Headline

Enterprise AI, GenAI & ML Leadership | Retail Catalog Intelligence | Computer Vision | Scalable AI Systems

About

I lead enterprise AI, GenAI, and machine learning initiatives at Target, focused on transforming retail catalog management, item intelligence, and product data quality at scale. My work sits at the intersection of retail, AI, and automation — building capabilities that improve attribute enrichment, accelerate SKU onboarding, strengthen catalog accuracy, and enable more intelligent merchandising experiences. I’m especially passionate about applying GenAI, computer vision, and scalable ML systems to solve high-impact business problems. Over the last 15+ years, I’ve led AI and engineering teams across retail, healthcare AI, semiconductor manufacturing, and medical imaging. I’ve built and deployed production-grade ML, deep learning, computer vision, and MLOps platforms that process millions of records, improve operational efficiency, and move ideas from prototype to enterprise-scale adoption. Before leading data science initiatives for retail catalog intelligence, I led vision computing programs at Target, including shelf analytics and in-store automation. Earlier in my career, I worked on AI-driven diagnostics, wafer defect classification, robotics automation, and CT imaging systems at SigTuple, Applied Materials, Philips Healthcare, and GE Healthcare. I’m an inventor and published author with patents and publications across image analytics, automation, data extraction, and AI-enabled platforms. I enjoy building teams and systems that turn emerging technology into practical, trusted, and measurable business impact.

Location

Bengaluru

AI stack

gemini

hugging face

Adobe Firefly

ChatGPT

Microsoft Copilot

OpenAI Agents SDK

Work experience

Director Data Science at Target, Apr 2024 - Present · 2 yrs 5 mos, On-site, Leading enterprise AI, GenAI, and ML initiatives for retail catalog intelligence, item data quality, and scalable SKU onboarding. - Drive AI/ML solutions that improve product data accuracy, attribute enrichment, and catalog management at enterprise scale. - Built scalable ML services processing millions of records daily, supporting critical retail workflows with 99.9% uptime. - Partner with senior leadership, product, engineering, and business teams to translate AI strategy into measurable business impact.

Director Of Engineering, Vision computing at Target, Oct 2021 - Jun 2024 · 2 yrs 9 mos, Led vision computing strategy and execution for in-store automation, shelf analytics, and computer vision platforms supporting retail operations. Built and launched computer vision platforms for shelf intelligence and store automation, reducing manual review and improving detection accuracy. - Defined architecture and technology strategy for ML and vision-based applications, accelerating prototype-to-production timelines. - Led cross-functional engineering teams to deliver scalable, reliable, and low-latency AI systems for operational use cases. - Improved platform reliability and performance benchmarks, enabling faster and more dependable model inference in production environments.

Sr Engineering Manager, Data science at SigTuple, Nov 2019 - Oct 2021 · 2 yrs, Bengaluru, Led AI, computer vision, and robotics teams building deep learning solutions for medical diagnostics. - Delivered AI-driven diagnostic automation that improved throughput by 4x. - Led development of microscopy automation, scanning, and report generation models using deep learning. - Owned robotics and AI platforms that increased lab processing capacity and reduced manual handling errors.

Data Science Manager at SigTuple, Nov 2019 - Oct 2021 · 2 yrs, Drove the AI-based computer vision aspect of all the products. I led the team and delivered of state of the art DL based solutions using cloud-based model training and deployment for: Focusing and Scanning images using an automated microscope. Trained regression model for capturing focused images. Generating medical reports by inferring scanned images. DL models used were YOLO, LTCnet, RetinaNet,MobileNet, ResNet etc. Owned Vasuki, robotics side of in-house hardware AI100, responsible for scanning. Led a data science team of 12 people.

Manager at Applied Materials, Apr 2019 - Nov 2019 · 8 mos, Bengaluru, Led AI and deep learning initiatives for semiconductor wafer inspection and defect classification. - Directed automatic defect classification modules, improving defect detection and review efficiency. - Delivered ML/DL solutions that reduced false positives and improved inspection accuracy. - Translated advanced AI research into practical manufacturing and inspection capabilities.

Senior Technical Lead at Applied Materials, Dec 2018 - Apr 2019 · 5 mos, Bengaluru, Karnataka, India

Technical Team Lead at Applied Materials, Jul 2016 - Nov 2019 · 3 yrs 5 mos, bangalore, Owned Automatic Defect Classification modules for wafer inspection. Handled execution as well as technical design of the solutions. Drove innovation in the product with two Deep-Learning POCs: Unsupervised Clustering of OTF images using Kmeans, PCA. Semi-supervised filtering of defects using Siamese networks and AutoEncoders.

Technical Specialist at Philips Healthcare, Feb 2015 - Jul 2016 · 1 yr 6 mos

Lead Technician at Philips Healthcare, Feb 2015 - Jul 2016 · 1 yr 6 mos, Designed, implemented, and delivered an advanced organ detection algorithm for CT surview/scout images. This helped in workflow simplification, dose reduction and prevents user error while scanning.and patent filing.

Senior design engineer at GE Healthcare, Apr 2010 - Feb 2015 · 4 yrs 11 mos, bangalore, My work here involved designing and implementing Image pre-processing , reconstruction and post processing algorithms in C/C++.

Education

Master of Science, Physics, University of delhi

Master of Science, communication systems and signal processing, International Institute of Information Technology Hyderabad (IIITH)