📍 London, UK
📧 jigisha.p16@gmail.com
🌐 LinkedIn • GitHub • Medium
I’m a data-driven AI/ML engineer with a strong passion for Generative AI, Large Language Models (LLMs), and Agentic AI.
I specialize in:
- Designing and deploying RAG pipelines with vector databases
- Building multi-agent LLM systems using CrewAI, Autogen, and LangGraph
- Crafting ethical, scalable, and business-aligned AI systems on cloud platforms like AWS and GCP
I believe in building AI that not only works—but works responsibly, intelligently, and collaboratively.
💬 Exploring the limits of language models
⚙️ Orchestrating intelligent LLM agents
🌐 Connecting knowledge retrieval with reasoning
📈 Turning ideas into real-world AI solutions
Languages & Libraries:
Python • Transformers • LangChain • LangGraph • CrewAI • Autogen • TensorFlow • Scikit-learn
Backend & MLOps:
FastAPI • Flask • Django • Docker • Git • CI/CD • VectorDBs (Pinecone, FAISS) • GraphDB • Postgres
Cloud & Infra:
AWS (certified) • Google Cloud • Azure
Specialized Areas:
LLMs • RAG • Prompt Engineering • Fine-tuning • Multi-Agent AI • Agentic Workflows • NLP • Model Deployment
- 🧠 Agentic AI: Building autonomous, goal-driven LLM agents with memory, planning, and task decomposition
- 🗂️ RAG at Scale: Combining LLMs with structured + unstructured knowledge for enterprise search
- 🛠️ LangGraph & CrewAI: Designing composable and orchestrated multi-agent systems
- 🧵 Prompt Engineering: Crafting robust, context-aware interactions with foundation models
🌍 Let’s collaborate to build the future of intelligent systems.
Always open to discussions around AI, LLMs, and what’s next in machine intelligence.
#GenerativeAI #AgenticAI #LLMs #RAG #LangChain #LangGraph #CrewAI #Autogen #AIEngineering #ML #AWS