Natural Language Processing

TinyBERT Sentiment Classification Optimization (IMDB)
21.5% lower latency with no accuracy loss — achieved by optimizing transformer inference for high-throughput text classification.

Ideal for: customer support automation, review moderation, real-time NLP pipelines.

Tabular Models

Credit Card Fraud Detection — Inference Acceleration
Delivered a 55% speed-up and major FLOP reduction on a production-style fraud classifier.

Ideal for: fintech risk scoring, real-time decision systems, high-volume tabular inference.

Computer Vision

CNN Image Classification Acceleration (OCR Example)
Achieved 20% faster inference on a CNN vision pipeline using MoCo optimization.

Ideal for: OCR, document AI, industrial inspection, visual moderation.

Audio

Client Deployment — Audio Classification Optimization
Reduced GPU hours by 13% for an audio event detection pipeline (fine-tuned ResNet50, PyTorch), with no measurable accuracy degradation.

Ideal for: call-center analytics, voice moderation, edge audio monitoring.