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Hashmeet Dhillon

@hashmeetdhillon

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Computer Science student specializing in IoT and embedded systems, seeking hands-on internship opportunities.

Australia

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What I'm looking for

I am seeking an internship or part-time role in IoT or embedded systems where I can apply hands-on hardware/software integration, ML modeling, and grow within a collaborative, learning-focused team.

I am a motivated Bachelor of Computer Science student majoring in Internet of Things, focused on building embedded systems and data-driven solutions that bridge hardware and software. I have designed real-time IoT systems, developed machine learning models, and implemented adaptive algorithms for practical applications.

My projects include an IoT baby monitoring system with sensor fusion and dynamic risk scoring, a property price predictor achieving >90% accuracy, and an AI game agent using reinforcement learning. I bring hands-on experience with Arduino, Raspberry Pi, Python, C/C++, MQTT and data visualization tools, and I seek internship or part-time roles to apply and expand these skills.

Experience

Work history, roles, and key accomplishments

Current

IoT Intern

Current

Deakin University

Mar 2023 - Present (2 years 9 months)

Developed an IoT-based baby monitoring system with multi-sensor integration and a dynamic programming risk-scoring algorithm to reduce false alarms; implemented sensor fusion and dashboards for real-time visualization. Built machine learning projects including a property price predictor (>90% accuracy) and an AI game agent using MDP and Q-learning to evaluate performance convergence.

Python C C++Raspberry Pi ESP32 MQTT ThingSpeak scikit learn Data Visualization Embedded Systems

Education

Degrees, certifications, and relevant coursework

Deakin University

Bachelor of Computer Science, Internet of Things

2023 -

Activities and societies: Completed projects include an IoT-based baby monitoring system, a machine learning property price predictor, and an AI game agent for Tic-Tac-Toe; technical skills in Python, C/C++, Arduino, Raspberry Pi, MQTT, and ML libraries.

Bachelor of Computer Science (Major: Internet of Things) at Deakin University, expected graduation November 2026; completed four trimesters and key units in programming, networks, embedded systems, machine learning, and data analysis.