
Pratyush Shah
@pratyushshah
I build full-stack, multi-tenant applications, real-time systems, and RAG-powered AI products.
What I'm looking for
I've built production-oriented full-stack applications at Asynx Devs and itsunicorntech, spanning scalable monorepos, REST APIs, secure authentication, and multi-tenant features with organization-level isolation and role-based access control.
At itsunicorntech, I developed TradingTantra for real-time stock processing and 1,000+ simulated daily trades, using WebSockets for live candlestick charts and option-chain streaming. I also built TravelCRM with payment processing, Twilio WhatsApp automation, scheduled workflows, and optimized MongoDB queries through aggregation pipelines and indexing.
I'm also building RAG-powered conversational AI and SaaS products, including an enterprise AI chatbot with configurable LLM providers and Ping Panda, a Discord notification platform built with Next.js, TypeScript, PostgreSQL, and Prisma. I work hands-on across Docker, Kubernetes/K3s, GitHub Actions CI/CD, testing, debugging, and technical documentation.
Experience
Work history, roles, and key accomplishments
Full Stack Developer Intern
Asynx Devs Pvt Ltd
Apr 2026 - Present (5 months)
Develop reusable frontend modules with Next.js and backend services with NestJS within a scalable monorepo architecture. Design REST APIs, authentication workflows, dashboards, and third-party integrations for production-oriented applications.
Full Stack Developer Intern
itsunicorntech
Jun 2025 - Dec 2025 (6 months)
Developed TradingTantra using React, Node.js, Express, and MongoDB for real-time stock processing and 1,000+ simulated trades daily. Built TravelCRM using React, Tailwind CSS, and MongoDB with payment processing, Twilio WhatsApp automation, and scheduled workflows.
Education
Degrees, certifications, and relevant coursework
Madhyanchal Professional University
Bachelor of Technology, Computer Science & Engineering
2021 - 2025
Grade: 8.00/10.0
Pursued a Bachelor of Technology in Computer Science & Engineering, achieving a CGPA of 8.00/10.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Skills
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