Sandeep Behl is a Full Stack and AI Engineer based in Pune, India, with 2+ years of experience building enterprise-grade, data-driven web applications. He specializes in React, Next.js, TypeScript, Node.js, Python, PostgreSQL, Docker, AWS, and Large Language Model (LLM) integrations. Sandeep architects scalable microservices, designs authentication systems (OAuth 2.0, JWT, RBAC), optimizes infrastructure (40–60% gains), and builds AI-powered platforms. Currently a Software Engineer at Zintlr.
I’m a Frontend-focused Full Stack Engineer with experience building production web applications using React.js, Next.js, TypeScript, and Node.js. I enjoy working on product-focused systems involving frontend architecture, authentication workflows, AI integrations, performance optimization, and developer tooling.
Worked on production web applications including CRM dashboards, authentication systems, browser extensions, admin panels, and internal tools using React.js, Next.js, TypeScript, Node.js, and NestJS. Built and improved JWT/OAuth2-based authentication flows with RBAC, token refresh handling, protected routes, and environment-based session management. Contributed to frontend modernization initiatives by migrating repositories from the legacy Next.js Page Router to the App Router while improving maintainability, reusable architecture patterns, caching strategies, and state management standards. Developed a Chrome Extension for LinkedIn-based workflow automation using background scripts, content scripts, and backend API integrations. Optimized Docker deployment configurations using multistage builds and lightweight production setups, while also contributing to testing workflows, code review practices, and engineering quality improvements across projects.
Immersing in the problem. Understanding the 'why' before touching any code.
Mapping systems, data flows, and edge cases. Blueprint before building.
Clean, modular, testable code. Shipping fast without compromising quality.
Pixel-perfect polish. Performance tuning. Making it exceptional.
Built an AI-based code repository explainer during the Hackblr hackathon.
Developed DeepSync, an AI-driven enrichment workflow tool using Perplexity APIs and internal data systems.
Reduced Docker image size through multistage builds and lightweight deployment configurations.
Reduced unnecessary API calls through improved caching and frontend data-fetching strategies.
Built an AI-powered mock interview platform supporting voice-based interview simulation and automated feedback workflows. Integrated LLM, speech-to-text, and text-to-speech APIs including Grok and Minimax for conversational interview experiences. Implemented Python backend workflows using Pipecat for AI orchestration and interview data handling.
Built a prompt management platform for organizing, categorizing, and reusing AI prompts across workflows. Developed responsive frontend interfaces, backend APIs, and structured prompt management systems with filtering and search capabilities.
Developed a responsive banking dashboard interface with account management, transaction workflows, and analytics-focused UI components. Improved frontend performance using reusable components and optimized state management.
Always open to meaningful conversations around technology, design, development, and building things on the internet.