. Implemented autonomous AI agents to support procurement workflows and delivered real-time dashboards and orchestrated data pipelines for decision-making. Achieved measurable impact with improved forecast precision, reduced excess inventory, and enhanced procurement responsiveness. Established secure, scalable AI microservices and governance frameworks, en

Data Scientist at IMO Health

June 1, 2017 - July 1, 2019

Designed and deployed scalable clinical data infrastructure supporting precision medicine, real-time analytics, and GenAI enablement across oncology programs. Architected high-performance streaming systems for sub-second HL7/FHIR ingestion using Kafka, Redis Streams, and Spark Streaming. Built event-driven pipelines processing multimodal clinical data from 50+ partner hospitals with reliability guarantees. Implemented data normalization and transformation layers unifying EMR, genomic, imaging, and diagnostic data for downstream workflows. Developed predictive models (XGBoost, Random Forest, CNNs) for biomarker discovery and personalized treatment insights. Created genomic variant classification pipelines integrated with clinical decision-support tools. Automated data validation and HIPAA-compliant auditable data movement. Built scalable ML feature extraction and preprocessing pipelines aligned with precision medicine use cases. Reduced streaming data latency from minutes to ~2 seconds,

Data Engineer at Rippleshot

August 1, 2015 - April 1, 2017

Designed and developed high-performance ETL pipelines using Python, Spark, and Apache Airflow, reducing batch latency from 12 hours to under 1 hour with 99.98% reliability. Built automated ingestion workflows leveraging AWS Glue, Redshift, and PostgreSQL for unified analytics. Deployed real-time dashboards on Tableau with sub-minute refresh cycles. Automated infrastructure provisioning with Docker and Terraform, improving deployment speed and reproducibility. Optimized query performance and storage in Redshift through partitioning and compression, cutting analytics cost by 35%. Implemented CI/CD pipelines and monitoring with Airflow and CloudWatch for proactive issue detection.