Portfolio 2026
Vaibhav
Khushalani
Full-Stack Engineer · AI Systems · System Design

Hi, I'm
Software Developer
Vaibhav
Khushalani
Building cinematic digital experiences with modern web technologies & AI.
Available for freelance & full-time opportunities.
Based in India
Available Worldwide

Vaibhav
Who I Am
Full Stack Engineer with 4+ years of experience building scalable web and AI powered systems using MERN, Next.js, and Python. Specialized in microservices, high performance APIs, and production ready architectures with a strong focus on scalability, performance, and clean system design. Experienced across the full stack from frontend architecture to backend systems, Redis caching, async processing, and AI platforms powered by FastAPI and LangChain.
Kylo Apps
Software Developer
- Built reusable React.js components and React Native features, reducing development time by 20% and improving UI performance across multiple modules.
- Improved frontend performance using lazy loading, memoization, and code splitting.
- Built and deployed full-stack MERN applications including dashboards, admin panels, and REST APIs.
Sellers Commerce
Full Stack Developer
- Led Catalog Sync, a high-throughput data pipeline automating product ingestion from FTP to Shopify, processing 100k+ SKUs per run and reducing manual effort 80%.
- Delivered microfrontend architecture via shared NPM packages across 5+ product teams, accelerating release cycles 30%.
- Boosted Core Web Vitals (LCP, CLS, FID) to passing thresholds using SSR, ISR, lazy loading, code splitting, and Redis caching.
- Designed RESTful APIs with Node.js; integrated Stripe payments, Shopify Storefront API, automated billing and onboarding workflows.
Hestabit Technologies
Full Stack Developer
- Architected AI-powered creator platform using Node.js, React.js & FastAPI; LLM agents simulate creator tone for automated Instagram DMs, boosting engagement 40%.
- Built scalable interview assessment platform with Node.js microservices and sandboxed multi-language code execution (C, C++, Java, Python).
- Implemented BullMQ + Redis queue system for async job processing, cutting API response latency 60%.
- Enforced platform security via JWT, RBAC, sandboxed execution environments, and real-time activity monitoring.
Forrester Research
Software Developer L3
- Developed AI-driven enterprise workflows using Python and React.js.
- Enhanced data pipelines and automation scripts to support research operations.
- Collaborated on building scalable backend services for analytics and content delivery.






