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Name: Ankit Aglawe

Type: User

Bio: LLMs, Open source, Synthetic data

Location: Manchester

Blog: https://ankit-aglawe.github.io/ankit-aglawe/

About Me

👨‍💻 I'm Ankit Aglawe, a Machine Learning Engineer based in Manchester, UK. With a master's degree in AI and over 5 years of experience, I thrive on exploring the vast possibilities of AI and creating innovative solutions. My expertise lies in Text Classification, LLMs, and Financial AI.

Some Projects ! ✨

🔭 Image2Caption: Deep Learning-based Image Captioning: 📸 Experience the magic of AI-generated captions for images. This project uses a fusion of CNN and Transformers to bring images to life with descriptive and contextually relevant captions.

🚀 ResumeRanker: Intelligent Resume Screening: 📄 Simplify the hiring process with this AI-powered tool that ranks resumes based on relevance and key criteria, leveraging machine learning to streamline recruitment.

🌐 SentimentPredictor: Sentiment Analysis Package: 💬 A flexible sentiment analysis predictor package supporting multiple pre-trained models, customizable preprocessing, visualization tools, fine-tuning capabilities, and seamless integration with pandas DataFrames.

🌟 EmotionClassifier: Emotion Classification Package: 🧠 Classify emotions in text using various pre-trained models with this user-friendly package. It includes customizable preprocessing, visualization tools, and integration with data platforms.

Articles and Contributions 📝

📄 How to Perform Sentiment Analysis on Reviews Using a Fine-Tuned RoBERTa Model: Explore my detailed guide on performing sentiment analysis using a fine-tuned RoBERTa model.

📄 How to perform Emotion Classification on Text Using a Fine-Tuned DeBERTa Model: Discover my comprehensive article on emotion classification on text, utilizing a fine-tuned DeBERTa model.

Hugging Face Contributions 🤗

📊 Categorized Text Reviews Dataset: A comprehensive dataset of categorized text reviews for various NLP tasks.

🔍 RoBERTa Base Sentiment Analysis Model: Fine-tuned RoBERTa model for sentiment analysis on text reviews.

🧠 DeBERTa v3 Small Base Emotions Classifier: Emotion classification model fine-tuned on a variety of text data.

🧠 DeBERTa XLarge Base Emotions Classifier: Advanced emotion classification model for nuanced emotion detection.

🌐 Reviews RoBERTa Sentiment Analyser (Hugging Face Space): Interactive space for performing sentiment analysis on text reviews using the fine-tuned RoBERTa model.

Let's Connect! 🤝

📫 Feel free to reach out to me for collaboration opportunities or to discuss fascinating AI ideas. Let's shape the future together! Connect with me on LinkedIn and check out my other projects on GitHub.

Ankit Aglawe's Projects

android_device_motorola_athene

Device Tree for Moto G4/G4 Plus (athene)

android_kernel_motorola_msm8952

ankit-aglawe

artificial-intellegence

My project and Study stuff about AI

awesome-deep-learning-papers

The most cited deep learning papers

bird_species_classification

Supervised Classification of bird species :bird: in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

cvnd---gesture-recognition

data_science_interview_guide

These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube

deep-learning

:pushpin: Deep Learning reference Algorithms and Projects

edge-detection

emotionclassifier

A flexible text emotion classifier with support for multiple models, customizable preprocessing, visualization tools, fine-tuning capabilities, and more.

hadoop-pig

:pushpin: all stuff and data of hadoop

image2caption-cnn-transformers

Image2Caption is an AI-powered project that generates descriptive captions for images. By leveraging advanced deep learning techniques, including Convolutional Neural Networks (CNNs) and Transformers, Image2Caption extracts meaningful features from images and generates accurate captions.