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Subramaniam-dot/README.md

Subramaniam Murugesan

๐Ÿ“ London
๐Ÿ“ง Email: [email protected]

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๐Ÿš€ About Me

Hey there! Iโ€™m Subramaniam, or Subro to friends, navigating the intricate world of software engineering with a keen eye on AI and machine learning. My adventure in tech began with an insatiable curiosity about transforming data into smart decisions, leading me down a path filled with code, cloud, and countless learning moments.

I am an EPSRC Doctoral Training Partnership (DTP) PhD student in Electronic Engineering at Queen Mary University of London. My research focuses on RF emission detection, identification, and localisation, utilising Software-Defined Radio (SDR), advanced antennas, Cloud & IoT applications, AI/ML/DL applications, software engineering, and edge AI technologies. I have published my work in esteemed journals such as the IEEE Journal of Biomedical and Health Informatics (JBHI), Cluster Computing (Springer), and arXiv. As an experienced software engineer, I specialize in SQL, Python frameworks like Django and Flask, and machine learning frameworks such as TensorFlow and PyTorch. I have implemented numerous automations in AWS, including Lambda, SQS, RDS, Fargate, EKS, and EC2. I am passionate about democratizing AI and leveraging machine learning to solve real-world challenges.

When Iโ€™m not coding or cloud-wrangling, I love demystifying AI and machine learning for anyone willing to listen. Whether through blog posts, discussions, or casual chats over coffee, Iโ€™m all about sharing knowledge and learning from others. After all, isnโ€™t that how we all grow?

If youโ€™re curious about AI, machine learning, or just want to exchange notes on the latest in tech, drop me a line at [email protected]. Letโ€™s make AI not just a tool for the few, but a resource for the many. Who knows what we can achieve together?

๐ŸŽ“ Education

  • PhD in Electronic Engineering
    Queen Mary University of London, London, UK
    2024 - 2028

  • MSc in Big Data Science
    Queen Mary University of London, London, UK
    Distinction | 2022 - 2023

  • B.Tech in Bioinformatics
    SASTRA University, India
    GPA 7.8/10 | 2017-2021

๐Ÿ›  Skills

Python JavaScript TensorFlow Flask FastAPI Django React PyTorch


๐Ÿ‘‹ Reach out to me! Always eager to connect with fellow tech enthusiasts.

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  1. e-HealthcareFaaS e-HealthcareFaaS Public

    [JBHI' 24] Neural Networks based Smart e-Health Application for the Prediction of Tuberculosis using Serverless Computing

    Python 3 1

  2. CloudAIBus CloudAIBus Public

    [Cluster Computing 24] [CloudAIBus: A Testbed for AI based Cloud Computing Environments

    Python 1 1