Satyam Rout

Software Engineer Iii @LexisNexis Risk Solutions

Gurugram, IN

QA Anomaly Dashboard: Harnesses advanced AI and machine learning algorithms to proactively detect irregularities in test execution patterns. By leveraging predictive analytics and intelligent anomaly detection models, it minimizes manual oversight and accelerates root-cause analysis. The platform integrates seamlessly with Power BI to deliver dynamic, AI-driven visualizations and generates automated, data-rich reports for stakeholders, ensuring faster decision-making and improved software quality.2. Secure AI Agent: It is a VS Code extension that detects hardcoded secrets like API keys, tokens, credentials, and PII. It uses AI for risk assessment, entropy analysis to reduce false positives, and intelligent recommendations. Features include inline fixes, best-practice guidance, security dashboards, severity-based reporting, and Azure OpenAI integration with Copilot fallback.3. MCP(Model Context Protocal) POC:A proof-of-concept showcasing automated test generation with Python Playwright, Azure OpenAI, and Model Context Protocol (MCP). It converts user prompts into structured test specifications, generates Playwright scripts, and executes them with detailed results—demonstrating an AI-driven, end-to-end workflow for intelligent, automated testing.4. CRS:An In-house ML-driven analytics platform that processes JSON results, classifies errors using machine learning, and generates interactive dashboards. It supports multiple frameworks, multi-directory inputs, and detailed Excel reports. Available as a standalone Python app or GitHub Action, offering responsive, data-rich insights for smarter, automated quality analysis.

ODM Public School

CBSE 11+2

SRM University

B-Tech

St. Xavier's High School - India

CBSE 10th