Freelance ML Engineers in Pakistan
Freelance ML Engineers in Pakistan
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Devowise Studios
pro
Pakistan
Web Design Studio | Brand Identity | Framer & AI Solutions
$5k+
Earned
2x
Hired
5.0
Rating
106
Followers
expert
Expert
+5
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Web Design Studio | Brand Identity | Framer & AI Solutions
2
Epos Now - Azure-Powered Data Engineering Pipeline
2
33
1
AI Stocks Advisor – Smart Investment Assistant
1
22
1
AI Chatbot for Crypto – Smart Conversations with Blockchain
1
23
2
Clay – Modern Real Estate Website Development
2
11
ML 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
36
Followers
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Message
Enterprise Cloud · DevOps · AI/ML · Email · Marketing Expert
$501 earned
2
IT/AI Infrastructure Support
2
42
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
674
$750 earned
2
Email Ticketing System Optimization with Trello + SendBoard
2
61
1
Full-Stack SEO Framework for B2B SaaS Company
1
16
ML Engineer
(1)
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Mufasil Iqbal
Karachi, Pakistan
Innovative Solution-Driven Developer
$1k+
Earned
1x
Hired
4.9
Rating
1
Followers
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Innovative Solution-Driven Developer
0
Getz Pharma | Gastro Guru
0
20
0
Foods Inn | AI Restaurant Bot
0
17
0
Get Licensed | Revenue Forecasting Algorithm
0
9
0
Elegant Homes | Property Assistance Bot
0
16
ML Engineer
(4)
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Shehzada Ammad Ali
Islamabad, Pakistan
Full Stack Developer| n8n | Framer| Kajabee| Webflow Expert
1x
Hired
50
Followers
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Full Stack Developer| n8n | Framer| Kajabee| Webflow Expert
2
Rat Paw Detection with YOLOv8 + Gradio This project showcases a lightweight and intuitive web interface for detecting rat paws in images using a custom-trained YOLOv8 model. Built with Gradio, it allows users to upload an image and receive instant visual feedback with detected paws highlighted. Key Features: YOLOv8 object detection fine-tuned specifically for rat paw recognition. Interactive web app for image uploads and real-time inference. Built with Gradio for fast prototyping and deployment. Clean interface with automatic annotation overlay.
2
214
1
AI-Powered Finance & Market Intelligence Dashboard I built a multi-tab interactive finance dashboard powered by Groq's LLM and Phi Agent framework, designed to help investors, analysts, and tech-savvy users gain real-time market insights and AI-powered financial research. This application combines AI-driven conversational capabilities with real-time data extraction from trusted financial APIs and web sources.
1
110
1
AI-Powered News Research Tool | Streamlit Web App This project is a fully functional AI-driven news analysis tool built using Streamlit, designed to help users extract valuable insights from online news articles. Key Features: Accepts a news article URL as input Uses Google Generative AI to analyze and understand the content Splits and processes large articles using Recursive Text Splitting Embeds content using Google Embedding Models Indexes data with FAISS for efficient semantic search Allows users to ask natural language questions, returning accurate answers along with cited sources
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101
1
🚬 New Project: Migratory Story Excited to kick off a new Shopify project for Migratory Story, a premium cigar store. Services: Shopify setup, UI/UX design, Figma prototypes, ecommerce management, and sales-driven content. #Shopify #Ecommerce #PremiumCigars #UIUXDesign #Figma #DirectResponseMarketing
1
171
ML 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
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
71
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
ML Engineer
(2)
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Arslan Zaheer
Pakistan
Senior AI & Software Engineer | CTO-Level Product Builder
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Senior AI & Software Engineer | CTO-Level Product Builder
0
Title: Hallward Hallward is a sophisticated SaaS platform engineered for construction project managers, planners, and contractors involved in major infrastructure projects. It bridges the gap between raw data and strategic decision-making by transforming complex Primavera (XER/XML) files into actionable intelligence. Through automated breakdowns, earned value analysis, and AI-powered risk identification, Hallward eliminates the industry's heavy reliance on manual spreadsheets, providing instant, predictive insights that optimize project outcomes and identify schedule risks before they escalate.
