Shekhar

About Shekhar

I am a Computer Vision Engineer and Technical Lead at HCLTech, building production-grade deep learning systems for real-time edge deployment. I specialize in designing and deploying scalable vision models for challenging, resource-constrained environments, with a strong focus on perception, semantic segmentation, and edge optimization.My expertise spans the full computer vision lifecycle — from dataset strategy and annotation design to model training, optimization, and deployment on GPU and edge platforms. I have hands-on experience developing high-performance pipelines using PyTorch, Nvidia DeepStream, and Intel DLStreamer, enabling reliable, real-time inference in production environments.I have worked extensively on:• Semantic Segmentation and defect detection• Real-time edge AI deployment and optimization• High-performance GPU inference pipelines• BEV (Bird’s-Eye View) perception and spatial understanding• Generative AI applications in computer visionMy work focuses on bridging the gap between deep learning research and real-world deployment, ensuring models are not only accurate but also efficient, scalable, and production-ready.I am particularly interested in advancing perception systems for autonomous platforms, intelligent edge devices, and next-generation vision systems.I hold a Bachelor’s degree in Computer Applications from Tumkur University.I am always open to connecting with engineers and teams working on challenging computer vision and AI problems.

Experience

1. Technical Lead - Deep Learning Computer Vision

   HCLTech

   May 2024 — Present · Bengaluru, IN

Education

• Tumkur University, Tumkur

  BCA - Bachelor of Computer Application, Computer Science

  2014 — 2017