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Hi there 👋

  • I am a passionate Junior ML Engineer with a strong background in Deep Learning and Artificial Intelligence, specializing in the development of innovative solutions for real-world challenges. My journey in the field has been marked by impactful projects, including the creation of a Deep Learning-based app for the accurate prediction of liver cancer from digital pathology images.

  • I thrive in collaborative environments, having contributed to projects that detect motorcycle rider traffic violations and published research on predicting the Fluctuations and Flow of Cryptocurrency Using ML Algorithms. My skills encompass MobileNetV3, Backpropagation, Grad-CAM, and XAI, and I'm well-versed in Python, EDA, and Machine Learning.

  • As a recent graduate of Silicon Institute of Technology with a B.Tech in Electronics and Communication Engineering, I have a strong foundation in technology and a passion for continuous learning, as evidenced by my certifications in Data Science and AI. I am excited to connect with like-minded professionals and explore opportunities to make a positive impact through AI and ML. Let's connect and innovate together!

Abhisek Mallick's Projects

advice icon advice

A repository of links with advice related to grad school applications, research, phd etc

cafe_website_using_django icon cafe_website_using_django

The Django café website seamlessly integrates HTML, CSS, JS, and Bootstrap for an intuitive interface. SQLite efficiently manages data, ensuring a smooth, responsive experience. With Django's robust framework, it establishes a secure, dynamic online presence for the café, accessible on all devices.

gfpgan icon gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

made-with-ml icon made-with-ml

Learn how to responsibly deliver value with machine learning.

ml_cheatsheet icon ml_cheatsheet

A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood

multimodal-deep-learning icon multimodal-deep-learning

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

probability_cheatsheet icon probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

py icon py

Repository to store sample python programs for python learning

roadmaps icon roadmaps

This repo is to add pages on various career paths and roadmaps such as data scientist, software engineer etc.

skin-cancer-detection-using_deepcnn icon skin-cancer-detection-using_deepcnn

Skin cancer detection is a challenging problem that requires identifying subtle differences in the appearance of skin lesions. In order to accurately detect skin cancer, a model must be able to capture these subtle differences and learn to distinguish between benign and malignant lesions.

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