Satwik Shreshth

I am a Master of Computer Applications candidate at Sikkim University, specializing in machine learning, deep learning, and IoT systems. My work centers on architecting intelligent solutions for environmental monitoring, image processing, and automated analytics.

Currently, I am engineering a 4G LTE-based communication system at CSIR-CMERI for real-time environmental monitoring across vehicular networks—encompassing system architecture design, performance optimization, and resilient data pipeline construction for IoT applications.

🎯 Expertise

I architect end-to-end machine learning solutions—from training sophisticated neural networks and processing satellite imagery to deploying production-grade applications. My technical arsenal spans Python, TensorFlow/Keras, Google Earth Engine, QGIS, and IoT ecosystems including Raspberry Pi and LTE protocols.

My experience orchestrating mission-critical infrastructure at C-DAC ATC Delhi for nationwide examinations and developing geospatial workflows at India Space Academy has honed my ability to build scalable systems that perform under demanding conditions.

💡 Impact

I have architected U-Net-based image transformation models, automated land cover classification frameworks, and water body monitoring solutions—each translating computational theory into production-ready implementations addressing real-world challenges.

As Vice Chairperson of SUSA's Cultural Committee and NSS volunteer, I have cultivated leadership and cross-functional collaboration skills that complement my technical expertise.

🚀 Vision

I am pursuing Machine Learning Engineer or Software Developer roles where I can leverage computational methodologies to engineer systems that extract meaningful patterns from complex datasets and deliver actionable intelligence.