All authors

Gurudutta Ramanathaiah

Engineering

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Voice AI has a latency problem: users expect instant responses, but hallucination checks can take seconds. In real-time conversation, adding a verification step before speech often makes an AI agent feel slow and unnatural. GhostEdit – a real-time safety layer we built at Infinitus that checks each spoken AI response against grounded knowledge and triggers...
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In AI evaluation, pass@k measures capability: given k attempts, what is the probability that at least one output is correct? For example, imagine an AI generating prior authorization summaries. If the model produces five variations and at least one meets the desired result, that counts as a success. If this happens in 92 out of...
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For years, technical interviews have relied heavily on LeetCode-style problems: algorithms, data structures, and whiteboard puzzles. While these can test pattern recognition and persistence, they rarely reflect the realities of day-to-day engineering. The gap between “acing the interview” and “thriving in the role” has grown too wide. Attracting and hiring great engineers requires a better...
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As the use of agentic AI systems accelerates across industries, particularly in healthcare, it becomes essential to understand the infrastructure and protocols that enable scalable, modular, and interoperable agent-based ecosystems. Two key enablers in this space are the Model Context Protocol (MCP) and the Agent2Agent (A2A) protocol. While each serves a distinct purpose, their complementary...
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Throughout my career in engineering leadership, I’ve always been driven by one core belief: Technology should solve real problems that matter. After spending the past few years helping build and scale incredible systems at Sigma Computing, Sonder, and Twilio, to name a few, I found myself at a crossroads – grateful for the journey so...

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