I am a Computer Scientist specializing in building scalable AI/ML solutions and predictive Data Science systems. My background bridges the gap between data science and AI engineering, with a specific focus on Predictive Data science systems, Transformer models, Retrieval Augmented Generation (RAG), RecSys, and Multi-Agent Orchestration.
I specialize in translating complex data into measurable business impact, from developing RAG pipelines for contextual course ranking to fine-tuning LLMs with LoRA (Low Rank Adaptation) for e-commerce search relevancy. I am highly proficient in Python (PyTorch, TensorFlow), C/C++ (OpenMP), and MLOps (AWS, Docker, Kubernetes) to deploy production-ready, low-latency inference services.
- Languages: Python, C/C++, JavaScript
- Databases: MySQL, MongoDB, Redis, Pinecone (Vector DB), REST
- AI/ML: LangChain, PyTorch, Scikit-learn, Model Context Protocol (MCP), Hugging Face, TensorFlow
- Frameworks: FastAPI, Streamlit, Node.js, OpenMP (Parallel Computing)
- Tools: Docker, Kubernetes, Git, CI/CD (GitHub Actions, Jenkins)
- Cloud: AWS (EC2, ECS, Elastic Beanstalk, Lambda)
- Portfolio: shaillpatell.netlify.app
- Email: patelshail233@gmail.com
- LinkedIn: linkedin.com/in/shailtp