TestMu AI Author
Sandeep Yadav is a Senior Software Engineer at TestMu AI (formerly LambdaTest), where he builds the platform's test intelligence and AI-native engineering systems. He has architected autonomous GitHub Apps, vector-search code intelligence, and self-diagnosing QA workflows, and designed distributed platforms that process 2M+ daily test executions and 1B+ events, turning high-volume test, log, and code data into intelligent, self-optimizing systems. He works on embedding reasoning models into production infrastructure to power autonomous review, root-cause analysis, and analytics workflows.
He brings over four years of engineering experience with deep expertise in the Elastic Stack, Apache Kafka, and Redis. Earlier he engineered a GDPR-compliant, end-to-end-encrypted secure web-chat application at Mithi. A Facebook Hackercup 2021 Round 2 qualifier and merit-scholarship recipient, Sandeep holds a B.Tech in Electrical Engineering from Delhi Technological University.
Published Articles: 1
Articles by Author

Automation
AI Agent Tracing: Spans, Tool Calls and OpenTelemetryAI agent tracing explained: what an agent trace is made of, how OpenTelemetry names its spans, how context crosses MCP, and where a trace stops being evidence.
October 5, 2026

Automation
11 Best AI Observability Tools in 2026: LLM Tracing ComparedCompare 11 AI observability tools for LLM tracing and monitoring in 2026: tracing model, OpenTelemetry support, self-hosting, and which tools changed owners.
September 30, 2026

Automation
What Is AI Observability? Benefits, Tools & Best PracticesLearn what AI observability is, why it matters, and how it works. Explore tools, benefits, and practices for building reliable and trustworthy GenAI and agentic systems.
September 23, 2026

Automation
What Is Telemetry Data? Types, Examples, and Its Role in TestingTelemetry data is the metrics, logs, and traces systems emit about their own behavior. Learn its types, examples, how it is collected, and its role in testing.
July 14, 2026

Automation
AI Agent Observability: Tools, Tracing, and Best PracticesAI agent observability explained: what to trace with OpenTelemetry, seven agent observability tools compared, and the practices that keep agents debuggable.
September 11, 2026

Automation
AI Reliability Engineering: SLOs for Model-Backed FeaturesAI reliability engineering puts SLOs and error budgets on features that never repeat an output. See how to define the SLI, set a policy and degrade safely.
September 16, 2026





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