Full Stack Developer • AI • DevOps
_{Building scalable web apps, shipping AI-powered products, automating the path to production}

I build products, not just websites — and I own them end-to-end: from database schema to deployed infrastructure.

Over the last 3+ years, I've shipped full-stack applications across Healthcare, EdTech, Travel, E-commerce, and Fitness domains, increasingly built around AI/LLM features and deployed through automated CI/CD pipelines on AWS. My work is driven by real user needs, clean architecture, and systems that scale without babysitting.

Designing and shipping production web apps end-to-end — schema, API, UI, auth, payments.

• 🏥 Healthcare: secure patient management & appointment scheduling systems
• 🎓 EdTech: LMS platforms with progress tracking, student analytics, biometric attendance, HR/expense management
• 🚗 Travel/Booking: real-time availability systems with secure payment gateway integrations
• 🛒 E-commerce: scalable storefronts with complex state management and checkout flows
• 💪 Fitness: personalized workout tracking with interactive data visualization

Building AI features that ship inside real products — not demos.

• RAG chatbots built with LangChain for domain-grounded Q&A
• Multi-agent automation with LangGraph — e.g. AI sales agents that research leads and draft/send outreach autonomously
• Computer-vision OMR scanning engine for automated exam result processing
• Swappable-vendor architecture for AI providers, so models can be swapped without rewiring the app

Taking what I build to production, and keeping it running.

• CI/CD pipelines (GitHub Actions) deploying to both single-VM (Nginx + systemd) and serverless (Vercel) targets
• Multi-service Docker Compose stacks (web / API / worker / scheduler / DB / cache)
• Background job orchestration — Celery workers + beat scheduler across multiple task queues, idempotent processing with row-level locking
• AWS deployments with S3-compatible storage, Alembic migrations, org-scoped multi-tenancy
• Workflow automation via n8n/Zapier/Make for internal tooling

Codex Edumine — School / coaching-centre management platform

• Next.js, React 19, TypeScript frontend · FastAPI + SQLAlchemy 2.0 (async) + PostgreSQL backend
• Computer-vision OMR answer-sheet scanning engine for automated result processing
• Biometric attendance, academic/HR/student/expense management modules
• RBAC across 8 roles, audit logging, rate limiting
• CI/CD via GitHub Actions to a single VM (Nginx + systemd), with an alternate Vercel serverless deployment path

SalesPilot — Multi-tenant AI sales automation SaaS

• FastAPI + Next.js 15 with LangGraph-based AI agents for automated lead research and email generation/sending
• 6-service Docker Compose stack (web / api / worker / beat / PostgreSQL / Redis)
• Celery workers + beat scheduler orchestrating 11 task queues, idempotent job processing via row-level locking
• Append-only event table for auditability, org-scoped tenant isolation
• Deployed on AWS with S3-compatible storage, Alembic migrations, swappable-vendor architecture for AI/email/Stripe providers

Let's build something meaningful.

_{Full Stack · AI · DevOps}