I am a software engineer focused on building practical, high-impact digital products — from secure backend systems and full-stack web applications to AI-driven automation workflows that reduce operational bottlenecks.
With a strong foundation in product engineering, system design, and workflow automation, I enjoy solving real business problems with clean architecture, reliable infrastructure, and scalable code.
My work bridges engineering and automation: I build APIs, dashboards, business workflows, and AI-assisted pipelines that make teams faster and systems smarter.
Currently working across full-stack engineering, backend architecture, and AI automation with a focus on performance, reliability, and measurable business impact.
| Domain | Focus | Notes |
|---|---|---|
| LLM Automation | Advanced | Multi-step prompt orchestration, workflow automation, and enterprise report generation. |
| RAG / Contextual AI | Intermediate | Building AI systems that ground responses using proprietary data and structured context. |
| Workflow Engineering | Advanced | API-driven automation with n8n, Make, Zapier, and custom webhook pipelines. |
| Data Processing | Intermediate | Python-based QA, parsing, cleanup, transformation, and spreadsheet generation for operational workflows. |
| Product AI Integration | Advanced | Embedding AI into business processes without sacrificing reliability or speed. |
▸ 1. Python LLM Automation Engine
Built a custom AI-powered workflow engine to automate repetitive reporting and operational tasks that previously required large manual effort.
| Stack | Scope | Outcome |
|---|---|---|
Python, LLM APIs, Pandas |
120+ report workflows | Reduced multi-week bottlenecks to a single-day process |
Highlights: Recursive prompt execution, validation layers, structured data extraction, and automated output generation for business reporting.
▸ 2. Hardware-Bound DRM Authentication
Designed a secure licensing and access-control system for proprietary software distribution with hardware-level validation.
| Stack | Scope | Outcome |
|---|---|---|
Node.js, Express, MongoDB |
500+ client installs | Secure access control with high trust and low piracy risk |
Highlights: HWID-based checks, token rotation, session invalidation, and resilient authentication flows.
▸ 3. Enterprise SaaS Platform
Developed a scalable B2B web application with RBAC and secure API patterns for real-world operations.
| Stack | Scope | Outcome |
|---|---|---|
React, Node.js, MongoDB, JWT |
Multi-role enterprise workflows | Faster internal ops with stronger access control |
Highlights: Secure REST APIs, session persistence, normalized schemas, and optimized query patterns.
Jan 2024 – Present
Working across product delivery, backend systems, and workflow automation for client-facing B2B applications.
- Built secure and scalable backend services using modern JavaScript/TypeScript and Node.js ecosystems.
- Designed AI-assisted automation pipelines to reduce repetitive business workloads and accelerate reporting.
- Developed responsive frontend experiences using React and Next.js for enterprise-facing tools.
- Managed integrations, deployment workflows, and system reliability in production environments.
Node.js Next.js React Python MongoDB REST APIs Automation
| Recognition | Details |
|---|---|
| 🏆 Top Performer | Delivered impactful engineering solutions that removed operational bottlenecks and improved business velocity. |
| 🚀 Production Delivery | Shipped multiple client-facing systems with focus on stability, security, and maintainability. |
| 🧠 Problem Solving | Strong track record in rapid prototyping, automation, and engineering execution. |
| 🤝 Product Mindset | Works closely between engineering and real-world business needs to ship useful systems. |
user: Zeeshan Khan
status: "Building products with code and automation"
learning:
- Go backend systems and microservice patterns
- Advanced AI workflow orchestration
- Cloud-native architecture and deployment design
building:
- Next.js product interfaces
- AI-powered internal automation systems
- Scalable API and backend infrastructures
exploring:
- Agentic workflows
- Vector databases and retrieval systems
- High-performance distributed systems
open_to:
- Full Stack Developer roles
- Backend / Platform Engineering roles
- AI Product and Automation opportunities


