Suhani Shah

About Suhani Shah

Senior Engineering Leader focused on transforming quality and performance engineering for large-scale IoT Control Center platforms in an AI-first world.Over the years, have led the shift from traditional, reactive testing to AI-driven, self-optimizing engineering systems. My work centers on embedding Generative AI, LLMs, RAG, and agentic workflows into the SDLC—enabling intelligent test generation, automated diagnostics, and data-driven decision-making.One of my key focus areas has been building AI-powered performance engineering platforms leveraging full-stack observability (Splunk, infrastructure, application, and database telemetry). These systems establish baselines, detect anomalies, Analyse failures—helping teams reduce MTTR and move toward proactive SLA management. AI-led test intelligence by integrating production and QA logs with code insights to map REST API coverage, identify gaps, and significantly improve test effectiveness.With a strong foundation in cloud-native and API-first automation (AWS, OpenShift), have designed scalable, tool-agnostic frameworks that reduced testing effort and infrastructure costs by ~50%, while enabling continuous performance validation in CI/CD pipelines.I am passionate about building and leading high-performing teams, aligning stakeholders, and driving engineering excellence across distributed systems. My experience spans banking, telecom, CRM, and e-commerce domains, with deep expertise in performance engineering, automation, and system reliability.Currently, I am focused on advancing AI agents and engineering assistants to move towards autonomous, self-healing platforms across development, testing, and operations.Core Strengths• AI-driven Engineering Transformation (GenAI, LLMs, RAG, Agentic Systems) • Performance Engineering & Observability • Cloud-native Architecture (AWS, OpenShift) • Test Automation & CI/CD Enablement • Stakeholder & Team Leadership • Data-driven Decision MakingRecognitionCisco: Multiple Connected Recognitions from ( 20••••26), You Amaze 3 (2021, 2022), You Accelerate 2 (2022)Barclays: Recognition, BRP, Stewardship, PitchIn Smartest Idea AwardsSears: Applause & Excellence AwardsAmdocs: Performance Awards (2008–2010)I’m always open to conversations around AI-driven engineering, performance optimization, and building next-generation autonomous systems.

Experience

1. Senior Leader Engineering

   Cisco

   Nov 2022 — Present · Bengaluru, IN

   Senior Engineering Leader driving the transformation of testing and performance engineering for large-scale IoT Control Center platforms in an AI-first world.Have been leading on the shift from traditional, reactive testing to AI-driven, self-optimizing engineering systems—embedding Generative AI, LLMs, RAG, and agentic workflows into the SDLC to enable intelligent test generation, automated diagnostics, and data-driven decision-making.Built and scaled an AI-powered performance engineering platform leveraging full-stack observability (Splunk, infra, app, DB telemetry) to establish dynamic baselines, detect anomalies in real time, and predict failures—significantly reducing MTTR and enabling proactive SLA management.Drove AI-led test intelligence by integrating production and QA logs with code insights (Augment AI) to map REST API coverage, uncover gaps, and improve test effectiveness.Strong focus on cloud-native (AWS, OpenShift) and API-first automation—delivering scalable, tool-agnostic frameworks that reduced testing effort and infrastructure costs by ~50%, while enabling continuous performance validation in CI/CD.Championing AI agents and engineering assistants to move towards autonomous, self-healing platforms across development, testing, and operations.Awarded with \'You Amaze 3\' Awards at Cisco 2021,Cisco 2022 • Awarded with \'You Accelerate 2\' awards at Cisco2022Multiple connected recognitions awards ‘Play to Win’ ‘Drive Durable Growth’ ‘Think really Big’ from 2022 to 2025

Education

• Mody Institute of Technology & Science, Sikar

  Master of Computer Applications - MCA, Master of computer Applications

  2006

Skills

• Unix
• Manual Testing
• Unix Shell Scripting
• Requirements Analysis
• Nmon
• Hp Quicktest Professional (Qtp)
• Weblogic
• Performance Engineering
• Jprofiler
• Testing
• Loadrunner
• Jmeter
• Performance Testing
• Oem Management
• Appdynamics
• Jira
• Websphere Application Server
• Qtp
• Agile Methodologies