๐ก Highlights
- ๐ง Fine-tuned Large Language Models (LLMs) for tasks like Natural Language Inference (NLI) and medical reasoning
- ๐งช Applied quantization and knowledge distillation to compress large models while preserving accuracy
- ๐ Designed agentic AI systems with autonomous task execution and multi-step reasoning pipelines
- ๐งฐ Built modular microservice-based ML inference platforms using FastAPI, Docker, and REST APIs
- ๐ Worked on predictive maintenance & RUL estimation using real-world datasets
- ๐ฌ Focused on model efficiency, explainability, and deployment-readiness across applied ML workflows
What I work with
Python
Jupyter
Streamlit
Azure
Google Cloud
AWS
PyTorch
TensorFlow
MongoDB
SQLite
FastAPI
Docker
LangChain
Python
Jupyter
Streamlit
Linux
Azure
Google Cloud
AWS
PyTorch
TensorFlow
MongoDB
SQLite
FastAPI
Docker
LangChain
CUDA
Ollama
together.ai
Tavily
OpenAI
Gemini
Anthropic
Deepseek
CUDA
Ollama
together.ai
Tavily
OpenAI
Gemini
Anthropic
Deepseek