Perumal Marimuthu

Proactive, goal-oriented professional recognized for exceptional time management and problem-solving abilities. Demonstrates reliability and adaptability, with a swift capacity to learn and apply new skills effectively. Committed to leveraging strengths to drive team success and contribute to overall organizational growth. A strong focus on collaboration and continuous improvement ensures alignment with company objectives and fosters a productive work environment.

Best Paper Award in International Conference on Internet of Things 2025 for "IOT Enabled Microclimate Monitoring System for Precision Agriculture"

Research Presentation: Presented a paper titled "Precision Agriculture: Integrating Computer Technology for Sustainable Crop Management and Yield Optimization" at SRM Research Day, SRM IST.

IEEE Ideathon: Secured 4th place in the Ideathon conducted by IEEE Computer Society.

SRM Techno Hackathon: Achieved a top 5 position among 50 teams in the SRM Techno Hackathon, in collaboration with JA ASSURE, Singapore.

Founder Club Hackathon: Selected as one of the top 5 teams in a hackathon organized by the Founder Club of the Incubation and Development Centre at SRM IST.

IEI Coding Contest: Ranked among the top 10 contestants out of 120 in the coding contest conducted by the IEI Students Chapter.

Specialization in Machine Learning, September 2023

University of Washington, Coursera

Foundations of Data Analysis ,August 2023

Google,Coursera

Fundamentals of Networking,April 2023

CISCO

Network Support and Security,November 2023

CISCO

Supervised Machine Learning : Regression and Classification,October 2023

Stanford,Coursera

Introduction to Medical Software,April 2024

Duke University,Coursera

• Intelligent Assistive Eyewear for the Visually Impaired - Developed an AI-powered wearable device integrating a camera, microcontroller (Arduino), and speaker to assist visually impaired individuals. The system detects obstacles, interprets surroundings, and provides real-time audio feedback, enhancing mobility and independence.
• IoT-Enabled Microclimate Monitoring System for Precision Agriculture - Developed an IoT-based system for real-time soil monitoring, capturing data on moisture, sunlight, and temperature levels. Integrated automated irrigation control to optimize water usage based on soil condition metrics,to find the alternate crops that sustains the uncertain climatic conditions with the help of Machine learning algorithms.
• Automated Text Summarizer using Natural Language Processing(NLP) - Designed and implemented an automated text summarizer using advanced Natural Language Processing techniques, including transformer models and abstractive summarization algorithms, to generate concise and accurate summaries from large text corpora. Optimized the system for high precision and relevance in information retrieval tasks.
• Predictive Analytics for Car Valuation Using Machine Learning - Engineered a Car Price Prediction System utilizing advanced machine learning algorithms, including regression models and ensemble techniques, to accurately estimate vehicle prices based on various features. Implemented data preprocessing and feature engineering to optimize model performance and prediction accuracy.
• Neural Network-Based Multiobjective Algorithm for Dynamic Workflow in Cloud Computing - Developed a neural network-based algorithm to optimize multiple objectives in dynamic cloud computing workflows. The research was based on optimizing resource allocation efficiency and reducing execution time across varying cloud environments.
• AI-Assisted code optimization compiler - This compiler improves program efficiency by analyzing and enhancing code structure in which it integrates machine learning algorithms to automate code refactoring,resulting in optimized performance and reduced execution time.