Rashida Bawahir

CEO

Bengaluru, Karnataka, India26 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

20+ years in engineering leadership across multiple industries.
Proven track record in AI-driven automation and platform reliability.
Expert in building high-performing global engineering teams.

Stackforce AI infers this person is a seasoned Engineering Leader in Energy and Retail sectors with expertise in AI and automation.

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Skills

Core Skills

Engineering ManagementArtificial Intelligence (ai)Agile & Product DeliveryDevops Enablement & Ci/cdData & Analytics Adoption (business Value)Data AnalyticsDigital StrategyAgile MethodologiesCustomer & Market Requirements MappingSoftware Project ManagementSoftware Development Life Cycle (sdlc)

Other Skills

Product ManagementEnterprise Application IntegrationTechnology ManagementPlatform EngineeringObservability & Monitoring PracticesTest Automation StrategyDigital Transformation DeliveryEnterprise Integration (Mobility & Retail)Machine LearningDevOpsSupply Chain ManagementAgile Delivery LeadershipGlobal DeliveryProgrammingAnthropic Claude

About

Engineering Leader with 20+ years of experience building high-availability products and platforms, modernizing legacy ecosystems, and leading global engineering organizations across Energy (Oil and Gas), Retail, and Financial Services. Proven track record delivering large-scale platform reliability, AI-driven automation, and engineering productivity improvements while aligning technology investments with business growth and operational outcomes. Experienced in establishing capability centers, scaling distributed engineering teams, and transforming vendor-led delivery into high-performing in-house engineering organizations across multi-market ecosystems.

Experience

26 yrs 9 mos

Total Experience

4 yrs 5 mos

Average Tenure

10 yrs 2 mos

Current Experience

Shell

Information Data and Technology Senior Manager

Feb 2016 – Present · 10 yrs 2 mos · Bengaluru, Karnataka, India · Hybrid

Scope: $12.5M annual budget | $30M portfolio value (NPV) | 80-member global engineering team | Platforms operating across 12+ markets
Established centralized design and testing capabilities for Mobility Site Systems, transitioning from vendor-led to Shell internal Agile teams, improving cost efficiency and accelerating delivery velocity within the first year.
Led the scale and reliability of the Azure-hosted Site Integration Platform processing ~100M transactions per month across 23+ markets with 99.95% availability; built Azure Integration Services–based architecture, DevOps CI/CD pipelines, observability standards, and release governance, reducing deployment cycles from weeks to days.
Built centralized testing and automation capabilities, setting up device labs and device-cloud virtualization; led adoption of cognitive robotics and AI-assisted testing reducing hardware dependency by ~80% and achieving 60–80% automation of critical site operations and payment workflows.
Led platform strategy and delivery of real-time Engineering Analytics Cockpit for EV networks using OCPP and diagnostic telemetry, enabling predictive fault monitoring and remote resolution; reduced Time-to-Fix (TTF) by 70%, improving uptime by 50% and Customer Success Rate by 30%.
Led platform strategy and delivery of Wet Stock Management analytics and anomaly detection (WSM-A) built on event-driven Azure architecture, enabling automated stock reconciliation, leakage detection, and fraud alerts across multi-market fuel networks.
Led development of in-house AI-driven Fraud Management Portal on Azure/Databricks that operationalized autonomous fraud detection and decision agents, real-time card blocking, and escalation workflows, reducing 3-year TCO from $800K to $210K.
Led digitalization of $1.2B capital allocation for Site Network planning using Anaplan and scenario modeling engines; introduced ML-assisted decision optimizer improving allocation, transparency, and decision speed.

Product ManagementEnterprise Application IntegrationTechnology ManagementEngineering ManagementArtificial Intelligence (AI)

Tesco

Engineering Manager

Dec 2010 – Jan 2016 · 5 yrs 1 mo · Bangalore · On-site

Scope: 20+ workforce and retail applications | Deployment across 1800+ stores | 50+ engineering team across UK & India
Led modernization of HR and Payroll platforms across 1800+ Tesco stores in the UK, executed legacy migration with zero downtime and full data integrity.
Increased deployment throughput 13× (3 to 40 stores per release) and reduced test lifecycle time by 42% through regression automation and CI/CD pipelines (Jenkins, TFS, Nolio, SonarQube).
Improved customer satisfaction (NPS) by 76% by redesigning the release strategies for multi-location deployments and stabilizing rollout processes.
Reduced release cycles from quarterly to monthly by implementing Agile product delivery practices across engineering, QA, and product teams.
Delivered product enhancements including dynamic reporting (“Build Your Own Report”) and self-service HR tools, improving operational efficiency and user adoption across store operations.

DevOpsAgile MethodologiesEngineering ManagementData AnalyticsSupply Chain Management

Ibm india pvt ltd

Senior Project Manager

Oct 2003 – Dec 2010 · 7 yrs 2 mos · Bangalore

Role Summary:
Managed multi-geo technology delivery across India, the UK, and Brazil, supporting 24×7 operations and complex enterprise system transitions.
Key Contributions:
Directed 24×7 multi-country delivery teams, aligning engineering, business, and operations.
Led multiple enterprise integration and migration projects across regions.
Improved delivery stability and release management for distributed systems.
Collaborated with client teams to refine requirements and ensure smooth transition into BAU.

Software Project ManagementSoftware Development Life Cycle (SDLC)Global Delivery

Phoenix global solutions

Senior Software Engineer

Oct 2002 – Oct 2003 · 1 yr · Bangaon

I worked as a Module Lead for Regence group solution – The ID Card (IDC) system. I independently designed and developed it which involved extracting data needed to print an ID card when a request is send manually or automatically, ability to view the requests to validate the data to be printed, authorize and send the ID Card data to the Print Management System (PMS) for printing and receiving status of the requests send.

Software Development Life Cycle (SDLC)Programming