AI/ML Engineering Student | Deep Learning • Computer Vision • LLM/RAG
I’m a Mathematics & Computing engineering student interested in building practical AI systems, from model development and experimentation to real-time inference and deployment.
My primary interests are:
- Deep Learning & Computer Vision
- LLM / RAG Systems
- Reinforcement Learning
- AI Systems & ML Engineering
I enjoy going beyond training a model — understanding the data pipeline, evaluation, inference, backend, and deployment that turn an ML model into a usable system.
Deep Learning
├── Computer Vision
│ ├── Video Transformers
│ ├── Human Pose Estimation
│ └── Real-Time Vision Systems
│
├── NLP / LLM Systems
│ ├── RAG
│ ├── Semantic Search
│ └── Vector Retrieval
│
└── Reinforcement Learning
└── Neuroevolution / NEAT
| Category | Technologies |
|---|---|
| Languages | Python, C++, SQL, R, Dart |
| Deep Learning | PyTorch, TensorFlow, Transformers |
| Computer Vision | OpenCV, MediaPipe, YOLOv8, Swin3D, CLIP |
| LLM / NLP | Hugging Face, LangChain, Sentence Transformers, RAG |
| Vector Search | FAISS, HNSW |
| Backend / APIs | FastAPI, Flask, WebSockets |
| Data / Infrastructure | Redis, Supabase, Docker |
| Development | Git, Linux, Streamlit, Jupyter |
- Multi-Agent Reinforcement Learning
- AI automation systems
- Production-oriented ML engineering
- Scalable inference and AI system design
I’m currently looking for AI/ML engineering internships and entry-level opportunities, particularly in:
Deep Learning · Computer Vision · LLM/RAG · AI Systems
Also open to collaborating on interesting research and open-source AI projects.