Neeraj Gulia is a Senior Technical Architect with over 17 years in software engineering, currently leading AI-on-edge and cloud-native initiatives at Seqrite Labs (Quick Heal). He combines deep expertise in deep learning, computer vision and Nvidia DeepStream with production-grade skills in Kubernetes, Docker, Kafka, Elasticsearch and performance tuning to build complex, scalable systems. A long tenure at Infosys honed his ability to bridge enterprise delivery and hands-on engineering, from RDBMS-backed services to real-time pipelines and DevOps automation. He holds an MCA and a Udacity Self-Driving Car nanodegree, reflecting a sustained focus on applied AI and autonomous systems. Colleagues know him as a pragmatic problem-solver who turns research-grade models into performant edge deployments that meet stringent operational constraints.
8 years of coding experience
9 years of employment as a software developer
12, Non Medical, Medical, 12, Non Medical, Medical at SDM School
Self Driving Car Nano Degree, Artificial Intelligence, Self Driving Car Nano Degree, Artificial Intelligence at Udacity
Master of Computer Applications (MCA), Computer Technology/Computer Systems Technology, Master of Computer Applications (MCA), Computer Technology/Computer Systems Technology at Kamrah Institute of Information & Technology(KIIT)
Bachelor of Computer Application, Computer Technology/Computer Systems Technology, Bachelor of Computer Application, Computer Technology/Computer Systems Technology at Hindu College, Sonepat.
custom opencv_contrib module which exposes opencv cuda optical flow methods with python bindings
Contributions:35 commits, 1 PR, 25 pushes in 2 years 8 months
contribcudapythonpython-bindingsoptical-flow
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Neeraj Gulia - Senior Technical Architect at Quick Heal