Rishikesh Bhatt is a founding engineer with 10 years of hands-on experience building low-level systems, AI/ML infrastructure, and reliable distributed platforms from the kernel edge to production ML pipelines. Based in Seattle, he has led real-time streaming and inference work for speaker diarization and RAG/agent orchestration at early-stage companies while previously shipping Layer 2 networking features, telemetry, and testing frameworks at Juniper Networks. His background blends systems programming (C, RISC‑V assembly, cross-compilation) with applied ML and security research, including syscall interception porting and IoT side‑channel analysis. Comfortable moving between research prototypes and production-grade engineering, he’s known for making model-specific engineering tradeoffs—such as bespoke audio filtering to enable real-time SortFormer inference—that turn academic approaches into deployable systems.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Information and Communication Technology, Bachelor's degree, Information and Communication Technology at Dhirubhai Ambani University
Master's degree, Computer Science, Master's degree, Computer Science at University of Florida
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