Experience

Amazon Lab126

Software Engineer Intern

Jun — 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.
  • —Built an MLOps loop fed by fleet data for continuous fine-tuning of SLMs, ASR and TTS.

Amazon Leo

ML Engineering Lead

Jan — May 2026
  • —Forecasted G7 space policy a year out with a three-model time-series ensemble.
  • —Built an ETL turning a data lake into a queryable database, and smoothed signals temporally to cut Type I errors.

General Dynamics Information Technology

Software Engineer Intern

Jun — Aug 2025
  • —Deployed a zero-to-one edge vision module detecting vehicles and streaming geospatial telemetry to connected users.
  • —Held out-of-sample accuracy on noisy sensor data through projected gradient descent adversarial training.
  • —Architected a thread-safe, quantized three-stage pipeline running on a TPU over live video feeds.

General Dynamics Information Technology

Engineering Project Lead

Jan — May 2025
  • —Led a team of engineers shipping a hybrid graph and vector RAG pipeline over an agency record corpus to analysts.
  • —Raised retrieval accuracy with custom chunking and named-entity recognition, cutting analyst discovery time.

Booz Allen Hamilton

Engineering Project Manager

Sep — Dec 2024
  • —Automated medical policy audits with summarization and sentiment analysis pipelines.
  • —Built a full-stack, human-in-the-loop scraping and audit pipeline to cut manual review time.

Internal Revenue Service

Software Engineer Intern

Jan — Dec 2024
  • —Upgraded division-wide Jenkins CI/CD (JDK 11 to 17) for fraud detection across national tax applications.
  • —Cut build times for the division by migrating a twenty-year-old Java system from Ant to Maven.
© Nishad Wajge 2026