I am a Full Stack Software Engineer with 2+ years of production experience specializing in high-performance web applications, secure backend architecture, and intelligent automation. My engineering philosophy revolves around writing clean, scalable code and solving critical business bottlenecks through custom system design.
Beyond traditional MERN and Next.js stacks, I engineer custom Python-based LLM automation pipelines that drastically reduce operational latency. I thrive in product-engineering environments where execution speed, data security, and elegant architecture are paramount.
Open To: Full Stack Developer, Backend Engineer, and AI Integration roles (Remote / Relocation to Bangalore/Indore).
| Domain | Proficiency | Details |
|---|---|---|
| LLM Automation | Advanced | Engineered multi-step prompt execution engines using Python to automate 120+ complex corporate reports, reducing multi-week bottlenecks to a single day. |
| LangChain / RAG | Intermediate | Building context-aware intelligent applications using Retrieval-Augmented Generation to query proprietary database vectors and unstructured data. |
| Workflow Tooling | Advanced | API-driven automation integrating n8n, Make, Zapier, and custom Webhooks. |
| Data Engineering | Intermediate | Data QA, JSON/CSV parsing, matrix mapping, and spreadsheet formatting using Python automation libraries. |
▸ 1. Python LLM Automation Engine
A custom-built artificial intelligence pipeline designed to eradicate manual data-entry bottlenecks for enterprise reporting.
| Stack | Scale | Performance | Security | Impact | Repository |
|---|---|---|---|---|---|
Python, LLM APIs, Pandas |
120+ Reports | 98% Time Reduction | Token Encryption | Saved 3 weeks of manual labor | View Repo |
Engineering Details: Architected a multi-step Python engine that handles recursive prompt execution, automated data QA validation, and structured spreadsheet generation. The system interprets raw, unstructured corporate data and securely compiles it into client-ready formats without human intervention.
▸ 2. Hardware-Bound DRM Auth System
A high-security, hardware-locked Digital Rights Management system built for proprietary B2B software distribution.
| Stack | Scale | Performance | Security | Impact | Repository |
|---|---|---|---|---|---|
Node.js, Express, MongoDB |
500+ Clients | Sub-50ms Auth | AES-256 / HWID | Zero Piracy Rate | View Repo |
Engineering Details: Engineered a custom licensing API that binds software access to specific physical machine hardware IDs (HWID). Implemented secure token refresh rotation, active session invalidation, and automated payload encryption to prevent reverse engineering and unauthorized distribution.
▸ 3. Enterprise B2B SaaS Platform
A scalable Full-Stack MERN application with a granular Role-Based Access Control (RBAC) architecture.
| Stack | Scale | Performance | Security | Impact | Repository |
|---|---|---|---|---|---|
React, Node, JWT, NoSQL |
10k+ Records | Optimized Queries | JWT / CSRF Prot. | Streamlined Ops | View Repo |
Engineering Details: Developed secure REST APIs utilizing JSON Web Tokens and HTTP-only cookies for session persistence. Modeled highly normalized MongoDB schemas with indexing strategies that reduced complex query execution time. Built the dynamic frontend architecture with Next.js for SSR optimizations.
Jan 2024 – Present
Engineered mission-critical web applications and backend architectures for diverse B2B clients, prioritizing security, scalability, and workflow automation.
- Backend Architecture: Designed and deployed secure REST APIs using Node.js/Express, integrating deeply optimized MongoDB schemas and multi-layer JWT authentication.
- AI Automation Pipeline: Single-handedly conceptualized and deployed a Python LLM automation script that processed complex datasets into 120+ reports, transforming a 3-week operational delay into a 1-day automated task.
- Frontend Performance: Built responsive, client-facing interfaces using React and Next.js, implementing strict state management and component modularity.
- Infrastructure: Managed seamless API integrations, secure webhooks, and deployment pipelines across cloud environments.
Node.js Next.js Python MongoDB REST APIs Workflow Automation
| Recognition | Details |
|---|---|
| 🏆 Top Performer | Recognized for engineering velocity by clearing major corporate reporting bottlenecks via custom Python logic. |
| 🚀 Production Deployments | Successfully shipped multiple full-stack applications serving active B2B clients with zero downtime. |
| 🧠 Hackathon Finalist | Demonstrated rapid prototyping and problem-solving skills in competitive local developer cohorts. |
user: Zeeshan Khan
status: "Compiling..."
learning:
- Advanced Golang Microservices
- Deep Learning Frameworks
building:
- Next.js Edge APIs
- Enterprise Workflow Automations
exploring:
- Web3 Architecture
- Vector Databases (Pinecone, Chroma)
open_to:
- Full Stack Developer Roles
- Backend/AI Engineering Positions
- Open Source Collaborations