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Saravana Perumal NatarajanSN
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Saravana Perumal Natarajan

@saravanaperumalnatar

Computer Vision Engineer at MACHANI ROBOTICS, architecting a real-time multimodal robot agent and perception platform.

India
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At MACHANI ROBOTICS, I architected a production multimodal AI agent using Google's Gemini Live API, with bidirectional audio/video streaming, persistent sessions, and MCP tool orchestration. I also led investor- and client-facing robot demonstrations that contributed to the company's first seed investment.

I owned Kogan, the robot's real-time perception and identity platform, and led its GPU-to-OpenVINO migration for Intel edge inference. I also productized a contactless vitals pipeline and integrated it with the robot's agent ecosystem.

Previously, at LIVESITTER, I built computer-vision systems for retail fraud detection and production inference across 350+ RTSP streams. At ABLELYF, I developed computer-vision and voice-interactive AI systems for autism therapy, and I continue exploring computer vision for edge and robotics through projects such as a GGML YuNet loader.

Experience

Work history, roles, and key accomplishments

MR
Current

Computer Vision Engineer

Machani Robotics

Aug 2025 - Present (1 year 2 months)

Led investor- and client-facing demonstrations of the robot's AI, perception, and agent capabilities, contributing to the company's first seed investment. Architected a production real-time multimodal AI agent using Google's Gemini Live API and engineered a hybrid cloud/edge conversational AI stack.

LI

Associate AI Engineer

Livesitter

Jul 2024 - Aug 2025 (1 year 1 month)

Built real-time retail fraud-detection systems using YOLOv8-seg, NVIDIA DeepStream, GStreamer, and TensorRT, achieving high mAP scores. Developed production computer-vision pipelines for 350+ RTSP streams and engineered an asynchronous CV alerting pipeline.

Education

Degrees, certifications, and relevant coursework

PSG College of Arts and Science logoPS

PSG College of Arts and Science

Bachelor of Computer Applications, Computer Applications

2020 - 2023

Grade: 75%

Pursued a Bachelor of Computer Applications degree, achieving a percentage of 75%.

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