ROUNIT RANJAN SINHA

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Summary

SDE I at Appscrip building performant AI-first products.
Built agentic CRM workflows, no-code automation engines, and production chat systems.
Shipping products like MyFitRiwaaz, Chrysalis AI, kiwiAi, and DevWell.

Bengaluru, India • +91 87893 57521 • rounitrsinha@gmail.com

Languages

JavaScriptTypeScriptPython

Libraries & Frameworks

ReactNext.jsStencilJSStorybookJSThree.jsFastAPI

Tools & Platforms

ReduxMUITailwind CSSTanstack QueryCoolifyRailwaySupabasePostmanStrapiMQTTApexChartsEmbeddableGroqRedisCeleryResendStripeCursor AI

Improved frontend performance by optimizing SSR/CSR rendering, lazy loading components, parallelizing API requests, and reducing bundle size — cutting initial render time from ~250ms to ~20ms (~92% reduction) while improving Core Web Vitals scores.
Built the drag-and-drop email template builder for HouseOfApps' marketing dashboard — a lightweight, CRM-personalized email composer built on a custom simple CSS engine, shipped to production.
Spearheaded the development of an RBAC-driven Agentic CRM, architecting workflow orchestration systems that enable businesses to create custom automations, integrate AI agents, and manage end-to-end firm operations using Next.js, TypeScript.
Built a flexible no-code/low-code AI workflow engine, enabling users to design complex workflows, orchestrate AI agents, automate CRM actions, and execute business processes through dynamic workflow composition and event-driven automation.
Architected a scalable, LLM-powered chatbot platform for STIHL (a manufacturing company) with modular widget-based UI, dynamic sidebars, and RBAC-driven granular permissions for secure, customisable user experiences using NextJS.

Next.js, Python, PostgreSQL (Supabase), Redis, Stripe, Resend, FedEx API, Railway

Built the platform end-to-end (frontend + backend) as a multi-vendor marketplace where a single user can also onboard as a vendor, listing and managing products alongside their own purchases.
Designed and implemented the vendor payments system — a super-admin-managed settlement flow that processes and disburses payouts to vendors — integrating Stripe for payments, FedEx API for delivery logistics, and Resend for transactional emails.
Diagnosed and fixed a critical API latency issue (initial response times of ~11s) by co-locating the Railway deployment and Supabase database in the same region (Singapore) and replacing per-request DB connections with a persistent connection pool.
Implemented a Redis cache-aside strategy to eliminate stale-cache issues while keeping read-heavy endpoints fast.

Next.js, TypeScript, FastAPI, Supabase, Redis, Celery

Developing Chrysalis AI, a B2B SaaS platform that enables fashion startup founders to generate hyper-realistic, multi-angle product photos without a physical photoshoot.
Users can sketch or upload garment designs and configure a digital model's parameters to instantly render production-ready images.

Next.js, TypeScript, Prisma, Supabase, Groq

An AI-powered tool that automatically analyzes React codebases, visualizes component relationships, and generates documentation using the Groq LLM.

JavaScript, Chrome Extension APIs

A Chrome extension designed to prioritise the well-being of developers with exercise guidance, water reminders, and accurate active time tracking.