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I am an AI-driven and detail-oriented IoT master's student with strong foundations in embedded systems, network protocols, and data analytics. I apply machine learning and deep learning techniques to IoT contexts, building intelligent solutions across IIoT, AIoT, and telecom domains. My hands-on work includes predictive maintenance, real-time anomaly detection, AI-assisted forecasting, and agentic AI systems for automation and sales intelligence. I am seeking opportunities to contribute to innovative, AI-powered systems in connectivity, automation, and intelligent infrastructure.…I am an AI-driven and detail-oriented IoT master's student with strong foundations in embedded systems, network protocols, and data analytics. I apply machine learning and deep learning techniques to IoT contexts, building intelligent solutions across IIoT, AIoT, and telecom domains. My hands-on work includes predictive maintenance, real-time anomaly detection, AI-assisted forecasting, and agentic AI systems for automation and sales intelligence. I am seeking opportunities to contribute to innovative, AI-powered systems in connectivity, automation, and intelligent infrastructure.

Manisha Ann Thomas

Data Scientist, AI Engineer, Full Stack Developer, +2

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I am an AI-driven and detail-oriented IoT master's student with strong foundations in embedded systems, network protocols, and data analytics. I apply machine learning and deep learning techniques to IoT contexts, building intelligent solutions across IIoT, AIoT, and telecom domains. My hands-on work includes predictive maintenance, real-time anomaly detection, AI-assisted forecasting, and agentic AI systems for automation and sales intelligence. I am seeking opportunities to contribute to innovative, AI-powered systems in connectivity, automation, and intelligent infrastructure.…I am an AI-driven and detail-oriented IoT master's student with strong foundations in embedded systems, network protocols, and data analytics. I apply machine learning and deep learning techniques to IoT contexts, building intelligent solutions across IIoT, AIoT, and telecom domains. My hands-on work includes predictive maintenance, real-time anomaly detection, AI-assisted forecasting, and agentic AI systems for automation and sales intelligence. I am seeking opportunities to contribute to innovative, AI-powered systems in connectivity, automation, and intelligent infrastructure.

Available to hire

I am an AI-driven and detail-oriented IoT master’s student with strong foundations in embedded systems, network protocols, and data analytics. I apply machine learning and deep learning techniques to IoT contexts, building intelligent solutions across IIoT, AIoT, and telecom domains.

My hands-on work includes predictive maintenance, real-time anomaly detection, AI-assisted forecasting, and agentic AI systems for automation and sales intelligence. I am seeking opportunities to contribute to innovative, AI-powered systems in connectivity, automation, and intelligent infrastructure.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

Research Assistant at Macquarie University, Australia

October 1, 2025 - Present

Contributed technical writing and analysis on how 6G can enhance massive IoT scalability, reliability, and ultra-low-power connectivity for LoRa devices. Ongoing research on LoRa constraints, spectrum efficiency, and long-range communication performance within next-generation wireless systems.

Intern at DRYAD Networks

July 1, 2025 - November 1, 2025

Ongoing design and development of an agentic AI system capable of autonomously searching the web to identify potential customers and business opportunities. Integrated retrieval pipelines, large language models, and filtering logic to extract, rank, and summarize relevant prospect information. Delivered actionable lead insights to marketing teams, reducing manual research time and improving prospecting efficiency. Implemented Retrieval-Augmented Generation (RAG) architecture to enhance information accuracy and contextual relevance in lead generation outputs.

Research Intern at Macquarie University, Australia

August 1, 2024 - November 1, 2024

Developed solutions to enhance the security of the Internet of Vehicles (IoV) by integrating trust management systems that identify and eliminate malicious entities and messages from vehicular networks. Proposed recommendations to mitigate vulnerabilities in intelligent transportation systems using trust convergence models.

Technical Assistant (SIM card Engineer), Profile Development Team at Trasna

August 1, 2022 - January 31, 2024

Developed and validated SIM and eUICC profiles per GSM 11.11, 3GPP (31.101/31.102), and ETSI (102.221/222) standards. Led end-to-end testing of UICC / eUICC card products and automated validation test cases. Integrated OTA subscription management and applet testing across chipsets and mobile platforms. Troubleshoot handset, network, and SIM-level issues with automated regression tools. Conducted regular client meetings to align on product specifications and profile customization. Pushed BAP card profiles into production post-approval; validated new M2M (IoT) chipsets for performance. Delivered monthly presentations on emerging trends in 5G/6G telecom systems to improve internal knowledge. Trained new hires on SIM testing procedures and internal validation workflows.

Intern at ACME Intralog FZCO

January 1, 2022 - July 31, 2022

Researched and documented technical solutions in warehouse automation systems. Contributed to white paper development to support warehouse solution proposals and product knowledge sharing.