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paraglondhe098/README.md
Parag | LinkedIn Parag | LinkedIn

Namaste! I'm Parag 🫡

✨About me✨

  • ⚙️ Skills: Python, C++, SQL, data analytics, machine learning, deep learning, image processing, computer vision, NLP, LLMs, LLMOps, Gen AI, AIOps.
  • 🤖 Looking forward to work as an AI engineer, Data Scientist, or Computer Vision Engineer to deliver business needs and also grow myself by gaining diverse knowledge.
  • 🧬 Interested to explore reinforcement learning, genetic algorithms and NEAT (Neuroevolution of Augmenting topologies).
  • 🦄 Proficient in efficiently pre-training, fine-tuning, and utilizing open LLMs. Experienced in developing Gen AI applications using agentic AI, vector databases, and RAG.

Reach me out

Parag | LinkedIn Parag | LinkedIn Parag | Instagram Parag | X Parag | Gmail Parag | Gmail

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  1. avgen avgen Public

    A generator model that generates 2D human cartoon faces based on user inputs (hair type, face type, hair color, etc.).

    Jupyter Notebook 1

  2. pytorch-candle pytorch-candle Public

    An efficient training framework to train deep learning models

    Python 4

  3. ResearchXperts.ai ResearchXperts.ai Public

    Built an application to retrieve research papers from the Arxiv platform and generate responses to questions related to a specific research paper.

    Jupyter Notebook 1

  4. sentiment-classification-llm sentiment-classification-llm Public

    Implemented and fine-tuned BERT for a custom sequence classification task, leveraging LoRA adapters for efficient parameter updates and 4-bit quantization to optimize performance and resource utili…

    Jupyter Notebook

  5. image-colorization image-colorization Public

    Developed a cGAN to learn color distributions in images conditioned on their grayscale representations (luminance).

    Jupyter Notebook 1

  6. bigmart-sales-prediction bigmart-sales-prediction Public

    Implemented Xgboost model with optimum hyperparameters to predict sales in a BigMart mall.

    HTML