Writing & Insights
Technical deep-dives, research reflections, and engineering perspectives by Vanshaj Awasthi.
- Building Interpretable Medical AI: Grad-CAM and Saliency Maps in Clinical Practice
May 2025 · 8 min read · Medical AI
How we integrated visual explainability into a neuro-oncology classifier — and why radiologists actually trusted it. A deep dive into Grad-CAM, SHAP, and…
- Optuna vs. Grid Search: Hyperparameter Optimization at Scale for Deep Learning
April 2025 · 6 min read · Deep Learning
After running 1,200 trials across three medical imaging models, here's what I learned about Bayesian optimization, pruning strategies, and when to stop…
- From EEG Noise to Neural Commands: Building a GenAI-Enhanced BCI
March 2025 · 7 min read · BCI / GenAI
Our ICEIL 2024 paper in plain English — how GAN-based data augmentation turned noisy EEG signals into reliable communication tools for users with motor…
- Deploying ML Models on AWS Lambda: A Practical Guide for Researchers
January 2025 · 5 min read · Cloud / MLOps
Everything I wish I knew before containerizing PyTorch models for serverless inference — cold starts, ONNX Runtime, layer limits, and cost surprises.