Freelance Data Engineers in Lahore
Freelance Data Engineers in Lahore
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Toolshed (Data, Automation, AI Agents, Framer, Retool)
max
Lahore, Pakistan
Data, Automation, AI Agents, Framer, Retool, Bubble
$50k+
Earned
5x
Hired
5.0
Rating
45
Followers
Top
expert
+1
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Data, Automation, AI Agents, Framer, Retool, Bubble
3
Development of Financial Management Platform for Vergo
3
204
0
Financial & Usage Analytics for YC-backed healthcare startup
0
0
1
Streamlining Operations for House of Sylas
1
13
0
AI Agent Development & Workflow Automation for Kelly Brogan MD
0
17
Data Engineer
(3)
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Umaima Iqbal
Lahore, Pakistan
I build offline AI tools that make documents talk.
New to Contra
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I build offline AI tools that make documents talk.
1
AuraExtract — Intelligent Invoice & Receipt Data Extractor The extraction engine uses intelligent regex pattern matching that handles real-world invoice layouts — column-per-line PDF formats, inline tabular formats, and plain text documents. It detects 10 fields automatically and parses up to 20 line items per invoice. Supports PDF, TXT, and DOCX formats. Includes a raw text preview panel so users can verify exactly what the engine is reading. CSV export includes both the summary fields and full line items table — ready to open directly in Excel. Pure Python. Zero external dependencies beyond pypdf for PDF reading.
1
86
2
AuraSort scans any folder and automatically sorts files into named subfolders by type — Documents, Images, Videos, Audio, Code, Archives, and more. Files are renamed to clean, consistent lowercase format. Every operation is logged live on screen as it happens. Built with a Dry Run mode so users can preview exactly what will move before anything is touched. Full undo restores every file to its original location with one click. An HTML report is generated after each sort showing every file moved, every category created, and total time taken. Pure Python. Zero external libraries. Works on any machine without installation.
2
108
1
A fully offline document summarizer built in pure Python. Uses TF-IDF scoring, position weighting, and Jaccard deduplication to extract the most important sentences from any PDF, DOCX, or TXT file — each labeled with a relevance percentage. The result looks like this: [1] [100% relevance] The algorithm achieved 94% accuracy on benchmark tests. [2] [81% relevance] Training was performed on 50,000 labeled samples. [3] [67% relevance] Results were validated using 5-fold cross validation. Supports PDF, Word, and TXT files. Saves summaries to your computer. Runs completely offline. No subscriptions, no API keys, no internet required.
1
108
1
Built AuraChat v3.0 — a fully offline Document Intelligence desktop app in pure Python. Users upload any PDF, Word, or TXT file and ask questions in plain English. The system returns cited answers with confidence scores instantly. Technical highlights: — Custom NLP engine using TF-IDF scoring + hybrid token overlap analysis — 1,700× faster indexing than baseline on 500-page documents — Multi-threaded processing — UI never freezes during heavy indexing — Supports PDF, DOCX, and TXT file formats — Zero external APIs — runs completely offline on the user's machine — 23 production-grade bugs identified and resolved before delivery This is not a demo. This is production-ready software built with clean architecture, full error handling, keyboard shortcuts, chat export, source citations, and confidence indicators
1
123
Data Engineer
(1)
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Shahroz Naeem
Lahore, Pakistan
Data Visualization & Operations Expert 📊
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Data Visualization & Operations Expert 📊
0
Case Study: Building Pipelines & Visualizations for Insights
0
4
0
Automating Workflows with No-Code Solutions using Power Platform
0
4
0
Case Study: Replacing SAAS Solution for over $50k Annual Savings
0
16
0
Case Study: Built a Support Team & Process from Scratch
0
11
Data Engineer
(1)
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Afaq Ahmed
Lahore, Pakistan
Full Stack Dev | ASP.NET, Angular, SQL Server
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Full Stack Dev | ASP.NET, Angular, SQL Server
0
Digital SME Lending Platform Development
0
4
0
Motor Vehicle Registration System (MVRS) Development
0
0
0
Real-Time Vehicle eAuction Platform Development
0
2
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(1)
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Spacebar Technologies
Lahore, Pakistan
Low-Code, High Impact: Blazing-Fast, Top-Tier Internal Tools
$10k+
Earned
8x
Hired
5.0
Rating
13
Followers
Agency Partner
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Low-Code, High Impact: Blazing-Fast, Top-Tier Internal Tools
1
Instacoach
1
4
0
Digital-Treasury SEO Management Platform
0
15
0
Shopify Theme Redesign for Smorgasboard
0
3
0
BrainCube Logo
0
2
Data Engineer
(1)
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Fariha Muazzam
pro
Lahore, Pakistan
I build production-ready AI systems that actually ship
New to Contra
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I build production-ready AI systems that actually ship
0
At Formulatrix, I led the development of a computer vision pipeline for RockMaker, a biotech product used in crystallization experiments. I built and deployed object detection and image classification models that improved scoring accuracy by 13%, reducing manual effort for scientists and increasing customer satisfaction. The solution was productionized with Docker and CI/CD pipelines, ensuring scalability and reliability across client sites.
0
246
1
Satellite imagery is the ultimate stress test for Computer Vision. It is not just about detection; it is about architecting precision across massive, high-resolution datasets where every pixel counts. I have been building AI pipeline to segment parking lots, walkways, and structures from aerial data. The challenge is not just the mode, it is the Infrastructure: - Tiling & Inference: Processing massive dimensions without losing small-object context. - Robust Pre-processing: Using OpenCV to handle varying lighting and atmospheric "noise." - Cloud Orchestration: Turning heavy segmentation models into responsive, scale-ready tools. It is about turning raw pixels into a reliable data layer for the business. Currently opening 20 hours/week for long-term partnerships in Computer Vision & AI Systems.
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86
0
AI-based Video Generation Pipeline
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1
0
I designed and delivered an end-to-end MVP for a real-time AI talking avatar system, where live browser speech is converted into an AI-generated response and rendered through a lip-synced avatar video on GPU hardware. The objective was to validate technical feasibility, latency characteristics, and perceived real-time interaction before committing to production hardening. The system integrates speech-to-text, LLM-based reasoning, text-to-speech, and video synthesis into a single, runnable pipeline, deployed on an A100 GPU.
0
285
Data Engineer
(1)
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Ameer Hamza
Lahore, Pakistan
Seamless Mobile & Web Apps with React Native
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Seamless Mobile & Web Apps with React Native
0
Trial Track Pro
0
10
0
Innerwell
0
5
0
Internet, Phone & TV Service Provider | Frontier.com
0
4
0
Bipzy
0
1
Data Engineer
(1)
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ali raza
Lahore, Pakistan
AI & Data Solutions for Business Growth
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AI & Data Solutions for Business Growth
0
Deep learning model for QC of lithographs
0
0
0
Machine Learning approach for multi class classification
0
0
0
Shopify store data analysis and UX audit
0
0
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