- 🎓 Third-Year Mechanical Engineering Student at IIT BHU.
- 🔬 Research Intern at Indian Statistical Institute (ISI) Kolkata.
- 📚 Currently learning Few-Shot Segmentation, Medical Image Analysis, LLMs, and RAG (Retrieval-Augmented Generation) techniques.
- 💬 Always excited to collaborate on AI/ML research, LLM applications, and cloud-based optimization projects.
- Languages: Python, C++, SQL
- Deep Learning & AI: PyTorch, TensorFlow, MONAI
- Medical Imaging: SimpleITK, Nibabel, ITK-SNAP
- LLMs & NLP: Huggingface Transformers, LangChain, OpenAI APIs
- RAG Systems: FAISS, ChromaDB, LangChain RAG, Custom Retriever Pipelines
- Web & APIs: FastAPI, REST APIs
- Cloud & Databases: AWS (basic)
- Others: Git, Docker, Jupyter Notebooks
- Few-Shot Learning
- Medical Image Segmentation (MRI/CT Scans)
- Iterative Graph Cut Refinement
- Retrieval-Augmented Generation (RAG) systems
- LLM fine-tuning and application
- Cloud Data Ingestion and Real-time FAQ Automation
- Backend development using FastAPI
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Few-Shot Segmentation for MRI and CT scans
Improved segmentation accuracy using ALPNet with iterative graph cut refinement for biomedical imaging. -
vestibular_fastapi
Developed a FastAPI-based backend for vestibular disorder data management, featuring efficient API design and database interaction. -
Dam Gate Design and CAD Modeling
Earlier experience in mechanical design, focusing on structural optimization of dam gates.
- ✉️ Email: [[email protected]]
- 🔗 LinkedIn: [https://www.linkedin.com/in/suyash-kumar-378918258/]
- 💻 GitHub: @sparrowjack234
- He/Him
- I love solving complex real-world problems by combining mechanical intuition, deep learning, and cutting-edge LLM techniques!