About
Full Stack Developer with hands on experience building responsive, production grade web applications using React.js, Next.js, Node.js, and MongoDB. Skilled in REST API design, JWT secured authentication, and performance optimization (lazy loading, code splitting, SSR), including a 30% reduction in code duplication through reusable component architecture. Comfortable across the stack with working knowledge of Docker, AWS S3, and CI/CD pipelines, and experienced collaborating in Agile/Scrum teams using Git and Jira. Focused on writing clean, scalable code and shipping features efficiently.
Skills & Expertise (28)
Work Experience
Full Stack Developer
Last Minutes Deals
Oct 2025 - Apr 2026
Improved page load speed and overall application responsiveness by implementing lazy loading and performance optimization techniques, including code splitting, image and asset optimization, and memoization. Improved page load performance on production grade web applications by developing with Next.js and optimizing server side rendering and code splitting. Ensured compatibility across mobile, tablet, and desktop by building pixel perfect, fully responsive UI components with React.js and Material UI. Reduced integration time by streamlining Axios request patterns while integrating third party RESTful APIs and connecting frontend features to backend services and databases. Reduced code duplication across the application by approximately 30% by engineering and maintaining reusable React component libraries. Supported on time feature delivery across multiple release cycles by collaborating within an Agile team using Jira for sprint planning and bug tracking. Maintained code quality through Git and GitHub branching strategies, pull requests, and code reviews.
AI Training Data Annotator
Innodata Inc.
Feb 2025 - Aug 2025
Contributed to multimodal AI model training pipelines via structured data annotation, including image inpainting prompt generation for diffusion model fine-tuning. Performed RLHF preference annotation, evaluating and ranking model generated response pairs across accuracy, helpfulness, and safety to support LLM alignment workflows. Authored precise image reconstruction and object removal prompts, and extracted visual pattern prompts from clothing and texture images to support dataset diversity for generative models.
Education
MCA (Master of Computer Applications) - Sinhgad Institute of Management, Pune
2024 - 2026 ยท Afghanistan
BCS (Bachelor of Computer Science) - Jiajamata College of Science & Arts, Ahilyanagar
2021 - 2024 ยท Afghanistan
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Skills (28)
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