Freelance Data Engineers in Rawalpindi
Freelance Data Engineers in Rawalpindi
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Muhammad Haseeb
pro
Islamabad, Pakistan
Full Stack AI Developer, Worked at @Sony | Web, iOS, Android
13
Followers
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Full Stack AI Developer, Worked at @Sony | Web, iOS, Android
0
Refreshing 500K+ award records in three weeks
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4
0
KCNL: cutting document-AI cost from $20K to $1.5K/month
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1
1
MedMatch: Deployed Healthcare Voice Agent
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3
0
Building AI-assisted operations for 2,000+ Full Credit Sweep
0
2
Data Engineer
(2)
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Hammad Tariq
Islamabad, Pakistan
Data Warehouse Engineer | Cloud Enthusiast | Data Engineer
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Data Warehouse Engineer | Cloud Enthusiast | Data Engineer
0
Google Data Pipeline
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36
0
Dashboard Migration
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39
0
ETL Processing On Google Cloud Using Dataflow and Big Query
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41
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Data Engineer
(3)
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Mohammad Roshaan Butt
Rawalpindi, Pakistan
Data Engineer | Data Scientist
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Data Engineer | Data Scientist
0
streaming pipeline and data warehousing with stock market data
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3
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Automated batch processing for POS transactions
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4
0
E Commerce Analytics Pipeline
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5
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Data Engineer
(3)
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Usama Idrees
Islamabad, Pakistan
Enterprise Cloud · DevOps · AI/ML · Email · Marketing Expert
$10k+
Earned
13x
Hired
4.4
Rating
41
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Enterprise Cloud · DevOps · AI/ML · Email · Marketing Expert
0
Serverless Architecture for Scalability & Efficiency at VMLA
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36
$501 earned
2
IT/AI Infrastructure Support
2
53
30
I’m Usama Idrees, IT & AI Specialist based in Islamabad, Pakistan. Thrilled to be part of this amazing community and to connect with talented Professionals from around the world! 🚀 A little about me: What I do: I lead tech and product strategy, focusing on building innovative solutions that empower businesses and individuals. Passion: Creativity meets technology — I love turning ideas into impactful products. Looking for: Collaborations with designers, developers, and creative minds who want to build something extraordinary. Excited to learn, share, and grow together here. If you’re working on something cool or looking for a tech partner, let’s connect! 💡 What’s your current creative project? Drop it below — I’d love to check it out. 👇
2
30
845
$750 earned
2
Email Ticketing System Optimization with Trello + SendBoard
2
68
Data Engineer
(1)
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Dayyan Mustafa
Islamabad, Pakistan
Full-Stack Developer & Product Designer; AI Integration
New to Contra
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Full-Stack Developer & Product Designer; AI Integration
0
Videon – AI Video understanding system A full-stack AI pipeline for analyzing live streams and recorded YouTube videos, developed as a university project pushed to production-level complexity. Implements a 12-technique computer vision pipeline (Gaussian blur, Sobel, CLAHE, optical flow, HOG, K-Means) for keyframe extraction and visual feature analysis, feeding results to an LLM for intelligent video understanding. Includes domain-specific analysis modules for medical, trading, law, and education content, plus a strategy-extraction engine that auto-generates pseudocode and Python stubs directly from video content.
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667
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Rancer – Cash-Flow Timing and Decision-Simulation Product
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3
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Rancer – Cash-Flow Marketing Site
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2
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Bancer – Fintech Market Dashboard Bancer was designed in Figma – a dark, data-dense fintech UI with a custom 3D Earth centerpiece, sparkline cards, sortable tables, and an alert system – then built end-to-end into a live full-stack app. The frontend is React + TypeScript, connected to a Node.js/Express backend with a Postgres database (Supabase) and Google OAuth. It pulls live market data from a financial API on a scheduled polling cycle, and lets users build a watchlist and set price alerts that evaluate automatically against incoming data. Frontend and backend are deployed independently across two cloud platforms. This is a working product, not a mockup – real auth, a real database with row-level security, a real data pipeline, and genuine loading/empty/error states throughout.
