Parag Nath
Electronics and Communication Engineering graduate with experience in machine learning, computer vision, IOT-Edge Systems and full-stack development
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About
Electronics and Communication Engineering graduate with experience in machine learning, computer vision, IOT-Edge Systems and full-stack development — having built real-time detection systems, IoT data pipelines and production-ready applications. Built end-to-end object detection systems (91% accuracy), federated learning pipelines across distributed nodes, and REST API applications with JWT authentication and relational database integration. Proficient in Python, Java, Node.js, PyTorch, OpenCV, and MySQL; experienced in system design, and REST API development across IoT and web application domains.
Experience
Summer Research Intern - Centre for Development of Advanced Computing (C-DAC)
(2023-06 - 2023-07)
- Engineered low-latency data pipelines for MQTT-based IoT devices using object-oriented design principles, resolving 5+ critical bottlenecks and reducing end-to-end message delivery latency by ~30–50%.
- Optimised broker configurations across multiple edge device scenarios and produced comprehensive test reports that identified and resolved 10+ critical system bugs, improving overall pipeline reliability.
Telecom Engineer Trainee - Power Grid Corporation of India Limited
(2024-06 - 2024-07)
- Managed telecommunications infrastructure across 400/132 kV substations, overseeing onsite integration of OPGW, SDH, and PLCC networks to maintain high-availability SCADA connectivity for live grid operations.
- Analysed relay protection and circuit breaker signal logs to perform fault detection, delivering 10+ root cause analyses that improved network resilience and reduced operational downtime in live substation environments.
Education
B.Tech - Electronics and Communication Engineering - Gauhati University
Class XII - Don Bosco School
