Summary
Nikunj Goel is a Senior AI Applied Research Scientist with nine years of experience turning high-frequency sensor data and messy telemetry into actionable engineering insights for aerospace and consumer products. At Joby Aviation he built and scaled real-time analytics and agentic LLM systems for flight-test operations, bridged research-to-production ML workflows, and applied physics-informed neural nets to approximate CFD for rotor and airframe design. His background spans healthcare sensing, large-scale gaming analytics for millions of users, and NLP research on human-rights text—demonstrating breadth across time-series, multimodal, and language models. He is fluent in PyTorch/TensorFlow, LangChain, Spark/Kafka, Docker/Kubernetes, and cloud GPUs, and routinely benchmarks and fine-tunes open-weight models for safety-critical contexts. Colleagues rely on him to translate ambiguous, high-stakes problems into interpretable, maintainable systems that deliver measurable ROI. Outside work he experiments regularly—whether with anomaly-detection approaches or perfecting a cocktail recipe—reflecting a practical curiosity that fuels incremental innovation.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (B.Tech.), Information Technology, Bachelor of Technology (B.Tech.), Information Technology at Jaypee Institute Of Information Technology
Graduate level coursework, Computation Data Science, Graduate level coursework, Computation Data Science at Carnegie Mellon University
Master's degree, Computer and Information Sciences, Master's degree, Computer and Information Sciences at University of Pittsburgh
English, Hindi