Mamta Sharma

Associate Consultant

Delhi, India12 yrs 4 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Led a high-performing Testing Center of Excellence.
  • Implemented AI-driven QA processes to enhance software quality.
  • Reduced release cycles by 20% through automation.
Stackforce AI infers this person is a Quality Engineering leader specializing in AI-driven testing solutions for SaaS applications.

Contact

mamta.sharma@globallogic.comLinkedIn

Skills

Core Skills

Quality EngineeringAi In QaTeam LeadershipTest AutomationSoftware Testing

Other Skills

AI-Enabled Quality TransformationAI/ML Product Strategy & RoadmappingAWS CloudFormationAWS LambdaAgile MethodologiesAgile TestingAmazon EC2Amazon S3Amazon Web Services (AWS)Analytical SkillsAnsibleCCI/CDCI/CD integrationCloud Computing

About

I’m a Quality Engineering leader with 10+ years in software testing, specializing in AI-driven QA and running a high-performing Testing Center of Excellence (CoE). I help product and engineering teams release faster and safer by combining GenAI-assisted test design, self-healing automation, and CI/CD governance with clear stakeholder communication. What I do Lead the Testing CoE: define standards, templates, review gates, and tooling so every project ships with consistent quality. Scale AI in QA: use GenAI to accelerate test design, strengthen coverage, and auto-heal flaky suites; integrate results into pipelines and dashboards. Partner with stakeholders: align QA scope, risks, and release readiness with Product, Engineering, and Business leaders. Enable distributed teams: resolve day-to-day testing queries for engineers deployed across multiple projects; coach, unblock, and escalate early. Recognize performance: set fair, transparent reward and recognition criteria tied to outcomes (quality, speed, customer impact). Highlights Built/managed QA programs across multiple concurrent projects with clear SLAs and quality gates. Introduced AI-assisted test design and self-healing automation to reduce cycle time and improve reliability. Established dashboards for coverage, defect leakage, and risk to support data-driven go/no-go decisions. Drove continuous improvement through root-cause analysis, playbooks, and hands-on coaching. Strengths & Tools Test strategy & governance, risk-based testing, RTM Manual + Automation (Selenium WebDriver, BDD/Cucumber), API testing (Postman/RestAssured) CI/CD (Jenkins, GitHub/GitLab/Bitbucket), defect management (JIRA) Observability & reporting, stakeholder management, team enablement & rewards How I work Structured, transparent, and outcome-focused. I translate business goals into executable test assets, keep stakeholders aligned, and make quality measurable and repeatable across teams. Let’s connect Open to conversations on QA leadership, Testing CoE setup, and AI in testing. If you’re scaling quality across multiple projects, I’m happy to share playbooks and results.

Experience

12 yrs 4 mos
Total Experience
6 yrs 2 mos
Average Tenure
6 yrs 11 mos
Current Experience

