I primarily worked on ML Automation of Taxonomy Tagging at Scale. I wore many hats like Data Scientist and Machine Learning Engineer.
1. Developed and Deployed over 250+ image models for various attributes like sleeve_length, pattern, etc for over 35 product categories
2. Color quantization models using Vision Transformers and K-Means Clustering
3. A baseline brute force continual learning framework for periodic retraining of models.
4. Model tracking and experimentation using neptune.ai
5. Deployment of batch-mode inference using Pyspark + EMR + Airflow
6. Python project development using nbdev.fast.ai
Apart from technical work, I proactively:
1. Hosted a weekly research & talks forum
2. Mentored juniors and interns
3. Wrote blog posts
4. Gave work demos and presented in org-wide forums