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
$100k+
Earned
7x
Hired
5.0
Rating
63
Followers
Top
expert
+1
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Message
Data, Automation, AI Agents, Framer, Retool, Bubble
1
Financial & Usage Analytics for YC-backed healthcare startup
1
24
2
Streamlining Operations for House of Sylas
2
24
5
Development of Financial Management Platform for Vergo
5
290
0
Luxury Real Estate & PropTech Website (Framer)
0
7
Data Engineer
(3)
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Taziem Uddin
Lahore, Pakistan
I install done-for-you analytics in high-ticket businesses.
$10k+
Earned
2x
Hired
1
Followers
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Message
I install done-for-you analytics in high-ticket businesses.
1
No More Mondays: Built From Scratch, One Warehouse
1
15
1
No More Mondays: The Same Close Rate, Told Two Ways
1
26
1
No More Mondays: $1M+ Traced, Deal by Deal
1
1
1
No More Mondays: Ask Your Data, Get Answers in Seconds
1
18
Data Engineer
(3)
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Arslan Mehmood
Lahore, Pakistan
ML AI | Backend | Computer Vision | GenAI | LLM Agents
New to Contra
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ML AI | Backend | Computer Vision | GenAI | LLM Agents
0
AI-Powered PDF Data Extraction My role: AI Data Processing and Extracton Engineer Organizations often struggle to extract structured and useful information from large volumes of unstructured PDF documents. I developed a flexible AI-powered data extraction solution that allows users to define the specific entities and fields they want to retrieve. The system processes different PDF formats, identifies relevant information, and converts it into structured, usable data. The solution reduces manual document processing, improves retrieval accuracy, and can be adapted to different document types and business requirements. A working demo link is attached.
0
66
2
LakeShield - AI-Powered Video Monitoring and Vessel Intelligence Platform I led the development of LakeShield as the Senior AI/ML Engineer and Lead Developer, taking the platform from initial research and experimentation to a scalable production system. My responsibilities included: 🔹 Designing the end-to-end AI and video-processing architecture 🔹 Building YOLO-based boat and vehicle detection pipelines 🔹 Developing object tracking and movement-analysis workflows 🔹 Implementing OCR for extracting boat registration information 🔹 Creating scalable pipelines for processing thousands of surveillance videos 🔹 Developing FastAPI backend services and automated data workflows 🔹 Building a Next.js analytics dashboard integrated with Supabase 🔹 Deploying and operating the AI pipeline on cloud GPU infrastructure 🔹 Optimizing model accuracy, inference speed, infrastructure costs, and reliability 🔹 Managing production monitoring, troubleshooting, maintenance, and continuous improvements The platform transforms raw surveillance footage into structured operational insights, enabling automated vessel monitoring, vehicle activity analysis, registration extraction, and reporting. This project involved complete technical ownership across Computer Vision, AI/ML, backend development, cloud infrastructure, data engineering, MLOps, and production operations. #ComputerVision #VideoAnalytics #ArtificialIntelligence #ObjectDetection #OCR #MLOps #FastAPI #NextJS #Supabase #CloudEngineering
2
89
2
Shelfr - AI-Powered Retail Shelf Intelligence Platform I led the development of Shelfr as the Senior Computer Vision Engineer and Lead Developer, taking the platform from the initial idea and system architecture through development, deployment, and production operations. My work included: 🔹 Designing the complete computer vision and backend architecture 🔹 Building product detection, shelf analysis, OCR, and image-processing pipelines 🔹 Developing APIs and scalable data-processing workflows 🔹 Deploying and managing production systems on GCP cloud servers 🔹 Optimizing model accuracy, processing speed, and infrastructure performance 🔹 Managing production monitoring, reliability, troubleshooting, and ongoing improvements 🔹 Leading technical decisions across AI, backend, cloud infrastructure, and DevOps The platform converts real-world retail shelf images into structured product and shelf-level insights, helping automate retail auditing, product visibility analysis, and inventory workflows. #ComputerVision #RetailAI #LeadDeveloper #AIEngineering #GCP #MLOps #Python #CloudEngineering
2
70
1
⚖️ Built a French Legal AI Assistant powered by advanced RAG and LLM technology. The system enables users to ask complex legal questions and receive accurate, context-aware answers grounded in French legal documents. Key features include: 🔹 Custom legal document ingestion and chunking 🔹 Metadata-based vector search 🔹 Hybrid retrieval and reranking 🔹 Agentic RAG workflows using LangGraph 🔹 Source-grounded answers with legal references 🔹 Private deployment on an Azure VM using locally hosted LLMs The main focus was improving retrieval accuracy, reducing hallucinations, and making large collections of legal documents easier to search and understand. #LegalAI #RAG #LLM #ArtificialIntelligence #LangGraph #Azure #GenerativeAI #MachineLearning
1
69
Data Engineer
(1)
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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.
2
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.
2
144
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.
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147
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.
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141
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
146
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
9
0
Automating Workflows with No-Code Solutions using Power Platform
0
7
0
Case Study: Replacing SAAS Solution for over $50k Annual Savings
0
27
0
Case Study: Built a Support Team & Process from Scratch
0
21
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
6
0
Motor Vehicle Registration System (MVRS) Development
0
3
0
Real-Time Vehicle eAuction Platform Development
0
5
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Umar Abdullah
max
Lahore, Pakistan
Full-Stack Dev (Web, Mobile, Desktop) & Chromium Browser Dev
$50k+
Earned
8x
Hired
5.0
Rating
57
Followers
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Full-Stack Dev (Web, Mobile, Desktop) & Chromium Browser Dev
0
Senior Browser Developer | Custom Chromium Browser Development
0
12
6
Full-Stack Developer | Chromium Expert | Chrome Extension
6
47
5
Chromium Browser Development for enterprise
5
30
4
Chrome Browser Extension Development (API + Supabase Backend)
4
32
Data Engineer
(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
8
0
Digital-Treasury SEO Management Platform
0
21
0
Shopify Theme Redesign for Smorgasboard
0
7
0
BrainCube Logo
0
6
Data Engineer
(1)
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