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Software Development Engineer with less than a year in Full-Stack, AI, and DevOps
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Anubhav Singh is a driven Software Development Engineer with 9 months of experience in building scalable full-stack and cross-platform applications. Proficient in Next.js, React, Node.js, and React Native, with a strong background in AI-powered solutions, REST API development, and database management using PostgreSQL and Prisma. Experienced in agile environments, CI/CD pipelines, and optimizing application performance and reliability.
Bihar Engineering University
Bachelor of Technology (B.Tech.) · Computer Science and Engineering
December 1, 2021 – August 1, 2025
UniVisory
Software Engineer - Platform & AI Systems
January 1, 2026 – Present
India
Veshro Technology Solutions Pvt. Ltd.
Software Development Engineer
September 1, 2025 – December 1, 2025
India
BridgePay
June 1, 2026 – Present
Developed a simulated banking platform supporting wallet top-ups, peer-to-peer transfers, and transaction history. Designed responsive UI inspired by real-world banking interfaces (HDFC/Axis) for intuitive user experience. Architected a monorepo using Turborepo and containerized services with Docker. Implemented CI/CD pipelines on AWS EC2, automating deployments and reducing deployment time by 40%.
View ProjectLoanDashboard AI
June 1, 2026 – Present
Engineered an AI-powered full-stack application using RAG architecture to improve response accuracy. Developed high-performance backend services handling complex business logic across 100+ entities. Built accessible, responsive UI with Tailwind CSS and Shadcn/UI for seamless data visualization. Implemented end-to-end type safety using TypeScript and Zod, reducing runtime errors by 90%.
View ProjectBuild.new
June 1, 2026 – Present
Designed and deployed a full-stack AI website generation platform converting natural-language prompts into frontend code. Refactored a traditional Express backend into a Vercel-compatible serverless architecture, ensuring reliable runtime. Integrated Groq LLM workflows to generate project templates and code artifacts with robust error handling. Built a production-ready React frontend with environment-based configuration and clean API abstractions.
View ProjectCultural Fit Analysis
The candidate's diverse personal projects (AI website generation, banking platform, AI dashboard) showcase initiative, a strong learning aptitude, and a willingness to explore various domains. The use of modern technologies and agile methodologies aligns well with a dynamic, fast-paced engineering culture. The candidate's experience, though limited in duration, shows a consistent focus on full-stack development and deployment, indicating a good fit for a Software Development Engineer role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to collaborate in agile environments, conduct code reviews, and maintain production-ready code. The focus on optimizing build pipelines and performance suggests an operational mindset. However, without direct assessment data, these are inferred from project and experience descriptions.