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Satwik Shreshth

Satwik Shreshth

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Building Intelligent Machines

Autonomous robotics researcher and ML engineer working at the intersection of control theory, computer vision, and embedded AI.

I am a final-year Master of Computer Applications candidate at Sikkim University with research affiliation at CSIR-CMERI's Micro Robotics Laboratory, Durgapur. My work spans autonomous mobile robotics, embedded AI, and machine learning, from designing control systems grounded in classical control theory to deploying deep learning models on resource-constrained hardware.

At CSIR-CMERI, I developed the Tripathagamini-S series, a four-version autonomous line-following robot evolving from YOLO vision-guided navigation to a hybrid ML + PID architecture achieving 99.6% tracking accuracy and 97.9% error energy reduction.

My technical focus is at the intersection of control theory, computer vision, and machine learning, building systems that are theoretically grounded, practically deployable on embedded hardware, and rigorously validated through statistical analysis.

Core Expertise

Autonomous Navigation · Embedded AI · PID & Hybrid Control · Computer Vision · IoT Systems · Statistical Analysis

Tech Stack

Raspberry Pi · Arduino · ESP32 · 4G Module · YOLO / ONNX · PyTorch · Flask · Firebase · MATLAB · Google Earth Engine

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