Backend & Platform Engineer building operational systems, workflow orchestration platforms, and AI-powered automation infrastructure.
I enjoy designing systems where reliability, state management, observability, and real-world operability matter as much as feature development. My focus is on building production-grade backend platforms that solve operational problems at scale.
- Backend Architecture
- Distributed Systems
- Platform Engineering
- Workflow Orchestration
- Operational Tooling
- Reliability Engineering
- Observability Systems
- AI Infrastructure
- Stateful Systems
- Automation Platforms
- Reliability is a feature
- Idempotency over optimism
- Simplicity scales
- Operability matters
- Build systems, not scripts
- State transitions should be explicit
- Automation should be observable and explainable
- Correctness beats unnecessary complexity
Production-style student operations and cohort orchestration platform built using Next.js, TypeScript, Supabase, PostgreSQL, and service-oriented backend architecture.
Key capabilities:
- Enrollment lifecycle state machines
- Batch and session orchestration
- Zoom-integrated live learning workflows
- Role-based access control (RBAC)
- Audit logging and operational tooling
- Cron-driven automation pipelines
- Student roadmap and onboarding systems
- Multi-portal operational architecture
Focus: platform engineering • operational systems • backend architecture • workflow orchestration • scalable monolith design
Production-grade outreach automation and campaign sequencing platform designed for high-volume operational workflows.
Key capabilities:
- Scheduler-driven campaign sequencing
- Stateful workflow orchestration
- Autonomous follow-up systems
- Reply intelligence and suppression logic
- Analytics and operator tooling
- Reliability controls and observability workflows
- Email automation infrastructure
- Batch processing and delivery systems
Focus: workflow engines • distributed scheduling • automation infrastructure • backend systems
AI-powered job application intelligence platform built using Elixir/Phoenix, Gmail integrations, PostgreSQL, and automation workflows.
Key capabilities:
- Gmail synchronization and classification
- Interview/rejection detection workflows
- Analytics dashboards and tracking
- Application intelligence pipelines
- Reply-aware automation systems
- Operational monitoring and workflow orchestration
Focus: intelligent workflows • operational automation • backend systems • platform tooling
AI-powered resume intelligence and career mentorship platform built using FastAPI, Next.js, PostgreSQL, Supabase, and modern AI infrastructure.
Key capabilities:
- Resume intelligence workflows
- AI-powered career guidance
- Retrieval and vector-search systems
- LLM-integrated backend services
- Structured AI workflow orchestration
Focus: LLM systems • retrieval workflows • AI infrastructure • intelligent automation
Automated intelligence and monitoring platform designed for competitive research and signal tracking.
Key capabilities:
- Multi-source ingestion pipelines
- Scheduled intelligence workflows
- Filtering and deduplication systems
- Automated email reporting
- Signal monitoring and classification
Focus: automation • data pipelines • scheduled intelligence • monitoring systems
- Scheduler-driven systems
- Stateful workflow engines
- Observable backend services
- Event-oriented architectures
- Fault-tolerant operational software
- Internal tooling platforms
- Automation infrastructure
- AI-assisted operational systems
Python • TypeScript • JavaScript • Java • SQL • Elixir
FastAPI • Spring Boot • Node.js • Phoenix • Next.js
PostgreSQL • MySQL • Supabase • Drizzle ORM • pgvector
Docker • AWS • DigitalOcean • CI/CD • Cron Infrastructure
OpenAI • Retrieval Systems • Workflow Automation • OpenCV
Currently exploring:
- Distributed systems design
- Platform reliability engineering
- Workflow orchestration systems
- AI agents and autonomous workflows
- Systems architecture
- Event-driven backend systems
- Infrastructure observability
Exploring open-source contributions and writing around:
- backend architecture
- systems design
- workflow orchestration
- automation engineering
- reliability engineering
- operational software design
I’m interested in building software that survives real operational environments — systems that are observable, maintainable, fault-tolerant, and designed around actual workflows rather than demos.
https://habin-portfolio.vercel.app
https://linkedin.com/in/habinrahman
Design for scale. Build for reliability.