Recent PhD from Bournemouth University (Feb 2026). My skill set spans from signal processing to deep learning. My background: BS Electrical Engineering, MS Control Systems, PhD in Media and Communication.
I'm looking for opportunities related to Speech processing, Deep learning, and embedded systems.
🎙️ AI & Speech Processing Expertise
- TTS (parallel & autoregressive), style adaptation, prosody modeling
- LLMs & Conversational AI: training, fine-tuning, inference optimization
- Audio Analysis: acoustic features, phoneme/syllable extraction, speaker/emotion analysis
- ML Infrastructure: PyTorch model design, training at scale (up to 1B params), GPU optimization
- Data Handling: multimodal dataset integration, preprocessing, large-scale analysis
🔧 Supporting Technical Expertise
- Embedded programming: C++ for microcontrollers, ROS
- RF systems and wireless communications
- Sensor integration
- Rapid prototyping
Experience
2021-2025: PhD Research (EPSRC-funded)
Worked on TTS systems (parallel and autoregressive) and style adaptation techniques as part of my thesis. Also developed virtual assistant chatbots for health diagnostics.
2019-2020: IoT Startup, Wuhan
Small predictive IoT company working on embedded systems. Designed and built prototypes for smart homes to based on prediction of user behavior and weather patterns.
2015-2017: Comcept Limited
Worked on sensors and automation for telecom and defense contracts. Projects included utltrasound detectors, autoloaders, precision weather sensors, range sensors, RF detectors/jammers, and infrasound/seismic sensors.
Hobby Projects
Over the years, I've built prototypes for industrial experiments and custom gadgets for theater productions. Usually handling everything from programming to nuts and bolts. Open to RF-related projects.
Open Source
Contributed to Open-source speech processing community on Github, and Arduino libraries.
Contact: radial-ninja-murky@duck.com