Nishad Wajge

Researcher and engineer interested in the areas of software, game theory, statistics, and machine learning.

Best way to reach me is linkedin or alternatively by email: [firstname] dot [lastname] at gmail dot com

Research

Gradient Fidelity in Learned World ModelsIn preparation · First author
Standardized Difficulty Labels for Profiling LLMsNeural Information Processing Systems, 2024Should Professionals Consider Their Adversary's Strategy?Computational Statistics, 2024 · First author

Experience

Amazon Lab126

Software Engineer Intern

Jun 2026 — Sep 2026
  • —Shipped a C++ on-device speaker identification module to a production vehicle fleet, off the response path.
  • —Quantized the embedding model to INT8 ONNX for real-time recognition on ARM silicon, and gated impostor-prone utterances to raise the true accept rate.
  • —Built an MLOps loop fed by fleet data for continuous fine-tuning of SLMs, ASR and TTS, with encrypted voiceprints synced across devices.
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© Nishad Wajge 2026