0
118
1
Automating Dealer Operations – AutoVerify AutoVerify required a streamlined platform to automate dealership processes and improve efficiency. Using React for an intuitive front-end and Python for powerful back-end automation, we built a system that simplifies customer verification, document processing, and inventory management. These enhancements reduced manual workload, improved accuracy, and increased processing speed for dealers. The optimized platform now ensures seamless automation, saving time and enhancing overall operational efficiency.
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140
0
Full Stack Development: Real-Time Tracking System for Trak4
0
149
0
Title: Full Stack Development: Rewards System for Hero Trainer Hero Trainer needed a scalable platform to manage its gamified fitness rewards system. Using React for an interactive interface and Python for backend processing, we developed a seamless app that tracks user activity, distributes rewards, and ensures real-time data synchronization. The improved system enhances user engagement, reduces lag in reward distribution, and offers a smooth experience for fitness enthusiasts.
0
134
ML Engineer
(3)
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Muhammad Danish Nadeem
Lahore, Pakistan
Generative AI Developer
New to Contra
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Generative AI Developer
0
Engineered a personalized news recommendation system leveraging the Microsoft MIND dataset to deliver highly relevant, user-centric content at scale. The solution models user engagement patterns through collaborative filtering techniques to predict and surface articles aligned with individual reading behavior. It encompasses a complete machine learning pipeline, including data preprocessing, model training, evaluation, and performance validation using click-through-based metrics on real-world interaction data.
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37
0
This Music Genre Classification System features a modern, AI-powered dashboard designed to classify music genres from uploaded audio files. The interface provides a seamless user experience with a drag-and-drop audio upload section, real-time prediction results, confidence score visualization, and probability distribution across multiple genres. The dashboard follows a clean dark-theme design with vibrant purple accents, making it visually appealing while maintaining usability. Users can upload audio files in various formats, view the predicted genre instantly, and analyze model confidence through interactive charts and progress bars. Additional features such as prediction history and workflow guidance enhance transparency and user engagement. Overall, the frontend effectively combines machine learning functionality, intuitive user interaction, and modern UI/UX principles to create a professional music genre classification platform suitable for academic projects, research demonstrations, and production-ready AI applications.
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38
0
Drug discovery usually takes 10 to 15 years, our service proposes a way to lower the time and the cost by an estimated ten years, by simulating drug molecule behaviour with protein, docking, to give researchers a tool to speed up clinical trials by instead relying on simualtions
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60
0
AI-Powered Resume Screening System Tired of manually sifting through hundreds of resumes? This intelligent screening system does the heavy lifting — automatically parsing resumes, extracting key skills, and semantically matching candidates to job descriptions in seconds. 🧠 How It Works The system uses advanced Natural Language Processing (NLP) to deeply understand both resumes and job descriptions — going far beyond simple keyword matching. It calculates semantic similarity using cosine similarity, meaning it understands context, not just words. ⚙️ Key Features 📄 Smart Resume Parsing — Automatically extracts skills, experience, and qualifications from any resume format 🔍 Semantic Job Matching — Matches candidates to roles based on meaning, not just keywords 🏆 Candidate Ranking — Instantly ranks applicants by relevance score 📊 Match Scoring — Clear percentage-based compatibility scores for every candidate 🕳️ Skill Gap Analysis — Identifies exactly what skills a candidate is missing for a role 🚀 Streamlit Dashboard — Clean, interactive UI deployable in one click 🛠️ Tech Stack Python · NLP · Scikit-learn · Cosine Similarity · Streamlit · SpaCy / NLTK 💼 Perfect For HR teams, recruitment agencies, startups, and any business drowning in job applications — this tool cuts screening time by up to 80%. 📈 Results It Delivers ✅ Faster hiring decisions ✅ Bias-reduced candidate evaluation ✅ Clear, data-backed shortlisting ✅ Scalable to thousands of resumes
0
47
ML Engineer
(3)
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Ihtisham Mehmood
Multan, Pakistan
Data Analysis & AI: Results-Driven Expertise
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Data Analysis & AI: Results-Driven Expertise
0
Deep Learning
0
7
0
Machine learning
0
9
0
All in one LLM Chatbot
0
20
0
A/B Testing For an E-commerce Store
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14
ML Engineer
(2)
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