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Welcome to My GitHub profile!

👋 Hello there! I'm Abhijit Pal, an AI Engineer with a passion for pushing the boundaries of existing machine learning systems. With a strong foundation in mathematics and machine learning, I specialize in developing innovative algorithms and models that drive advancements in AI technology.

🤖 About Me

  • 🎓 I hold a Bachelor's degree in Electrical Engineering.
  • 💼 Currently, I am working at Samasra Soft Inc. with a team of skilled engineers specializing in addressing complex AI challenges.
  • 🌍 My vision is to harness the power of AI to make a positive impact on our world, while ensuring the mitigation of challenges like bias, discrimination and privacy concerns.

💡 What I Do

As an AI Engineer, my work focuses on several key areas:

  • Machine Learning: Designing and implementing machine learning models to analyze data, predict outcomes, and learn from new findings.
  • Deep Learning: Utilizing neural networks to tackle tasks related to image and natural language processing.
  • Computer Vision: The application of digital image processing methods to analyze and interpret visual data from the world, enabling the extraction of meaningful information from images and videos.
  • Natural language processing: Making use of algorithms that extract meaningful information from vast corpora of natural language.
  • Generative AI: The buzzword, my current focus is on implementing safeguards for these generative AI models to ensure that their generations do not lead to discrimination and privacy concerns

Please feel free to check out my projects in my repositories!

📫 Get in Touch

Let's connect and collaborate! You can reach me at:

I’m always open to discussing new projects, innovative ideas, or opportunities to collaborate. Whether you're a fellow engineer, a student, or someone with an interest in AI, feel free to reach out!

Thank you for visiting my GitHub profile. Don’t forget to star and follow if you find my projects interesting!

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ABHIJIT PAL's Projects

cleanlab icon cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

dcgan icon dcgan

Implementation of basic DCGAN (deep convolutional generative adversarial network), inspired heavily from Jason Brownlee's post on machinelearningmastery.com.

deepsat-6-satellite-image-classification icon deepsat-6-satellite-image-classification

Using the pre-trained ImageNet models and cyclical learning rates, we tried to classify the DeepSAT-6 dataset (https://csc.lsu.edu/~saikat/deepsat/) into 6 categories (barren land, trees, grassland, roads, buildings and water bodies). Due to the absence of occlusion by the cloud, we dropped the NIR channel of the data.

image-mix-with-controlnet icon image-mix-with-controlnet

A sample project to test out the features of streamlit. Provides a way to mix content and style of two images with help controlnet and clip-interrogator

mindsdb icon mindsdb

MindsDB connects AI models to databases.

mnist-retrain-with-deepxplore icon mnist-retrain-with-deepxplore

DeepXplore (https://arxiv.org/abs/1705.06640) is a white-box framework for testing deep neural networks. Here, I have used the examples generated by the framework to retrain LeNet-5, LeNet-4 and LeNet-1.

neural-style-transfer icon neural-style-transfer

Implementation of A Neural Algorithm of Artistic Style (https://arxiv.org/pdf/1508.06576.pdf)

rag-exp icon rag-exp

This is an experimental repo for performing RAG experiments with LangChain

revise-tool icon revise-tool

REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999

sentiment-analysis icon sentiment-analysis

Sentiment analysis on IMDB dataset using GloVe pre-trained embeddings and LSTM.

tripplannerbot icon tripplannerbot

This a streamlit app with langchain. It makes use of Bing maps API, OpenStreetMaps API and FourSquare API.

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