SB
Sailesh Bharathwaaj
Director, Enterprise AI @ 7-Eleven
Move cursor to track • Scroll to fly through store
Computer Vision • Ambient Intelligence • Systems Design

Architecting Intelligence at Physical Scale.

I am Sailesh Bharathwaaj Krishnamurthy, Director of Enterprise AI at 7-Eleven. Prolific inventor with 111 granted U.S. patents bridging spatial perception, edge computer vision, and autonomous retail infrastructure.

111
Granted U.S. Patents

Computer vision, spatial sensor arrays, object detection, and ML systems.

2,400+
Citations Across Inventions

h-index 24, i10-index 48 documented across global patent and academic literature.

Autonomous
Cashierless Retail Pioneer

Founding engineer & leader of real-world frictionless checkout and store intelligence.

Leadership & Engineering Heritage

Transforming complex spatial signals into production reality.

As Director, Enterprise AI at 7-Eleven, I lead the strategy, engineering, and deployment of machine learning platforms that power thousands of stores. My journey has centered on answering a fundamental engineering challenge: How do we perceive, understand, and predict physical human-object interactions in dynamic, unstructured physical spaces with zero latency and absolute reliability?

I served as the founding engineer and technical leader behind 7-Eleven's cashierless autonomous store initiative—architecting sensor fusion arrays, real-time multi-camera tracking across global planes, and automated purchase detection.

My work is codified in over 100 granted U.S. patents that span the foundational layers of physical AI: from contour dilation and coordinate homography to feedback-driven ML training in physical environments.

7-Eleven Enterprise AI
University of Florida MS (ECE)
SSN College of Engineering BE
Focus Matrix Active In Production
Domain 01
Real-Time Computer Vision
Multi-view tracking, contour dilation, object re-identification.
Domain 02
Spatial & Sensor Fusion
Global plane homography, weight arrays, marker grids.
Domain 03
Enterprise Machine Learning
Closed-loop physical store training, agentic systems, edge inference.
Core Technical Pillars

The Three Vectors of Invention

A decade of patents and deployed systems structured across perception, spatial tracking, and enterprise-scale intelligence.

01

Computer Vision & Action Perception

Algorithms for detecting micro-actions and tracking closely spaced objects in real-world environments without requiring intrusive markers or high-latency processing.

Representative Patents
US 11,176,686 Image-Based Action Detection Using Contour Dilation
US 11,568,554 Contour-Based Detection of Closely Spaced Objects
US 11,403,772 Vector-Based Object Re-Identification
• Contour Analysis • Re-ID • Action Recognition
02

Ambient Sensing & Spatial Tracking

Architecting global coordinate systems using homography, marker grids, and multi-modal sensor arrays (weight, optical, and spatial) to achieve continuous tracking in massive commercial spaces.

Representative Patents
US 11,244,463 Scalable Position Tracking for Large Spaces
US 11,430,222 Sensor Mapping to Global Coordinates via Marker Grid
US 11,676,289 Coordinate Homography Sensor Mapping
• Homography • Spatial Fusion • Global Planes
03

Autonomous Retail & Enterprise AI

Translating edge perception into enterprise impact: autonomous store checkout engines, closed-loop machine learning training on physical purchases, and large-scale AI Center of Excellence platforms.

Representative Patents
US 12,002,263 ML Feedback & Training for Physical Store Purchases
US 11,625,918 Detecting Shelf Interactions Using Sensor Arrays
US 12,235,929 Updating Item Identification Training Datasets
• Closed-Loop ML • Edge Inference • Retail Scale
Patent Vault

100+ Granted Inventions

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Trajectory

Engineering & Leadership Journey

7-Eleven

Director, Enterprise AI
Previously: Head of AI Center of Excellence • Lead Systems Architect
Irving, Texas
Current

Leading enterprise artificial intelligence initiatives across engineering, machine learning platforms, and store intelligence.

  • Founding engineer and technical lead for 7-Eleven's autonomous cashierless store concept.
  • Architected sensor fusion pipelines combining high-rate top-down cameras, weight sensors, and edge accelerators.
  • Lead inventor on 100+ granted US patents assigned to retail and computer vision operations.
  • Scaled enterprise ML infrastructure across thousands of convenience locations.

University of Florida

Master of Science (MS), Electrical and Computer Engineering
Gainesville, Florida
Graduate Studies

Core Focus: Machine Intelligence, Computer Vision, Digital Signal Processing, Computer Architecture, and Fault-Tolerant Systems.

Deep Learning Digital Signal Processing Pattern Recognition VLSI Architecture

SSN College of Engineering

Bachelor of Engineering (BE), Electronics & Communication Engineering
Chennai, India
Undergraduate

Recipient of the Academic Achievement Award. Built foundational research in modified DCT-based speech enhancement and real-time embedded systems.

Inquiries & Collaboration

Connect With Sailesh

Open to discussions on enterprise AI architecture, computer vision patents, speaking engagements, and collaborative research in spatial computing.

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