Angshuman Ray — Associate Consultant
With 18+ years across Automation, Enterprise Systems, and Agentic QE specialist, I now specialise in engineering Agentic AI–driven Quality Ecosystems where autonomous systems design, validate, and secure themselves. Led and implemented DeepEval-based evaluation frameworks for Large Language Models (LLMs) and multi-agent AI systems, focusing on reliability, robustness, and production-grade validation. I currently build self-reasoning QE frameworks with Playwright, structured around SKILLS.md (capability mapping layer) and AGENTS.md (role-based agent orchestration layer) — enabling deterministic, reproducible, and auditable AI-driven automation. These systems are powered by Codex 3.5, Gemini 3 Pro Preview, Opus 4.5, Google Antigravity, VS Code + GitHub Copilot, and MCP server architectures. I architect multi-agent systems using CrewAI, AutoGen (Core + gRPC), LangGraph, and Claude MCP — creating workflows where agents plan, execute, evaluate, and self-correct with observability via Langfuse and Braintrust. My specialization extends into secure GraphRAG architectures, integrating Neo4j knowledge graphs with LLM reasoning to build relationship-aware AI systems that are explainable, context-rich, and enterprise-grade. Cybersecurity for me is AI-behavior governance: • Designing secure-by-design autonomous workflows • Implementing structured guardrails and reasoning validation layers • Preventing prompt injection and adversarial agent manipulation • Securing MCP-based orchestration and A2A communication • Embedding trust, traceability, and policy enforcement into LLM systems I bring deep Neo4j expertise from a QE perspective — validating traversal logic, graph integrity, semantic dependencies, and relationship correctness across large-scale healthcare and enterprise ecosystems. Core Focus: • Agentic AI & Multi-Agent Orchestration • Secure GraphRAG (Neo4j + LLMs) • Playwright MCP Automation (AI-Driven QE) • SKILLS.md & AGENTS.md Structured Agent Design • Enterprise LLM Guardrails & Observability • Autonomous Workflow Security Engineering I build AI systems that reason through relationships, validate their own execution, and defend against adversarial behavior.
Stackforce AI infers this person is a Cybersecurity and AI Automation expert with a focus on enterprise solutions.
Location: Kolkata, West Bengal, India
Experience: 18 yrs 10 mos
Skills
- Agentic Ai
- Playwright Mcp Automation
- Playwright Automation
- Cybersecurity Governance
- Automation Architecture
- Automation Engineering
- Performance Testing
Career Highlights
- Expert in building AI-driven Quality Ecosystems.
- Specialized in secure GraphRAG architectures.
- Proven track record in Cybersecurity governance.
Work Experience
Wipro
Senior Technical Consultant (2 yrs 11 mos)
Playwright/Cypress Automation and graph database Consultant (1 yr 6 mos)
Cyber Security Consultant (3 yrs 7 mos)
Quantum Inventions (QI)
Automation Lead (2 yrs 6 mos)
Lexmark International, Inc.
Senior Software Engineer Technical Lead (1 yr)
Cognizant Technology Solutions
Automation and Data Engineer (2 yrs 10 mos)
Tata Consultancy Services
Automation Lead (1 yr 4 mos)
Synerzip
QA (1 yr 4 mos)
Tech Mahindra
Performance Engineer (1 yr 10 mos)
Education
B.Tech at West Bengal University of Technology, Kolkata
at Xavier's English School