Software Engineer | Full-Stack Development | AI Engineering | Distributed Systems
Building scalable SaaS platforms, intelligent applications, and reliable cloud-native systems.
LinkedIn • GitHub • Email • Freelance
I'm a Software Engineer focused on building scalable, secure, and production-oriented applications, with interests in AI Engineering, Backend Architecture, Distributed Systems, and Cloud Computing.
My experience spans the software development lifecycle, including system architecture, database design, API development, frontend engineering, authentication, automated testing, and cloud deployment.
I particularly enjoy working on engineering challenges involving:
- Full-Stack SaaS Engineering — Building modern applications with TypeScript, React, Next.js, Node.js, and PostgreSQL.
- Backend & Distributed Systems — Designing APIs, background processing, asynchronous workflows, and scalable services.
- AI & LLM Applications — Developing intelligent assistants, voice agents, semantic search, and AI-powered workflows.
- Security & Reliability — Implementing authentication, authorization, multi-tenant architecture, testing, and production-readiness improvements.
- Cloud & DevOps — Deploying and maintaining applications using Docker, AWS, CI/CD, and cloud infrastructure.
My goal is to build software that solves meaningful problems while remaining maintainable, reliable, and scalable.
September 2026 – Present
Project: TrackRoster | Multi-Tenant SaaS Platform
Working on the development and deployment of TrackRoster, a multi-role SaaS platform for managing prospecting workflows, organizational operations, and team collaboration.
Engineering responsibilities:
- Developing full-stack features with Next.js, React, TypeScript, NestJS, and PostgreSQL.
- Building and integrating REST APIs across frontend and backend services.
- Working on multi-tenant data architecture, role-based access control, authentication, and user invitations.
- Implementing secure workflows using JWT authentication, refresh tokens, and MFA-related functionality.
- Developing background processing and asynchronous workflows using Redis and worker services.
- Working with database migrations, schema design, validation, and data integrity.
- Integrating cloud-based services for application hosting, file storage, and transactional communication.
- Improving application reliability through backend auditing, error handling, frontend validation, and automated tests.
- Working with Vercel and Render for cloud deployment and environment configuration.
Technical environment: Next.js, React, TypeScript, NestJS, PostgreSQL, Redis, Drizzle ORM, Docker, REST APIs, Vercel, Render.
Python • TypeScript • JavaScript • Java • Rust • SQL
Node.js • NestJS • Express.js • FastAPI • REST APIs • API Design • JWT • OAuth2 • Role-Based Access Control • Multi-Tenant Architecture
React • Next.js • HTML5 • CSS3 • Tailwind CSS • Responsive UI • API Integration
OpenAI API • Google Gemini • Gemma • Vapi • Prompt Engineering • Retrieval-Augmented Generation (RAG) • Semantic Search • LLM Orchestration • Voice Agents
PostgreSQL • MySQL • MongoDB • pgvector • Redis • Drizzle ORM
AWS (EC2, S3, Lambda) • Docker • GitHub Actions • CI/CD • Vercel • Render
Jest • JUnit • Unit Testing • Integration Testing • TDD • API Testing • Git • GitHub • Swagger / OpenAPI • Agile / Scrum • Code Reviews
Professional Project | Intertrad | September 2026 – Present
A multi-role SaaS application supporting prospecting, workflow management, and team operations.
Key engineering areas:
- Multi-tenant backend architecture and tenant-aware data management.
- Role-based authorization, secure authentication, MFA, and invitation flows.
- RESTful API development with NestJS and TypeScript.
- Full-stack integration using Next.js and PostgreSQL.
- Redis-backed background processing and worker architecture.
- Cloud deployments, error handling, and production-readiness improvements.
Stack: Next.js, NestJS, TypeScript, PostgreSQL, Redis, Drizzle ORM, Docker.
Professional project — source repository not publicly linked.
Gemma 4 Google Hackathon Project
An offline-first AI-powered healthcare prototype designed to support clinical workflows when internet connectivity or hospital systems are unavailable.
Highlights:
- Developed an offline-first clinical support workflow using Gemma.
- Integrated semantic search using PostgreSQL and pgvector.
- Designed structured triage recommendations.
- Explored AI-assisted retrieval of relevant clinical information.
Core technologies: Gemma, Python, PostgreSQL, pgvector, LLMs.
An AI-powered voice interview platform designed to simulate interactive, recruiter-style interviews.
Highlights:
- Developed real-time voice-based interactions targeting sub-2-second response latency.
- Designed multi-turn LLM conversations for interview simulations.
- Implemented adaptive questioning based on conversational context.
- Incorporated session memory for more contextual interview experiences.
- Explored voice-based automation using LLM orchestration.
Core technologies: LLMs, Voice AI, APIs, Real-Time Communication.
An observability and incident-intelligence project focused on detecting anomalies and helping developers investigate system behavior.
Highlights:
- Designed streaming ingestion workflows for logs and telemetry.
- Developed architecture for real-time anomaly detection.
- Explored AI-assisted root cause analysis.
- Designed event-driven backend components for monitoring and alerting.
- Focused on scalable observability and incident-management workflows.
Core areas: Distributed Systems, Event-Driven Architecture, Observability, AI, Backend Engineering.
A backend engineering project exploring social networking functionality and API architecture.
Highlights:
- Designed REST APIs for user accounts, posts, and social relationships.
- Implemented JWT-based authentication using access and refresh tokens.
- Worked on database query optimization and backend structure.
- Applied modular design principles to support maintainable services.
A Rust project exploring memory-safe backend engineering and systems programming.
Highlights:
- Worked with Rust and the Axum ecosystem.
- Developed modular backend and utility components.
- Explored type safety, ownership, and asynchronous application design.
- Focused on reliable and maintainable Rust code.
Providing software development services to international clients.
Areas of work:
- Backend development using Node.js, Express.js, and FastAPI.
- REST API design and third-party integrations.
- Secure authentication and authorization.
- Cloud deployment and containerization.
- AI-powered automation and workflow development.
- Debugging, code improvements, and application maintenance.
I'm currently strengthening my expertise in:
- Production SaaS Engineering — Multi-tenancy, authorization, background workers, and application security.
- AI Engineering — LLM applications, RAG, voice agents, and intelligent automation.
- Distributed Systems — Asynchronous processing, event-driven systems, and scalable architectures.
- Cloud Architecture — AWS, containerization, CI/CD, and deployment reliability.
- Systems Programming — Rust, performance, concurrency, and memory safety.
I'm interested in collaborating on projects involving backend engineering, AI systems, SaaS platforms, and cloud-native software.
- LinkedIn: https://linkedin.com/in/zainsubhani-dev
- GitHub: https://github.com/zainsubhani
- Email: zainsubhanidev@gmail.com
- Freelance: https://www.fiverr.com/s/jjB85Wo
Build systems that scale. Write code that lasts.