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pratikd2124/README.md

Hi, I'm Pratik Dhumal πŸ‘‹

AI/ML Student | Full-Stack Developer | Building AI Agents, RAG Systems & Intelligent Web Products

I am currently pursuing a Master of Artificial Intelligence and Machine Learning at the University of Adelaide.
My work focuses on combining AI/ML, full-stack development, cloud deployment, and product thinking to build practical solutions for real-world problems.

I enjoy working on projects involving LLMs, RAG systems, AI agents, computer vision, voice AI, automation workflows, and SaaS-style applications.


🌐 Connect With Me


πŸš€ About Me

  • πŸŽ“ Master’s student in Artificial Intelligence and Machine Learning
  • πŸ’» Background in MERN stack, Django, FastAPI, and cloud-based applications
  • πŸ€– Interested in LLMs, RAG, AI agents, Voice AI, and AI automation
  • 🧠 Exploring multimodal AI, including text, image, audio, and vision-based systems
  • 🌱 Currently building projects around AI assistants, healthcare/aged-care voice agents, agritech AI, and computer vision
  • πŸ” Open to AI Intern, ML Engineer Intern, Research Assistant, Full-Stack AI Developer, and Startup roles

🧩 Current Interests

  • Large Language Models
  • Retrieval-Augmented Generation
  • AI Agents and Tool-Calling Workflows
  • Voice AI Assistants
  • Computer Vision and Multimodal ML
  • FastAPI + React AI Applications
  • Cloud Deployment using AWS / Azure
  • Healthcare, AgriTech, Retail Analytics, and B2B AI Products

πŸ› οΈ Tech Stack

Programming Languages

Python JavaScript C++ SQL

AI / ML / Data

PyTorch Transformers LangChain OpenCV Scikit Learn

Web Development

React Next JS Node JS Django FastAPI

Databases & Cloud

PostgreSQL MySQL SQLite AWS Docker


πŸ“Œ Featured Project Areas

πŸ€– AI Agents & Voice AI

Building AI assistants for business use cases such as:

  • Lead generation
  • Appointment booking
  • Customer support
  • CRM automation
  • Healthcare and aged-care call handling

πŸ“š RAG & LLM Applications

Working on retrieval-based AI systems that use external knowledge sources to produce more grounded and useful responses.

πŸ‘οΈ Computer Vision

Projects involving:

  • Object detection
  • Image classification
  • YOLO-based safety detection
  • Multimodal risk assessment
  • Vision + weather/context fusion

🌾 AgriTech AI

Exploring AI tools that can assist with crop advice, soil quality interpretation, weather-aware recommendations, and farming decision support.

🌐 Full-Stack AI Products

Developing practical AI applications using:

  • React / Next.js frontend
  • FastAPI / Django backend
  • LLM APIs and open-source models
  • Cloud deployment workflows

πŸ“Š GitHub Stats


πŸ’‘ What I’m Looking For

I am open to opportunities where I can work on practical AI products, research-driven projects, or startup-style engineering problems.

I am especially interested in:

  • AI / ML Internships
  • AI Developer Roles
  • Research Assistant Roles
  • Full-Stack AI Developer Roles
  • Healthcare AI, AgriTech AI, B2B AI, and Voice AI Products

β€œI like building AI systems that are not just technically interesting, but actually useful in real business and human workflows.”

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