Globallogic

Associate Consultant

Jul 2019 – Present · 6 yrs 11 mos · Noida, Uttar Pradesh, India · Hybrid

  • AI-Enabled Quality Transformation & Testing CoE
  • Owned the Testing Center of Excellence (CoE) across multiple squads; set standards, templates, review gates, and dashboards to make quality measurable and repeatable.
  • Identified high-value AI opportunities and shaped use cases aligned to product and business strategy; ran feasibility and ROI analyses with Product/Engineering.
  • Designed & executed end-to-end testing—functional, regression, performance, security—for LLM/GenAI solutions (chat, agent, classification, retrieval).
  • Human-in-the-loop (HITL) governance: reviewed and corrected bot-generated test cases & automation scripts, improved prompt quality, and pushed fixes back into libraries for continuous learning.
  • Prompt engineering & evaluation: authored/optimized LLM prompts, defined accuracy rubrics, and supported model fine-tuning and guardrails to reduce hallucinations.
  • RAG assurance: validated retrieval pipelines for precision/recall, latency, access controls, PII redaction, and fallback behaviors under load.
  • Standardized GenAI-driven QA processes (test design → review → automation → CI/CD → reporting), accelerating safe AI adoption across projects.
  • Stakeholder partnership: ran steering reviews with Product, Engineering, Security; aligned on risk, scope, and release readiness using KPI-driven dashboards (coverage, defect leakage, MTTR, model accuracy).
  • Team enablement: resolved day-to-day testing queries for engineers deployed across different projects, ran office hours/playbooks, and recognized performance via transparent reward criteria tied to delivery impact.
  • CI/CD integration: embedded suites (Selenium BDD, API, model eval tests) into pipelines (Jenkins/GitHub/GitLab) with quality gates and observability.
  • Tech & Methods:
  • Selenium WebDriver, Cucumber/BDD, Postman/RestAssured, Python/JS eval harnesses, Jenkins/GitHub/GitLab, JIRA, Docker (basics), Prompt engineering, RAG, Guardrails, ISO 29119 / IEEE 829, Risk-based testing, RTM, Observability.
AI-Enabled Quality TransformationTesting Center of ExcellenceGenAI-driven QA processesStakeholder partnershipCI/CD integrationQuality Engineering+1

Jangoo technologies private limited

Senior Software Engineer

Sep 2013 – Feb 2019 · 5 yrs 5 mos

  • Developed and automated Selenium test frameworks, reducing release cycles by 20%.
  • Converted business requirements into detailed test cases to enhance product reliability.
  • Performed system, regression, and integration testing across multiple releases.
  • Managed hardware-software integration and maintained build environments with SVN.
Selenium test frameworksSystem testingRegression testingIntegration testingTest AutomationSoftware Testing

Education

Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow

B.Tech — Computer Science

Jun 2003 – Jul 2007

Stackforce found 100+ more professionals with Quality Engineering & Ai In Qa

Explore similar profiles based on matching skills and experience

Priya Arora

Priya Arora

Senior Executive Talent Acquisition

at CloudKeeper

Delhi, India7 yrs 1 mo exp
Global Talent AcquisitionEmployer BrandingTalent AnalyticsPerformance ManagementTalent Sourcing
Armina Steiner

Armina Steiner

Senior Talent Aquisition Advisor

at Dynatrace

Austria3 yrs 7 mos exp
Talent AcquisitionStrategic RecruitmentLearning and DevelopmentCommunication Management
Mike Thacker-Cooke

Mike Thacker-Cooke

Director of Recruitment

at KDR Talent Solutions

Middlewich, United Kingdom13 yrs 11 mos exp
Data RecruitmentTechnology RecruitmentBusiness Intelligence RecruitmentData Management Recruitment
Deepak Gupta

Deepak Gupta

Talent Acquisition Group-Leadership Hiring (PAN India)

at EPAM Systems

Delhi, India16 yrs 3 mos exp
Talent AcquisitionLeadership Hiring
Mani Bhushan

Mani Bhushan

Engineering leader

at OrbitronAI.com

Bengaluru, India10 yrs 7 mos exp
System ArchitectureCross-functional Team LeadershipGeospatial DataGeospatial IntelligenceAmazon Web Services (AWS)
Francesca Tommolini

Francesca Tommolini

Talent Acquisition Manager

at Pragmatike

Turkey6 yrs 8 mos exp
Technical Talent AcquisitionStakeholder ManagementInternational RecruitmentTalent StrategySales Recruitment
Rebecca Lotus

Rebecca Lotus

Author & Speaker

at The Human Work

Steilacoom, United States16 yrs 9 mos exp
LeadershipWritingSoftware ManagementEngineering ManagementAPI Development
VK

Vivian Kang

North American Commercial Sales Manager

at Samsara

San Francisco, United States16 yrs 2 mos exp
Sales ManagementLeadershipNegotiationBusiness DevelopmentAccount Management