industrial R&D tenure

Industrial Research & Development

With a decade of industrial experience in AI, computer vision, and large-scale deployment, I have had the privilege to lead and contribute to advanced products, international patents, and multi-disciplinary teams across three global companies. This journey has shaped my current vision to bridge academia with scalable, real-world AI impact.

  ARKRAY R&D, India | Lead Data Scientist (2018 – 2020)

As Lead Data Scientist at ARKRAY’s R&D unit, I led the computer vision AI development of the Aution Eye AI-4510, a commercially launched urinalysis automation system. I headed a 6-member research team focused on deep learning for micro-level histopathology image analysis, driving significant advancements in:

  • Recognizing microorganisms and cells for urinary sediments investigating and employing state-of-the-arts methods in computer vision ficusings CNNs and GANs.
  • Integration of AI workflow on Microsoft Azure cloud for edge-AI deployment.
  • Explored blood glucose estimation models and RNA-based early cancer detection methods.
  • Inventor of two patents for AI-based biomarker discovery and medical image interpretation.

💡 Impact: First-of-its-kind AI-enabled urinalysis system successfully launched in the Japanese market.
🔗 Press Release

  Samsung Research Institute, Delhi | Staff Engineer – AI & Data Intelligence (2012 – 2018)

Over 6.5 years at Samsung R&D, I spearheaded machine learning and computer vision efforts in the Samsung ACR (Automatic Content Recognition) and Samsung Ads platform — powering content intelligence in millions of smart TVs globally. My work contributions enabled:

  • Long term contribution for visual media large scale product Samsung ACR in the field of computer vision R&D-Live TV program, channels identification, many CV applications.
  • Pioneering efforts in reinforcement learning-based adverstisement targeting using MDPs/POMDPs for commercial displays.

🚀 Deployed across 1200+ servers on AWS, handling real-time streaming data with high-availability big data pipelines.
📜 Inventor on 10+ international patents (3 granted) with referred by Apple, Meta, Google, Sony, Boeing and others.
🏆 Honored as “IP Creator of the Year”, with 3 work promotions and multiple awards for innovation.

🔗 ACR Tech Overview
🔗 Granted Patents

  HCL Technologies | Associate Consultant (2010 – 2012)

At HCL, I contributed to the SOA-based Retail Services Platform for T-Mobile USA, a large-scale enterprise backend system. Key contributions included:

  • Designing middleware components using Java/J2EE and RESTful services.
  • Building the Ecosystem Health Monitoring System, an automated platform status dashboard and alerting module.
  • Delivering production-grade modules integrated into real-world retail workflows.

Why It Matters

These experiences form the foundation of my research-driven entrepreneurial vision:

  • From prototypes to products: I’ve led transitions from POCs to fully deployed AI systems navigating through the academic research.
  • End-to-end lifecycle: From data engineering and model training to development on cloud deployment finsihing it with IP generation.
  • Multi-stakeholder collaboration: Worked with academia, industrial R&D, product managers, designers, and end-users.

Today, I’m building on these foundations to develop robust AI systems with real-world utility, scaling research into commercially viable impact.