Mohammad Faizan
NIT Srinagar '29 · Full-stack & AI builder
Full-stack developer building production SaaS, AI systems, and cross-platform apps. I work across Next.js, TypeScript, PostgreSQL, Android, and applied AI—from link-in-bio platforms to multi-tenant decision engines and desktop tooling.
Most of my work sits at the intersection of full-stack web development, AI/ML, and systems that ship to real users. I care about auth flows, scalable data models, retrieval pipelines, and polished product experiences.
Outside shipped products, I explore embedded systems, computer vision, and hardware—always learning how software can model and improve real-world systems.
TypeScript
Kotlin
Java
Next.js
React
PostgreSQL
Tailwind CSS
AI / ML
Android
Figma
National Institute of Technology SrinagarNIT Srinagar
Bachelor of TechnologyBTech · Civil Engineering
Aug 2025 – July 2029
Srinagar, India
Next.js, TypeScript, React, PostgreSQL, Prisma, Stripe, FFmpeg, OpenAI APIs
- Developed an eCommerce platform using modern technologies and scalable backend architecture.
- Implemented secure payment processing workflows using Stripe, including checkout sessions, payment handling, subscription billing, order management, webhooks, and inventory management systems for scalability.
- Built automated product video generation pipelines using FFmpeg for marketing and product showcase content.
- Worked across frontend, backend, database design, API development, media processing, deployment workflows, performance optimization, and production infrastructure management in a scalable environment.
Unilink
LiveFull-Stack Link-in-Bio SaaS Platform
Next.js 16, React 19, TypeScript, Prisma, PostgreSQL, NextAuth v5
- Built a production-ready link in bio using Next.js App Router, Server Components, and Server Actions.
- Authentication with Google OAuth, credentials login, JWT sessions, email verification, and role-based access.
- Designed scalable Prisma/PostgreSQL schemas for profiles, analytics, links, and click tracking systems.
- Developed analytics pipelines using request headers, UAParser, and IP geolocation for regional insights.
- Integrated UploadThing, React Email, drag-and-drop sorting, interactive charts, and dynamic SEO metadata.
Curtain AI
LiveMulti-Tenant AI Support Decision Engine
TypeScript, Node.js, Express, Supabase, pgvector, OpenAI, MCP
- Built a multi-tenant AI decision engine enabling workspaces to define skills, triggers, escalation rules, and automated customer support workflows through scalable REST APIs.
- Designed and optimized a hybrid retrieval pipeline using OpenAI embeddings, pgvector similarity search, Jaccard overlap ranking, and Reciprocal Rank Fusion (RRF) scoring.
- Implemented structured AI decision selection with confidence scoring, escalation handling, and complete decision trace logging for debugging, analytics, and workflow analysis.
- Developed secure multi-tenant backend infrastructure with hashed API keys, protected routes, rate limiting, Helmet, CORS policies, and correlation-based request tracing.
- Exposed REST and MCP (JSON-RPC) interfaces with Python SDK support, enabling seamless AI agent orchestration and external backend service integrations.
SnapSense
LiveAI Screenshot & Visual Intelligence Utility
Electron, JavaScript, Groq/OpenAI APIs, IPC, Chromium Capture APIs
- Built a cross-platform Electron tray app for AI screenshot capture, OCR, and visual analysis workflows.
- Developed fullscreen region capture using desktopCapturer, desktop streams, and canvas-based crop selection.
- Designed a secure Electron architecture with preload contextBridge APIs and isolated renderer processes.
- Integrated Groq and OpenAI multimodal APIs to power screenshot-based AI chat, OCR text extraction, contextual image understanding, and advanced visual reasoning workflows.
- Implemented stealth/privacy mode, encrypted credentials, and installers for Windows, Linux, and macOS.