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St-Luciferr/README.md

Hi, I'm Santosh Pandey! πŸ‘‹

ML Engineer | GenAI & NLP Practitioner | Backend Developer

I'm a Python developer and machine learning engineer passionate about building intelligent systems with real-world impact. I specialize in developing scalable backends, GenAI-powered apps, and automations using Python, Django, FastAPI, and modern ML frameworks.

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πŸš€ What I'm Up To

  • πŸ”­ Currently building: AI-powered agents and document intelligence systems using RAG + LLMs
  • 🌱 Exploring: Vector databases, multi-modal LLMs, embedded ML, and system design
  • πŸ’¬ Ask me about: RAG pipelines, NLP, FastAPI, Celery, and Generative AI
  • ⚑ Fun fact: I containerize everything I deploy β€” even my ideas sometimes 🐳

πŸ› οΈ My Tech Stack

AI/ML & GenAI Backend Frontend DB & Cloud Tools & DevOps
Pytorch TensorFlow LlamaIndex HuggingFace Pinecone scikit-learnOpenCV FastAPI Django Flask DRF React NextJS MongoDB PostgreSQL Firebase AWS Azure Git Docker Nginx Linux RobocorpGithub Actions Postman

🧠 Projects & Highlights

  • πŸ”Ή Medical Q/A Chatbot (RAG) β€” Semantically retrieves and answers medical queries with citations using LlamaIndex + Pinecone + Jina AI.
  • πŸ”Ή WhatsApp AI Chatbot β€” Conversational agent on WhatsApp using OpenAI's GPT + function calling via Django.
  • πŸ”Ή TrekPal Nepal β€” Tourism site with bookings, PACO integration, and admin panel (React + Django + Mongo).
  • πŸ”Ή Continual Monument Detection β€” Computer vision system with meta-learning for continual object detection.
  • πŸ”Ή Smart Dustbin (TinyML) β€” Real-time garbage classification system using embedded ML on ESP32-CAM.

πŸ“š Certifications

  • 🧠 Deep Learning Specialization – Coursera
  • ☁️ Google IT Support + Automation with Python – Coursera
  • 🧰 Python for Everybody – Coursera
  • 🧩 Building GenAI Applications with MongoDB – MongoDB University
  • 🐳 DevOps with Docker – The University of Helsinki (mooc.fi)

πŸ“ˆ GitHub Stats

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  1. Pixel-scouts/Continual-Monument-Detection Pixel-scouts/Continual-Monument-Detection Public

    Implementation of Continuall Monument detection (Major Project BCT076)

    Jupyter Notebook 1

  2. DjangoChat DjangoChat Public

    Python

  3. Crosstalk0/OpenUp Crosstalk0/OpenUp Public

    HTML 1

  4. Q-A-Chatbot Q-A-Chatbot Public

    An interactive chatbot that answers questions based on your custom documents using retrieval-augmented generation (RAG) and LLMs.

    Python