- 🔭 I'm currently working on Generative AI applications — LLM fine-tuning, RAG pipelines, and AI agents.
- 🌱 I'm exploring prompt engineering, vector databases, and multi-agent systems.
- 🎯 Career Goal: Looking for opportunities as a Generative AI / ML Engineer where I can build production-grade LLM-powered products.
- 💡 Interests:
- Large Language Models (LLMs)
- AI Agents & Autonomous Systems
- Applied Machine Learning
- ⚡ Fun Fact:
- 🤖 I like building things that make life easier.
- 🎧 I code best with music on.
Languages
Generative AI / ML
Backend & Frameworks
Databases & Vector Stores
Tools & Platforms
RAG-powered document Q&A system — upload PDFs, run semantic search, chat with your documents, and get instant summaries. Tech: Python, Transformers, FAISS, LangChain, Streamlit
An AI-powered recruiting agent that ranks candidates using FAISS semantic search, skill matching, and Groq LLM evaluation, with batch PDF/DOCX upload and CSV/JSON export. Tech: Python, FAISS, Groq LLM, Streamlit
A document intelligence system that brings RAG-based Q&A to enterprise document repositories. Tech: LangChain, FAISS, Groq Llama 3.3, Streamlit
A developer-focused assistant that accelerates everyday coding tasks with an AI chat interface and PDF summarization, built on Groq/OpenAI-compatible models. Tech: Python, Streamlit, Groq/OpenAI API
🔗 See all repos → github.com/Shiva-Sirimalla
- 🏅 [Certification / Achievement 1]
- 🏅 [Certification / Achievement 2]
- 🏅 [Certification / Achievement 3]
- 🤖 Multi-Agent AI Systems
- 🧩 Advanced RAG architectures
- ☁️ MLOps & LLMOps for production deployment
- 🌐 Open-source AI/ML projects
- 💼 Freelance GenAI development
- 🔬 Research in NLP / LLMs
- 🚀 Startup ideas in the AI space
⭐️ From Shiva-Sirimalla — thanks for stopping by!