AIML Engineer | Systems-minded ML Developer | Open Source Contributor
📧 arjunjagdale14@gmail.com 🔗 LinkedIn 💻 GitHub
I build machine learning systems end-to-end — from model design and training to API deployment and infrastructure. Primary interests:
- Deep Learning (CV + NLP)
- Efficient fine-tuning (LoRA / PEFT)
- Retrieval-Augmented Generation
- Production ML APIs
- Open-source engineering
| PR | Repository | Type | Core Area | Impact | Link |
|---|---|---|---|---|---|
| #7831 | datasets | Bug Fix | NumPy 2.x Compatibility | Restored stratified splits for NumPy ≥ 2.0 | View PR |
| #3218 | dataset-viewer | Tests | Cache Layer | Added unit tests for cache step retrieval | View PR |
| #3206 | dataset-viewer | Refactor | Test Infrastructure | Removed duplicate repo settings logic (−222 LOC) | View PR |
| #7648 | datasets | Documentation | Dataset API | Clarified non in-place transformation behavior | View PR |
| #7623 | datasets | Bug Fix | Dataset Loading | Prevented unintended fallback to CWD in folder builders | View PR |
OSS details: 👉 https://github.com/ArjunJagdale/OSS
Core
- Python
- PyTorch
- Transformers
- scikit-learn
- NumPy / Pandas
LLM / RAG
- LangChain
- FAISS
- PEFT (LoRA)
Systems
- FastAPI
- Docker
- AWS EC2
- Git / GitHub
Foundations
- Data Structures & Algorithms
- Operating Systems
- Statistics
- Object-Oriented Design
- Built end-to-end classification pipeline
- Random Forest model (83% accuracy, ROC-AUC 0.83)
- Feature engineering, preprocessing, ensemble modeling
- Evaluation via probability metrics and macro F1
B.E. — Savitribai Phule Pune University (2023–2026)
If you're building serious ML systems, open to collaboration.