Welcome to my portfolio! I'm passionate about leveraging the power of Machine Learning to solve real-world problems. This repository serves as an introduction to my work in the field of Machine Learning.

As I set my sights on a rewarding career, my goal is to contribute my expertise to cutting-edge Machine Learning and NLP projects in a professional setting. I am eager to collaborate with like-minded professionals and organizations, driving innovation and making a meaningful impact in the AI landscape.

• Project: IMAGE GENERATION API WITH FASTAPI
• Description: Developed an ML Image Generation API with FastAPI, seamlessly integrating a pre-trained model for stable diffusion, and implementing dynamic API endpoints for prompt-based image generation with automatic validation and documentation.
• Repository: Image generation API with FastAPI Project Repository

• Project: PARAMETER-EFFICIENT FINE-TUNING FOR TEXT SUMMARIZATION WITH LORA
• Description: Executed full fine-tuning on an AWS SageMaker Flan-T5 language model for text summarization, utilizing specific prompts to enhance ROUGE scores. Implemented Parameter-Efficient Fine-Tuning (PEFT) with LoRA, reducing model size and resources while maintaining quality, and conducted a comparative analysis of full fine-tuned and PEFT models using ROUGE metrics, showcasing resource-saving advantages.
• Repository: PEFT for text summarization with LORA Project Repository

• Project: CAR DETECTION USING YOLO ALGORITHM
• Description: Implemented car detection with the YOLO algorithm and TensorFlow in Python, utilizing the YOLOv2 model with pre-trained weights, improving accuracy through non-max suppression (NMS) and intersection over union calculations, and generating bounding box tensors for practical object detection applications.
• Repository: Car detection using YOLO algorithm Project Repository

• Expertise:
  Python • TensorFlow • Scikit-learn • Pandas • Matplotlib • NLTK • spaCy • LLMs
• Intermediate:
  PyTorch • SQL • PySpark • HuggingFace • LangChain • AWS • FastAPI
• Familiar:
  GCP • Docker • Tableau • JAX • MATLAB • Gradio

• Generative AI with Large Language Models | DeepLearning.AI (October 2023)
• Natural Language Processing | DeepLearning.AI (September 2023)
• Practical Data Science on the AWS Cloud | AWS (May 2023)
• Machine Learning Engineering for Production (MLOps) | DeepLearning.AI (January 2023)
• TensorFlow: Advanced Techniques | DeepLearning.AI (September 2022)
• TensorFlow Developer Professional Certificate | DeepLearning.AI (August 2022)
• Machine Learning | Stanford University/DeepLearning.AI (August 2022)
• Deep Learning | DeepLearning.AI (February 2022)
• Machine Learning | Stanford Online (October 2021)

I'm always open to new opportunities and collaborations. Feel free to reach out to me through any of the following channels:

• LinkedIn: chirag05b
• Email: [email protected]

Thank you for visiting my portfolio, and I look forward to connecting with you!