devashish = {
"role" : "Data Scientist / ML Engineer",
"focus" : ["Forecasting & Optimization", "Computer Vision", "Deep Learning"],
"currently" : "Building production-ready ML pipelines & CV systems",
"fun_fact" : "I also shipped a Chrome Extension on Chrome Store",
}|
ML-Powered Demand Forecasting & Inventory Optimization End-to-end retail intelligence system — from raw sales data to actionable inventory decisions. Trained 4 models on 913K rows of retail history, deployed as an interactive dashboard.
|
Real-Time Neural Style Transfer via AdaIN Implemented the Huang & Belongie (2017) AdaIN architecture from scratch. VGG-19 encoder extracts features; a custom decoder reconstructs stylized images. Two-phase training curriculum on Kaggle.
|
|
Chrome Extension — Anime Discovery Companion A full-featured Chrome Extension (Manifest V3) for anime discovery. Smart filters by genre, rating, episode count; streaming platform links; personalized recommendations; and a personal watchlist.
|
$ git status
On branch main
Changes staged for commit:
- new_project_1.py [NLP pipeline]
- new_project_2.py [Generative AI]
- new_project_3.py [MLOps tooling]
Stay tuned. 👀 |
Languages
ML / Deep Learning
Data & Visualization
Deployment & Tools
"The model is only as good as the engineer behind it."
