Freelance Data Engineers in Lahore

Freelance Data Engineers in LahoreFreelance Data Engineers in Lahore

Projects People

Toolshed (Data, Automation, AI Agents, Buildship, Framer)

maxLahore, Pakistan

Data, Automation, AI Agents, Buildship, Framer, Bubble

$100k+: Earned

7x: Hired

5.0: Rating

72: Followers

Top

expert

+1

Data, Automation, AI Agents, Buildship, Framer, Bubble

Cover image for Financial & Usage Analytics for YC-backed healthcare startup

Financial & Usage Analytics for YC-backed healthcare startup

1

30

Cover image for Streamlining Operations for House of Sylas

Streamlining Operations for House of Sylas

2

28

Cover image for Construction FP&A & Revenue AI Platform

Construction FP&A & Revenue AI Platform

6

312

Cover image for Luxury Framer Architecture Portfolio

Luxury Framer Architecture Portfolio

1

24

Data Engineer(3)

proLahore, Pakistan

I install done-for-you analytics in high-ticket businesses.

$10k+: Earned

3x: Hired

4: Followers

I install done-for-you analytics in high-ticket businesses.

Cover image for No More Mondays: Built From Scratch, One Warehouse

No More Mondays: Built From Scratch, One Warehouse

1

42

Cover image for No More Mondays: The Same Close Rate, Told Two Ways

No More Mondays: The Same Close Rate, Told Two Ways

1

50

Cover image for No More Mondays: $1M+ Traced, Deal by Deal

No More Mondays: $1M+ Traced, Deal by Deal

1

7

Cover image for No More Mondays: Ask Your Data, Get Answers in Seconds

No More Mondays: Ask Your Data, Get Answers in Seconds

2

47

Data Engineer(3)

Advancing Data Solutions

proLahore, Pakistan

AI & Data Engineer|Data & AI Architect| AWS|Azure |Snowflake

AI & Data Engineer|Data & AI Architect| AWS|Azure |Snowflake

Cover image for Real-Time Analytics Platform on AWS

Real-Time Analytics Platform on AWS

0

5

Cover image for Oracle to Amazon RDS PostgreSQL
Designed

Oracle to Amazon RDS PostgreSQL Designed and Implemented a secure, scalable architecture to migrate an on-prem Oracle database to Amazon RDS for PostgreSQL. Data Flow: Modeled end-to-end flow, used AWS Glue (SCT) for schema conversion and DMS for full-load and CDC. Stored artifacts in S3 and loaded into RDS. Services: Glue for conversion, DMS for Migration , S3 for artifacts, and RDS as target. Security: IAM roles with least privilege, KMS for encryption at rest. HA & DR: Architected in us-east-1 with Glue, DMS, RDS, S3, and monitoring via CloudWatch.

0

138

Cover image for Real-Time Analytics Platform on AWS

Real-Time Analytics Platform on AWS designed to ingest, process, and visualize high-volume streaming data from IoT devices and application logs. Ingestion: Device telemetry (IoT Core) and application logs are published into Amazon Kinesis Data Streams, followed by lightweight routing and enrichment using AWS Lambda. Processing & Storage: Amazon EMR performs heavy data transformations via Spark Structured Streaming, landing the curated output into Amazon S3 as partitioned Parquet files. AWS Glue then handles batch transformations before loading the data into Amazon Redshift for the analytics workload. Orchestration & Serving: AWS Step Functions coordinate the batch processing workflows. Finally, Amazon QuickSight generates actionable business dashboards while Amazon CloudWatch monitors operational metrics and alarms

0

186

Cover image for Batch ETL Data Warehouse Modernization
Led

Batch ETL Data Warehouse Modernization Led modernization of a legacy batch ETL pipeline into a scalable AWS-based data warehouse. Replaced manual SQL jobs with an automated system loading diverse sources into Amazon Redshift. Ingestion: Daily CSVs and API data land in S3; S3 events trigger Lambda to launch Glue Crawlers and update the Data Catalog. Transformation: Glue PySpark jobs join and cleanse sales, inventory, and customer data, apply quality checks, and move errors to a quarantine path. Output: Partitioned Parquet files stored in S3 for loading into Redshift.

0

159

Data Engineer(4)

Lahore, Pakistan

ML AI | Backend | Computer Vision | GenAI | LLM Agents

New to Contra

ML AI | Backend | Computer Vision | GenAI | LLM Agents

Cover image for AI-Powered PDF Data Extraction
My role:

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

105

Cover image for LakeShield - AI-Powered Video Monitoring

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

146

Cover image for Shelfr - AI-Powered Retail Shelf

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

135

Cover image for ⚖️ Built a French Legal

⚖️ 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

126

Data Engineer(1)

Lahore, Pakistan

I build offline AI tools that make documents talk.

I build offline AI tools that make documents talk.

Cover image for AuraExtract — Intelligent Invoice &

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

189

Cover image for AuraSort scans any folder and

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

185

Cover image for A fully offline document summarizer

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

170

Cover image for Built AuraChat v3.0 — a

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

176

Data Engineer(1)

Lahore, Pakistan

Statistical Data Analyst & Custom Dashboard Developer

New to Contra

Statistical Data Analyst & Custom Dashboard Developer

Cover image for Trace the Ace: Predicting Tutoring Outcomes

Trace the Ace: Predicting Tutoring Outcomes

0

0

Cover image for Statistical Replication & Data Analysis

Statistical Replication & Data Analysis

0

1

Cover image for Custom Interactive A/B Testing Dashboard

Custom Interactive A/B Testing Dashboard

0

0

Cover image for Advanced Multiple Regression & Diagnostics Engine

Advanced Multiple Regression & Diagnostics Engine

0

0

Data Engineer(1)

Lahore, Pakistan

Data Visualization & Operations Expert 📊

Data Visualization & Operations Expert 📊

Cover image for Case Study: Building Pipelines & Visualizations for Insights

Case Study: Building Pipelines & Visualizations for Insights

0

10

Cover image for Automating Workflows with No-Code Solutions using Power Platform

Automating Workflows with No-Code Solutions using Power Platform

0

8

Cover image for Case Study: Replacing SAAS Solution for over $50k Annual Savings

Case Study: Replacing SAAS Solution for over $50k Annual Savings

0

34

Cover image for Case Study: Built a Support Team & Process from Scratch

Case Study: Built a Support Team & Process from Scratch

0

29

Data Engineer(1)

Lahore, Pakistan

Full Stack Dev | ASP.NET, Angular, SQL Server

Full Stack Dev | ASP.NET, Angular, SQL Server

Cover image for Digital SME Lending Platform Development

Digital SME Lending Platform Development

0

7

Cover image for Motor Vehicle Registration System (MVRS) Development

Motor Vehicle Registration System (MVRS) Development

0

4

Cover image for Real-Time Vehicle eAuction Platform Development

Real-Time Vehicle eAuction Platform Development

0

6

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Data Engineer(1)