Amrit Singh

About Amrit Singh

Architected and led development of multiple Agentic AI solutions to automate engineering workflows including PR intelligence, test generation, build orchestration, and autonomous error resolution. Designed a LangGraph-based multi-agent architecture with specialized Build, Test Generator, and Error Resolver agents, integrated with Redis, Celery, FastAPI, and LLM-driven reasoning pipelines to enable distributed, event-driven execution.Delivered an end-to-end AI-powered test generation platform capable of:Analyzing PR diffs and code contextLearning repository-specific coding patternsGenerating production-ready Go/Java test casesExecuting automated validations and build pipelinesPerforming failure analysis and auto-fixing testsRaising validated PRs autonomouslyImplemented a RAG-based knowledge retrieval system using curated order payloads, domain datasets, and valid-value repositories to improve test accuracy, contextual reasoning, and edge-case coverage.Lead backend automation engineering for AMX order-placement workflows using Java, Cucumber, Gherkin, RestAssured, and API-driven validation, covering complete order lifecycle scenarios across exchange-level integrations and risk validations.Strong focus on:Distributed system design & async workflowsLLM orchestration & agent collaboration patternsCI/CD and build pipeline automationScalable automation frameworksEngineering productivity platformsPassionate about building AI-first engineering ecosystems, scaling automation strategy, and enabling teams to move from manual validation to autonomous engineering execution.

Experience

1. Engineering Manager

   Angel One

   Mar 2024 — Present · Bengaluru, IN

   Architected and led development of multiple Agentic AI solutions to automate engineering workflows including PR intelligence, test generation, build orchestration, and autonomous error resolution. Designed a LangGraph-based multi-agent architecture with specialized Build, Test Generator, and Error Resolver agents, integrated with Redis, Celery, FastAPI, and LLM-driven reasoning pipelines to enable distributed, event-driven execution.Delivered an end-to-end AI-powered test generation platform capable of:Analyzing PR diffs and code contextLearning repository-specific coding patternsGenerating production-ready Go/Java test casesExecuting automated validations and build pipelinesPerforming failure analysis and auto-fixing testsRaising validated PRs autonomouslyImplemented a RAG-based knowledge retrieval system using curated order payloads, domain datasets, and valid-value repositories to improve test accuracy, contextual reasoning, and edge-case coverage.Lead backend automation engineering for AMX order-placement workflows using Java, Cucumber, Gherkin, RestAssured, and API-driven validation, covering complete order lifecycle scenarios across exchange-level integrations and risk validations.Strong focus on:Distributed system design & async workflowsLLM orchestration & agent collaboration patternsCI/CD and build pipeline automationScalable automation frameworksEngineering productivity platformsPassionate about building AI-first engineering ecosystems, scaling automation strategy, and enabling teams to move from manual validation to autonomous engineering execution.

Education

• Punjab Technical University

  Engineer’s Degree, Electrical, Electronics and Communications Engineering

  2011 — 2015