Devansh Singh

Results-driven Software Engineer with hands-on experience designing and delivering scalable full-stack, AI-powered, and real-time web applications. Proficient in React.js, Next.js, Node.js, PostgreSQL, WebSockets, WebRTC, and OpenAI API integrations. Demonstrated ability to reduce page-load times by 25%, architect RAG pipelines, and build low-latency communication systems.

Strong foundation in Data Structures & Algorithms, system design, RESTful API development, and agile workflows. Passionate about building performant, user-centric software solutions at scale.

Software Engineer Intern at Talentoza (2026-01 – Present)

• Developed scalable frontend modules for an AI-based Assessment Platform using Next.js and Tailwind CSS, improving responsiveness and reducing page load time by 25%.
• Integrated OpenAI APIs to build adaptive interview workflows with automated evaluation, AI-generated feedback, and intelligent candidate interaction systems.
• Implemented real-time video and audio interview functionality using WebRTC and WebSockets for seamless low-latency communication.
• Collaborated on API integration, debugging, responsive UI optimisation, and reusable component architecture for faster and maintainable development.
• Participated in production-level testing, deployment workflows, and frontend performance optimisation to ensure stable releases.

B.Tech in Computer Science & Engineering (Data Science) – ABES Engineering College (2021-01 – 2025-12)