Machine Learning Engineer
Focus: Computer Vision / AI Systems / Model Optimization
Status: Seeking 2026 Internship Opportunities
| Domain | Technologies |
|---|---|
| Deep Learning | PyTorch, TensorFlow, HuggingFace, JAX |
| Computer Vision | OpenCV, YOLO, MediaPipe, TorchVision |
| AI Systems | LangChain, Vector DBs (Chroma/Pinecone), RAG |
| Engineering | Python, C++, C, Rust, Docker, Linux, Git |
Currently focusing on high-performance Computer Vision and RAG architectures. Selective projects will be published upon completion.
- Computer Vision: Deep Dive into Vision Transformers (ViTs) and zero-shot detection.
- AI Efficiency: Model quantization (INT8/FP16) and edge deployment.
- Systems: MLOps pipelines and distributed training architectures.