Ucchwas Talukder Utsha

Advancing real-time medical care with embedded IoT, Cyber-Physical Systems, and edge-AI-driven machine learning.

Biography

I am a PhD candidate in Computer Science at Texas Tech University, with a specialization in real-time healthcare applications. My research pushes the boundaries of embedded IoT, cyber-physical systems, and edge-AI, delivering ultra-low-power sensor designs and cutting-edge deep learning solutions, including Large Language Models (LLMs) for physiological signal prediction. These innovations fuel next-generation wearable and mobile health technologies, enhancing clinical decision-making and personalized care.

In parallel, I bring hands-on industry experience as a full stack developer and software engineer. I’ve built and deployed robust software systems used by thousands, with expertise in architecting scalable REST APIs, maintaining production-grade backends, and designing intuitive web and mobile interfaces. My work also includes deploying secure, privacy-preserving data pipelines and AI models on edge devices, blending advanced research with practical engineering.

I am motivated to collaborate with dynamic, innovative teams, utilizing my expertise in system design, AI optimization, and scalable, user-focused solutions. I look forward to joining forward-thinking organizations, applying the transformative power of AI and LLMs to develop intelligent, impactful technologies that shape the future.

Education

  • Texas Tech University, PhD in Computer Science (Expected December, 2025)
    • Coursework: Neural Networks, Adversarial Machine Learning, Network Security, Software Project Management, Parallel Processing, Cryptography, Computer System Organization & Architecture, Software Analytics, Pattern Recognition, Principles of Multiprocessor Systems, Theory of Automata, Logic for Computer Scientists, Analysis of Algorithms
  • Bangladesh University of Engineering and Technology (BUET), BSc in Computer Science & Engineering, 2021
    • Coursework: Data Structures & Algorithms I & II, Computer Architecture, Operating Systems, Microprocessors & Microcontrollers, Real-time Embedded Systems, Software Architecture, Database Systems, Software Engineering, Machine Learning, Artificial Intelligence, High Performance Computing, Computer Networks, Compiler Design, Linear Algebra, Laplace Transformation & Fourier Analysis, Electronic Devices & Circuits

Skills

  • Programming Languages: Python, Java, C++, JavaScript, C, SQL, Bash, R, Go, Rust, TypeScript
  • Frameworks & Libraries: TensorFlow, PyTorch, Django, Node.js, React.js, Keras, scikit-learn, Hugging Face, Apache Spark, Kafka
  • Tools & Platforms: Git, Docker, Kubernetes, AWS, Azure, Google Cloud Platform, Jenkins, GitHub Actions, MATLAB, Jupyter Notebooks, Visual Studio Code, Linux
  • Specialized Skills: Edge Computing, Large Language Models (LLMs), Embedded IoT Systems, Cyber-Physical Systems, Adversarial Machine Learning, Real-time Signal Processing
  • Soft Skills: Problem-Solving, Technical Communication, Research Leadership, Project Management, Critical Thinking