AI Engineer
AKINROBOTICS
- Designed and implemented scalable NLP and multimodal training pipelines (LLM, ASR, TTS) using PyTorch-based ecosystems, enabling context-aware robotic interactions.
- Developed and optimized multimodal LLM systems (text, speech, vision, tool-calling) with a focus on model efficiency, latency reduction, and real-world deployment constraints.
- Built end-to-end embodied AI architectures integrating sensor data, grounding strategies, and hardware-aware inference pipelines.
- Led experimentation workflows including fine-tuning, evaluation, and reproducibility practices for production-grade AI systems.
PyTorchLLMsEmbodied AgentsROSMultimodal SystemsASRTTSCUDA