TailorCV.ai
Developed an AI web application that optimizes resumes to job descriptions using LLMs and NLP pipelines, improving resume relevance by up to 80%.
I'm Shubham Sarkar, a results-driven Machine Learning Engineer passionate about enhancing AI applications. With expertise in Deep Learning, NLP, and Computer Vision, I thrive on solving complex challenges and deploying scalable solutions that make a real impact.
Every creator has their toolkit. These are the technologies and tools I reach for to turn ideas into experiences.
Every project is a story of curiosity turned into code — built to function and to feel right.
Developed an AI web application that optimizes resumes to job descriptions using LLMs and NLP pipelines, improving resume relevance by up to 80%.
Created an end-to-end YouTube sentiment analysis pipeline processing over 10,000 user comments, enhancing sentiment classification performance through NLP preprocessing techniques such as tokenization, lemmatization, and stopword removal.
Developed an NLP and CV pipeline to analyze 150,000 image and text data using transformer-based text encoders and CNN-based image embeddings, integrating them through a fusion neural network for price prediction.
Organized national-level events such as E-Summit 2025 and Hult Prize 2025, attracting over 5,000 registrations and 1,000+ attendees.
Great work starts with great conversations. Whether you want to collaborate or just say hi — I'm always open.