You will get an Intelligent Document Parsing and Automated Data Capture Pipelines

Jam Zamarrud I.Status: Offline
Jam Zamarrud I.

Let a pro handle the details

Buy Web Application Programming services from Jam Zamarrud, priced and ready to go.
Jam Zamarrud I.Status: Offline
Jam Zamarrud I.

Let a pro handle the details

Buy Web Application Programming services from Jam Zamarrud, priced and ready to go.

Project details

Are you wasting hours copying data out of digital invoices, financial spreadsheets, PDFs, or legacy text files? Manual data entry slows down your operations, causes typing mistakes, and bottlenecks your business workflows.

Leveraging over 20 years of mastery building optimized backend data layers and document capture platforms, I engineer custom, high-speed automated extraction engines that convert messy documents into clean, structured data records.

### 🛠️ What I Will Deliver:
 • **Multi-Format Extraction:** Custom parsers for native or scanned PDFs, legacy text layouts, CSV files, and complex Excel matrices.
 • **Intelligent Mapping Logic:** Smart identification algorithms to reliably pull recurring data like balances, dates, line items, and addresses, even when text shifts.
 • **High-Volume Automation:** Robust, multi-threaded worker services that monitor directories, cloud storage buckets, or mailboxes to instantly process incoming files the second they arrive.

Stop manual typing. Let's design an accurate, hands-free extraction pipeline for your enterprise.
Programming Languages
Python, ASP.NET, C#
Coding Expertise
Performance Optimization, Security, Design
What's included
Service Tiers Starter
$300
Standard
$1,250
Advanced
$3,200
Delivery Time 4 days 12 days 24 days
Number of Revisions
123
Design Customization
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Content Upload
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Responsive Design
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Source Code
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Frequently asked questions

Jam Zamarrud I.Status: Offline

About Jam Zamarrud

Jam Zamarrud I.Status: Offline
Jam Zamarrud Iqbal
Kastrup, Denmark - 2:33 pm local time
Senior .NET Backend Architect & Team Lead | Microservices | Full-Stack Capabilities | Cloud & AI Integration

With over 20 years of enterprise-level software engineering experience—including 11 years driving high-impact technical solutions in Copenhagen, Denmark—I specialize in architecting, developing, and optimizing high-performance distributed systems. As an expert Team Lead and Full-Stack Architect, my primary focus is building robust, low-latency .NET backend systems, seamlessly paired with modern, responsive frontends and AI automation.

My engineering philosophy centers around performance tuning, clean code, and memory-efficient system design. I bring a deep mastery of the .NET ecosystem alongside hands-on leadership experience guiding agile teams to deliver end-to-end, mission-critical software.

### Core Expertise
* Architecture & System Design: Microservices, Multi-tier (n-Tier) Architecture, Domain-Driven Design (DDD), Dependency Injection (Autofac/Unity), and SOLID principles.
* Backend & API Development: Advanced C# .NET, ASP.NET Core, RESTful APIs, gRPC, GraphQL, Web Services, and specialized asynchronous programming.
* Frontend & UI Engineering: Designing modern, responsive user interfaces using React.js, AngularJS, TypeScript, JavaScript, HTML5, CSS3, and .NET MAUI for cross-platform applications.
* Cloud & Messaging: MS Azure Cloud Services, Azure DevOps pipelines, Docker, Kubernetes, RabbitMQ, and Azure Service Bus.
* Data Mastery & Optimization: Expert-level query tuning and indexing across MS SQL Server, PostgreSQL, Oracle, and Redis Caching. Advanced handling of big data using MongoDB and NoSQL.
* AI & Automation: Seamless integration of Machine Learning (ML.NET, Azure ML), OpenAI API, and Natural Language Processing (NLP) models to automate complex business workflows.
* Engineering Leadership: Employee mentorship, code reviews, static code analysis (SonarQube), TDD/BDD practices, and technical consulting within Scrum, SAFe, and Kanban frameworks.

### Highlighted Project Successes & Accomplishments
* Renewable Energy Systems: Designed and sustained complex software applications for large-scale enterprise energy projects, collaborating across global, cross-functional engineering teams.
* High-Performance Infrastructure: Reconstructed high-speed data processors (such as low-latency order books) prioritizing rapid data structures and eliminating restrictive abstractions.
* Enterprise Automation: Successfully engineered a 26-module automation system and modernized core patent office workflows via localized IPAS implementations.

### Technical Stack & Tooling
* Languages: C#, TypeScript, JavaScript, Python, SQL, XML, JSON
* Backend Frameworks: .NET 8/Core, ASP.NET Core, Entity Framework Core, gRPC, GraphQL, REST, Web API, WCF, Node.js
* Frontend Libraries: React.js, AngularJS, Bootstrap, jQuery, AJAX, .NET MAUI, WPF
* Cloud & DevOps: MS Azure, Docker, Kubernetes, CI/CD (Azure Pipelines, Jenkins), Terraform, Git
* Databases & Caching: MS SQL Server, PostgreSQL, Oracle, MongoDB, Redis
* Message Queues: RabbitMQ, Azure Service Bus
* Testing & Quality: NUnit, xUnit, Moq, SonarQube

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### How We Can Collaborate:
1. Send an Invitation: Click the "Invite to Job" button on my profile with your project details.
2. Discovery Consultation: We will jump on a brief Zoom call via Upwork to discuss your architecture, blockers, and goals.
3. Execution Plan: I will deliver a clear roadmap, architectural strategy, or a proof-of-concept to get your project moving immediately.

Click "Invite" above to discuss your project and get your applications performing at their absolute peak.

Steps for completing your project

After purchasing the project, send requirements so Jam Zamarrud can start the project.

Delivery time starts when Jam Zamarrud receives requirements from you.

Jam Zamarrud works on your project following the steps below.

Revisions may occur after the delivery date.

Document Analysis & Token Mapping

I thoroughly inspect your sample documents to locate text anchors and structural patterns. I design custom expression sets and structural tokens to guarantee precise text targeting regardless of data length variability.

Core Extraction Engine Build

I program the main parsing application layer in .NET Core or Python. I implement heavy file streams, memory-optimized Excel cells reading protocols, and PDF text layer extraction utilities to process data without bogging down system RAM.

Review the work, release payment, and leave feedback to Jam Zamarrud.