Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings
@manthan89-py
manthan89-py
Follow
View manthan89-py's full-sized avatar
⚑
Think , Code, Compile & Fire πŸ”₯

Manthan Bhikadiya manthan89-py

⚑
Think , Code, Compile & Fire πŸ”₯
Transforming πŸ› οΈ ideas into AI πŸ€– realities through code and innovation 🧠.

Block or report manthan89-py

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
manthan89-py /README.md

πŸ‘‹ Hello, I'm Manthan

AI/ML Engineer | LLM & GenAI Specialist | Software Engineer II at Bristol Myers Squibb πŸš€

Transforming ideas into AI realities through code and innovation.

🎯 What I'm Up To

  • πŸ€– Specializing in Large Language Models, Generative AI, and AI Agents
  • πŸ”¬ Researching and implementing cutting-edge AI solutions in healthcare
  • 🌱 Building scalable AI/ML pipelines and architectures
  • πŸ‘₯ Open to collaboration on innovative AI projects
  • πŸ“š Exploring the path to Artificial General Intelligence (AGI)

πŸ› οΈ Technology Arsenal

🧠 AI/ML Ecosystem

LLM & GenAI Tools β”‚ ML Frameworks β”‚ Data Science
────────────────────────────────────────────────────────────
β–£ LangChain β”‚ β–£ PyTorch β”‚ β–£ NumPy
β–£ CrewAI β”‚ β–£ TensorFlow β”‚ β–£ Pandas
β–£ LangGraph β”‚ β–£ Keras β”‚ β–£ Scikit-learn
β–£ Phidata β”‚ β–£ Transformers β”‚ β–£ SciPy

πŸ”§ Development Stack

Backend β”‚ Frontend β”‚ DevOps & Tools
────────────────────────────────────────────────────────────
β–£ FastAPI β”‚ β–£ ReactJS β”‚ β–£ Docker
β–£ Django β”‚ β–£ Streamlit β”‚ β–£ Git
β–£ Flask β”‚ β–£ Gradio β”‚ β–£ MLflow
β–£ PostgreSQL β”‚ β–£ Plotly β”‚ β–£ DVC

🎨 Visualization & Analysis

Data Visualization β”‚ Computer Vision β”‚ NLP Tools
────────────────────────────────────────────────────────────
β–£ Matplotlib β”‚ β–£ OpenCV β”‚ β–£ spaCy
β–£ Seaborn β”‚ β–£ PIL β”‚ β–£ NLTK
β–£ Plotly β”‚ β–£ Scikit-Learn Image β”‚ β–£ Hugging Face
β–£ Bokeh β”‚ β–£ MediaPipe β”‚ β–£ Tokenizers

πŸš€ ML Deployment & Scaling

Model Serving β”‚ Monitoring β”‚ Infrastructure
────────────────────────────────────────────────────────────
β–£ BentoML β”‚ β–£ MLflow β”‚ β–£ AWS
- | β–£ Grafana | β–£ GCP

πŸ’» Expertise Level

{
 "Expert": ["Python", "AI ML Development"],
 "Intermediate": ["Backend Development", "Visualization & Analysis",],
 "Learning": ["Model Serving", "Model Deployment", "Monitoring Tools"]
}

πŸŽ“ Core Expertise Areas

mindmap
 root((AI Expertise))
 LLM and GenAI
 Prompt Engineering
 Fine-tuning
 RAG Systems
 AI Agents
 Multi-agent Systems
 Autonomous Agents
 Agent Orchestration
 Traditional ML/DL
 Computer Vision
 Natural Language Processing
 Time Series
 MLOps
 Pipeline Design
 Model Deployment
 Cloud Infrastructure & Monitoring
 Software Developlemt
 API Development
 Database Management
 Basic UI Development
Loading

🎯 Project Focus Areas

pie title Current Project Distribution
 "LLM Applications" : 30
 "Generative AI" : 10 
 "AI Agents" : 30
 "Full Stack AI Application" : 20
 "Traditional ML" : 10
Loading

🀝 Connect & Collaborate

Pinned Loading

  1. Heart-Disease-Prediction Heart-Disease-Prediction Public

    This project is combination of data analysis and machine learning. In this project First I try to find features and make different three type of models. Do some analysis and finally getting accurac...

    Jupyter Notebook 10

  2. Image-Creation-Using-GANs Image-Creation-Using-GANs Public

    In this Project, We are Simple Creating Images Which have a similar look like images that we have trained our Model. Note that image can be anything but it generated by itself.

    Jupyter Notebook 1

  3. Tic-Tac-Toe-Reinforcement-learning Tic-Tac-Toe-Reinforcement-learning Public

    This is a simple game of tic-tac-toe with Artificial Intelligence

    Jupyter Notebook 1

  4. Plant-Disease-Detection Plant-Disease-Detection Public

    Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation

    Jupyter Notebook 315 213

  5. Denoise-the-Image-using-Autoencoder Denoise-the-Image-using-Autoencoder Public

    In this project we are simply add a noisy images in out model and model simple some % noise in the image return cleanned image as output. Autoencoder is used because it used encoder and decoder con...

    Jupyter Notebook 1

  6. Fake_News_detection Fake_News_detection Public

    This Project is based on Binary Classification of News. The Model Will detect whether the news is fake or not. This is project implement using Keras and NLTK Libraries.

    Jupyter Notebook 14 5

AltStyle γ«γ‚ˆγ£γ¦ε€‰ζ›γ•γ‚ŒγŸγƒšγƒΌγ‚Έ (->γ‚ͺγƒͺγ‚ΈγƒŠγƒ«) /