Ayush Anand

About

Machine Learning Engineer with experience in building end-to-end ML systems, from developing classical ML and deep learning models to deploying via MLOps. With a background in Mechanical Engineering and industrial operations, I apply structured problem-solving approaches to real-world ML applications.

Skills

Experience

• Mechanical Engineer

  Hindustan Zinc Ltd

  Sep 2025 – Feb 2026

Education

• Birla Institute of Technology (BIT), Mesra, Ranchi

  Under Graduation, B. Tech / BE

  2021 – 2025

• Loyola School, Jamshedpur

  High School (12th)

  2018 – 2020

• Loyola School, Jamshedpur

  High School (10th)

  2016 – 2018

Projects

• Signature Forgery Detection

  Developed a binary image classifier (to distinguish between Forged and Original signatures) by using a pre-trained ResNet-34 in PyTorch and made the model available via FastAPI. Constructed a validated data ingestion pip

  Deep Learning · Docker · FastAPI · MLflow · Machine Learning

• Kidney Disease Classification

  Created an end-to-end deep learning pipeline to classify kidney CT scans using transfer learning with VGG16, employing a modular and config-driven architecture. Fixed an unstable learning rate through experimentation, wh

  Deep Learning · Docker · MLflow · Machine Learning

• SMS Spam Classification

  Compared over 10 classification algorithms and selected Multinomial Naive Bayes with 3,000 TF-IDF features, reaching 97.1% accuracy, 100% precision, and 98.2% ROC-AUC on test data. Automated the ingestion-to-evaluation p

  Deep Learning · Machine Learning · Streamlit