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Jigisha-p/README.md

Hi there!
I'm Jigisha Pawar

💡 AI/ML Engineer | Generative AI Specialist | AWS ML Certified

📍 London, UK
📧 jigisha.p16@gmail.com
🌐 LinkedInGitHubMedium


🔍 About Me

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.


🤖 What Drives Me

💬 Exploring the limits of language models
⚙️ Orchestrating intelligent LLM agents
🌐 Connecting knowledge retrieval with reasoning
📈 Turning ideas into real-world AI solutions


🧠 Core Skills & Tools

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


🧭 Currently Exploring

  • 🧠 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

✍️ My Digital Footprint


🌍 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

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