Suhas Goravale Siddaramu
I work on the layer between a model and the metal it runs on.
Five years of getting models to run somewhere real — distributed across a Slurm cluster, served through a traced inference pipeline, or running entirely offline on someone's own machine.
- Role
- Computer Research Scientist, AI
- Site
- Universitätsklinikum Tübingen
- Location
- Reutlingen, Germany
- Focus
- Distributed training on Slurm · LLM PEFT fine-tuning · Quantization & inference optimization · Agentic RAG
RUNNING — pushed in the last 60 days
IDLE — within the year
COMPLETED — older
LLM & retrieval
- HuggingFace
- PEFT
- LoRA
- LoReFT
- BitsAndBytes
- LangChain
- Ollama
- FAISS
- Vector DBs
Training & inference
- PyTorch
- DDP
- FSDP
- TensorFlow
- Keras
- ONNX
- TVM
- scikit-learn
- OpenCV
Clusters & MLOps
- Slurm
- Docker
- Kubernetes
- Podman
- Argo Workflows
- GitLab CI
- GitHub Actions
- GCP
- AWS
Programming
- Python
- Bash
- SQL
- C
Data
- pandas
- NumPy
- Matplotlib
- Seaborn
Environment
- Linux
- uv
- Anaconda
- LaTeX
- Jira
- M.Sc. Embedded Systems Technische Universität Chemnitz 2017–2021
- B.E. Electronics & Communication Visvesvaraya Technological University, India 2012–2016
- EnglishNative
- KannadaNative
- GermanB1