Sk Saffiulla

Software Engineer

Odisha, India0 mo experience

Key Highlights

Expert in building scalable web applications.
Strong foundation in Data Structures & Algorithms.
Proven track record in optimizing system performance.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and cloud infrastructure.

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Skills

Core Skills

Backend DevelopmentDevopsFrontend DevelopmentWeb Application DevelopmentCloud Infrastructure

Other Skills

Azure Kubernetes Service (AKS)Cascading Style Sheets (CSS)Computer NetworkingContinuous Delivery (CD)Continuous Integration (CI)Database Management System (DBMS)GatlingGitHub ActionsHTML5JavaKubernetesMUIMongoDBNext.jsObject-Oriented Programming (OOP)

Experience

Gap inc.

Software Engineer

Nov 2025 – Present · 4 mos · Hyderabad, Telangana, India · Hybrid

Spring BootAzure Kubernetes Service (AKS)GitHub ActionsBackend DevelopmentDevOps

Leap

Engineering Intern

Aug 2025 – Oct 2025 · 2 mos · Bengaluru, Karnataka, India · On-site

Developed the frontend for a chatbot response-tracking application using Next.js, React-Redux, MUI, and TailwindCSS, helping counsellors evaluate AI chatbot outputs efficiently.
Optimized website performance with lazy loading, SSR, and image optimization, improving PageSpeed from 71 → 92 and reducing load times significantly.
Migrated two large-scale frontend codebases (500+ files each) from JavaScript to TypeScript, improving maintainability and developer productivity.
Gained hands-on experience in building high-performance web applications with a focus on scalability, code quality, and user experience.

Next.jsReact-ReduxMUITailwindCSSFrontend DevelopmentWeb Application Development

Gap inc.

Software Engineer Intern

Jan 2025 – Jul 2025 · 6 mos · Hyderabad, Telangana, India · On-site

Optimized the performance of a critical microservice, leading to improved system efficiency and faster response times.
Automated pod scaling on the Kubernetes cluster, eliminating manual intervention and boosting deployment scalability.
Achieved a 50% reduction in pod usage through autoscaling, resulting in substantial cost savings for the company.
Enhanced infrastructure reliability by integrating dynamic scaling solutions aligned with workload demands.
Gained hands-on experience with cloud-native technologies, performance tuning, and automation best practices.

KubernetesSpring BootPerformance TuningBackend DevelopmentCloud Infrastructure