1
1
529
Data Engineer
(1)
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JUNAID Mohi Ud Din
Islamabad, Pakistan
AI Automation & Full-Stack Developer | Computer Vision • NLP
New to Contra
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AI Automation & Full-Stack Developer | Computer Vision • NLP
0
Smart Farming Advisor — Agentic AI The Smart Farming Advisor is an end-to-end agentic AI system that empowers the agriculture sector with data-driven crop recommendations and accurate plant disease detection. Utilizing an intelligent agentic routing system for autonomous intent classification, the platform seamlessly integrates computer vision models (ResNet50) and machine learning classifiers (Random Forest). It features a comprehensive RAG pipeline with semantic search for farming Q&A, bridging a Next.js 14 frontend with a Flask REST API backend. This project emphasizes my ability to orchestrate multi-tool AI assistants and deliver high-impact predictive modeling solutions.
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34
1
NexusAI — Enterprise Agentic Assistant NexusAI is a production-ready enterprise agentic conversational platform that revolutionizes e-commerce through intelligent intent classification and semantic product search. Built with LangGraph, FastAPI, and Next.js 15, this AI assistant utilizes advanced RAG pipelines and Supabase pgvector to deliver highly personalized, context-aware recommendations in real-time. By leveraging Groq's LPU for sub-second LLM inference and FlashRank for cross-encoder analysis, the system ensures unparalleled accuracy and speed. This project highlights my advanced proficiency in LLM orchestration, vector databases, and real-time frontend integration via Server-Sent Events.
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VisiHealth AI – Explainable Medical VQA VisiHealth AI is a multimodal, explainable Medical Visual Question Answering system designed to analyze complex clinical radiology scans. Utilizing PyTorch, ResNet-50, and BioLinkBERT, the platform fuses text and spatial image patches through a real multi-token cross-attention mechanism to provide accurate clinical insights. It builds diagnostic trust through explainable AI by overlaying attention-map heatmaps on original scans and deriving human-readable rationales from a 4,444-triplet medical knowledge graph. Delivered via a scalable Next.js and Flask architecture, it demonstrates my capability in deep learning and healthcare AI integrations
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28
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CrawlX – Full-Stack Data Aggregation & Scraping Portal
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28
Data Engineer
(1)
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Arham Malik
Rawalpindi, Pakistan
Backend & AI engineer who ships systems fast and scale.
New to Contra
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Backend & AI engineer who ships systems fast and scale.
0
Imagine having over 100 different data sources all over the place. That was the problem Apex Analytics solved. I built this big data platform on Google Cloud using BigQuery and ETL pipelines that clean, transform, and unify everything. The frontend is React based, so stakeholders can see real time KPIs without waiting forever. Queries come back in under a second even with millions of records. It felt like solving a giant puzzle, but the result was a super reliable analytics hub that the entire company trusted. For more details, please visit: https://arham-nexus.vercel.app/work/apexanalytics
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72
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This is a classic enterprise academic portal, but built solid. It uses Web Forms, ASP.NET, C#, and SQL Server. The main challenge was role based access control because you have admins, faculty, TAs, and lab demonstrators all needing different permissions. I designed a three tier architecture with stored procedures and optimistic concurrency control so data doesn’t get messed up when people edit at the same time. Over 200 users per semester use it for task assignments and progress tracking. It’s not flashy, but it works perfectly. For more details, please visit: https://arham-nexus.vercel.app/work/talabportal
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Skill Swap is a peer to peer learning platform where you can be both a student and a teacher. I built the backend with Java Spring Boot, real time chat with WebSockets, and video calls with WebRTC. The matching algorithm finds people based on skills, ratings, and availability. You can switch roles anytime. It also has a trust based review system so fake reviews don’t ruin it. This was an MVP, but it proved that real time learning communities can work really well. For more details, please visit: https://arham-nexus.vercel.app/work/skillswap
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80
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This is a native Android app I built with Kotlin and Firebase. It connects tourists with verified local guides in real time. You open the app, see nearby guides, book a tour, and then you can track each other’s location live using Google Maps. I also added offline support because travel doesn’t always have perfect internet. Over 100 active users ended up using it,during the MVP. The best part? Battery usage was optimized so your phone doesn’t die halfway through the day. Really proud of how smooth it turned out. For more details, please visit: https://arham-nexus.vercel.app/work/raaheraast
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75
Data Engineer
(1)
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Muhammad Butt
Islamabad, Pakistan
Full-stack, DevOps, ETL, scraping, and cloud infrastructure.
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Full-stack, DevOps, ETL, scraping, and cloud infrastructure.
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NAaaS- News Analytics as a Service
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10
0
Devops Engineer
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8
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Xymbia Timekeeper
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11
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