Rudresh Upadhyaya
Software Engineer @InOrbit.AI
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WORK HISTORY
Software Engineer @InOrbit.AI
Mountain View, CA, US
Created algorithms using ROS for real-time occupancy detection to manage robot entry into restricted areas and single occupancy zones, reducing multi-robot congestion and enhancing safety by dynamically restricting simultaneous access- Designed an IoT connector enabling seamless telemetry and command handling, achieving faster response times and consistent stability in door and elevator operations
EDUCATION
University of Wisconsin-Madison
Bachelor's degree
ABOUT RUDRESH UPADHYAYA
I’m a Software Engineer passionate about building scalable AI applications and backend systems that power real-world impact. From deploying GPU-accelerated inference stacks to designing distributed APIs and telemetry pipelines, I thrive at the intersection of AI infrastructure and systems engineering. I’ve worked across startups and enterprise environments - shipping Slack-integrated GPT assistants, building real-time IoT connectors, and prototyping LLM tools with LangChain, LlamaIndex, and vLLM. Whether optimizing inference latency with ONNX Runtime or orchestrating multi-agent GPT systems, I enjoy transforming complex technologies into clean, usable products. Currently focused on: • LLM deployment and retrieval-augmented generation • Scalable backend APIs & real-time data infrastructure • Developer tools powered by semantic search & agents Let’s connect if you’re working on anything AI + systems or just want to talk :)
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