I'm a Computer Science graduate from FAST NUCES with hands-on experience across Frappe/ERPNext engineering, Python development, AI/GenAI, and Flutter.
My professional experience is now primarily focused on Frappe/ERPNext custom application development, where I work on business workflows, document automation, accounting and inventory processes, custom APIs, hooks, reports, client-side automation, integrations, and AI-assisted document processing.
Before moving into ERPNext development, I built a strong foundation in Python, Machine Learning, Generative AI, NLP, RAG systems, Transformers, and Flutter application development.
I enjoy working at the intersection of software engineering, business automation, and intelligent systems.
Worked across 15+ custom Frappe/ERPNext applications and automation modules, covering several business domains:
Procurement · Inventory · Sales · Accounting · Logistics · Commission · Document Automation · Reporting · Integrations
- Custom Frappe applications and DocTypes
- Python business logic and whitelisted APIs
- Frappe document lifecycle hooks and event-driven automation
- ERPNext workflow customization
- Client-side JavaScript and form automation
- Custom reports and financial reporting logic
- Purchase, sales, inventory and accounting automation
- Batch and stock ownership management
- Commission and counterparty invoice automation
- Landed Cost Voucher automation
- Logistics and delivery workflows
- Cross-document creation and synchronization
- Cross-site ERPNext document synchronization through REST APIs
- AI-assisted invoice and document processing
- Semantic + fuzzy entity matching
- Fixtures, custom fields and property setters
Invoice OCR
OCR-driven invoice and purchase document processing with PDF/image extraction, preprocessing, fuzzy matching, semantic matching and automated ERPNext document creation.
Consignment Management
Custom ownership, batch, stock, rent and financial workflows for supplier-owned inventory.
Commission Automation
Purchase and sales commission calculations with automated Purchase Invoice creation, adjustments and debit-note handling.
Landed Cost Automation
Automatic creation and reconciliation of Landed Cost Vouchers from Purchase Invoices with preservation of manual charge rows.
Custom Reporting
Customer, Supplier and Multi-Party General Ledger reports with draft-document visibility and accounting-aware filtering.
Cross-Site Synchronization
REST-based synchronization utilities for transferring selected ERPNext documents between sites.
Generative AI LLMs RAG NLP Transformers LSTMs Whisper BLIP-2 Embeddings Semantic Search Fuzzy Matching
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Professional work across custom ERPNext applications covering:
Focus: business logic, automation, integrations and ERP workflows. |
Academic and independent engineering work involving:
Focus: practical AI systems rather than notebook-only experiments. |
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Flutter · Firebase · Dart · REST APIs · Stripe Final Year Project — a cross-platform creator platform supporting:
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FAISS · BM25 · LLMs · MIMIC-IV-Ext · Gradio A retrieval-augmented generation system for clinical question answering, combining document retrieval with LLM-based response generation. |
FAISS · BM25 · BioMistral · Nous Hermes · MIMIC-IV-Ext
Built a clinical RAG pipeline using retrieval + LLM generation, with an interactive frontend and technical documentation.
Transformers · Seq2Seq · Hugging Face · Gradio
Developed Transformer-based systems for:
- Pseudocode ↔ C++ translation
- Arabic → English translation
LSTM · Deep Learning · Gradio
Trained an LSTM language model for Roman Urdu poetry generation and deployed an interactive demo.
Whisper · BLIP-2 · TTS
Combined speech recognition, image question answering and text-to-speech into a multimodal application.
Python · Whisper · Gradio · LLMs
Voice-enabled assistant for transcription, resume assistance and interview guidance.
Flutter · Dart · Firebase · REST APIs · Stripe
A full-stack creator-focused mobile platform featuring:
Authentication · Portfolio Management · Marketplace · Bookings · Messaging · Payments · Recommendations
The project gave me hands-on experience with cross-platform architecture, Firebase services, third-party integrations, responsive UI and scalable application structure.
I use technical writing to document projects, engineering decisions and lessons learned.
RAG · LLMs · NLP · Transformers · AI Applications · Flutter · Frappe/ERPNext
📝 Medium: https://medium.com/@asadsandhu
┌─────────────────────────────────────────────────────────────┐
│ │
│ ERP & Business Automation │
│ ├── Frappe / ERPNext custom applications │
│ ├── Workflow & document automation │
│ ├── Accounting & inventory automation │
│ └── ERP integrations & synchronization │
│ │
│ AI & Intelligent Systems │
│ ├── RAG pipelines │
│ ├── LLM applications │
│ ├── NLP / Transformers │
│ ├── Document intelligence │
│ └── Semantic & fuzzy matching │
│ │
│ Software Development │
│ ├── Python backend systems │
│ ├── JavaScript applications │
│ ├── Flutter mobile applications │
│ └── API-driven systems │
│ │
└─────────────────────────────────────────────────────────────┘
BS Computer Science FAST NUCES — CFD Campus, Faisalabad 2021 – 2025
Software Engineer
Frappe Developer
ERPNext Developer
Python Developer
ERP Developer
Backend Developer
Full-Stack Developer
AI Engineer
Generative AI
Machine Learning
LLM
RAG
NLP
Frappe Framework
ERPNext Customization
ERP Automation
Python
JavaScript
Flutter
Dart
REST APIs
MariaDB
Git
GitHub
I'm interested in opportunities and collaborations involving:
Frappe / ERPNext · Python · Backend Engineering · AI / GenAI · RAG · ERP Automation · Software Engineering
📧 Email • 💼 LinkedIn • 💻 GitHub • ✍️ Medium



