AI Engineer @ Intel | AI Architect | Edge AI | PESU’23 |

On-site

Hybrid

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

India

India

Bengaluru, Karnataka, India







Bachelor of Technology - BTech, Computer Science
PES University
Deeksha Institute - India
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I'm a machine learning engineer focused on building impactful systems in computer vision. At Intel, I work on the Vision AI team, where I contribute to a 0→1 effort called SceneScape- a real time multimodal computer vision solution that creates digital twins of physical environments using cameras and sensor data. I work on AI assisted Camera Calibration, Inference Engine and Multi object tracker. I excel in identifying root causes and implementing effective fixes, working beyond my technical focus area to ensure project success. My proactive, innovative and customer-centric approach in delivering high-impact features that drive measurable results have consistently resulted in customer satisfaction and successful product releases. I am passionate about continuous learning and staying updated with the latest technologies. My goal is to further enhance my skills in machine learning engineering, particularly in building computer vision systems and contribute to innovative projects that make a significant impact.
Bengaluru
anthropic apis
claude code
claude
github copilot
langgraph
claudecode
Software Development Engineer , Machine Learning - II at Intel Corporation, Jul 2025 - Present · 1 yr 2 mos, On-site, - Optimized the multi-threaded moving object tracker increasing the capability of the controller service to handle higher number of moving objects. - Transitioned Intel SceneScape from a monolithic architecture to a micoservices-based design. - 3D Object Detection with DL Streamer Video Analytics Engine. - Hardened the Smart Intersection Reference Implementation
Software Development Engineer , Machine Learning at Intel Corporation, Jul 2023 - Jun 2025 · 2 yrs, Hybrid, - Developed AI assisted Auto Camera Calibration based on fiducial marker-based and markerless feature-based calibrations methods. - Hierarchical scene graph analytics system that enables relationships among different remote scenes, enhanced spatial awareness. - Cross team collaboration, customer-centric interactions for use-case oriented deployments overcoming challenges like 3D Reconstruction and camera calibration.
Software Development Engineer at Intel Corporation, Jan 2023 - Jun 2023 · 6 mos, Bengaluru, Karnataka, India, - Designed and implemented the auto camera calibration workflow for SceneScape.
Engineering Manager at PESU IO, Nov 2022 - Jul 2023 · 9 mos, Bengaluru, Karnataka, India, - Led a team responsible for developing new features and enhancements to pesu.io and across the portfolio. - Introduced paid courses and integrated payments workflow - Onboarded interns and provided contextual guidance. - Led revamp to newer tech stack
Project Intern , Data Engineering at Bosch Global Software Technologies, Jun 2022 - Jul 2022 · 2 mos, Bengaluru, Karnataka, India
Managed network expert at Chegg India, Sep 2021 - May 2022 · 9 mos, Bengaluru, Karnataka, India
Technical Executive at PESU IO, Jul 2021 - Nov 2022 · 1 yr 5 mos, India
Research Intern at Center for Cloud Computing and Big Data, PES University, Jun 2021 - Jun 2022 · 1 yr 1 mo, India
Web Developer at PESU IO, Mar 2021 - Jun 2021 · 4 mos, Bengaluru, Karnataka, India
Bachelor of Technology - BTech, Computer Science, PES University
Deeksha Institute - India