Freelancers using Hugging Face in LahoreFreelancers using Hugging Face in Lahore
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Arslan Mehmood's avatar
Arslan Mehmood
Lahore, Pakistan
ML AI | Backend | Computer Vision | GenAI | LLM Agents
New to Contra
ML AI | Backend | Computer Vision | GenAI | LLM Agents
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
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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
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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.
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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
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Hugging Face(3)
Saud Saleem's avatar
Saud Saleem
Lahore, Pakistan
Top Rated Plus Freelancer & Top 1% Talent
$5k+
Earned
2x
Hired
5.0
Rating
17
Followers
Top Rated Plus Freelancer & Top 1% Talent
Cover image for AI Function Calling Agent
AI Function Calling Agent
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14
Cover image for Business Development AI Workflow
Business Development AI Workflow
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9
Cover image for ADHD-Friendly AI Automation Workflows
ADHD-Friendly AI Automation Workflows
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40
Cover image for Anchor Down - Transport & Logistics Platform
Anchor Down - Transport & Logistics Platform
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16
Hugging Face(1)
Ayesha Javed's avatar
Ayesha Javed
Lahore, Pakistan
Where Founder Vision Is Engineered into Agentic AI Products.
36
Followers
Where Founder Vision Is Engineered into Agentic AI Products.
Cover image for Out of Harm's Way – AI-Powered Code Security MLOps System
Out of Harm's Way – AI-Powered Code Security MLOps System
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6
Cover image for AI can help founders build
AI can help founders build products faster than ever. But building is only half the journey. In this episode, I share a real engineering lesson about why products that look "finished" often aren't ready for production and what actually happens between a working prototype and a successful launch. Building is no longer the bottleneck. Launching is. #FounderEngineeringJournal #AgenticAI #AISaaS #ProductEngineering #StartupFounder #AIEngineer #MVP #Launch #ProductDevelopment #BuildInPublic
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Cover image for I wish I had it
I wish I had it months ago. (Launching Proult - Desktop App) I spent 20 minutes looking for a Stripe credential. I checked my notes. My browser bookmarks. Old chats. Random text files. Not because I forgot it. Because I couldn't remember where I had saved it. That's when I realized the most dangerous phrase in a developer's workflow isn't: "I forgot." It's: "I've saved it somewhere." As freelancers, students, developers, and builders, we constantly juggle multiple projects simultaneously. And each project comes with its own ecosystem of information: • Client details • Credentials and passwords • API keys and secrets • Domains and hosting accounts • GitHub repositories • Deployment links • Meeting notes • Project requirements • Time logs and deadlines The problem isn't that we don't save this information. The problem is that we save it everywhere. -A Notepad file for credentials. -A spreadsheet for clients. -A project management tool for tasks. -Bookmarks for links. -Chat messages for "important" details. And before long, finding information takes more time than using it. After one too many "I know I saved this somewhere" moments, I decided to build something for myself. A single place where every project has its own secure workspace. Not just for storing passwords, but for managing everything related to that project: clients, credentials, API keys, notes, services, links, statuses, and time tracking. That's how "𝐏𝐫𝐨𝐮𝐥𝐭" started. So over the last few days, I've been building Proult, A local-first desktop application designed to keep everything related to a project in one place. -AES-encrypted credentials, API keys, and secrets -Project and client management -Built-in time tracking -Organization through project domains (Freelance, Personal, Organization, University) -Global search across projects, clients, credentials, and services -Full import/export support so your data always remains yours -Pinned projects, tags, notes, deployment links, and service management -Local-first architecture; no cloud dependency, everything stays under your control Still polishing it, but building it has already improved my own workflow significantly. Turns out, the best developer tools are often the ones built to solve your own frustrations first.
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Cover image for Most founders believe building the product is the hardest pa...
Most founders believe building the product is the hardest part. The real challenge starts after that. That was the biggest lesson from a recent iOS app I shipped using RORK Max. The app came together quickly. But what really mattered was the launch process: App Store assets. Metadata. Submission checks. Publishing workflow. Those invisible steps can slow a product down just as much as the code itself. That is why I enjoy helping founders build production-ready products, not just features. If you're working on an AI product, mobile app, or MVP, I'd love to help you move from idea to launch. AI Engineering • Agentic AI • Product Engineering • iOS Development • Mobile App Development • AI-Native Development • App Store Deployment • Product Launch • MVP Development • Founder Support • Startup Technology • Production-Ready Products • Digital Product Development • Front-End Development • Automation #AIEngineering #ProductEngineering #iOSDevelopment #MobileAppDevelopment #Founder #Startup #MVP #DigitalProducts
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131
Hugging Face(1)
Hamza Saleem's avatar
Hamza Saleem
Lahore, Pakistan
Architecting Intelligent Systems for High-Velocity Growth
5.0
Rating
2
Followers
Architecting Intelligent Systems for High-Velocity Growth
Cover image for Development of Athena IQ AI Chatbot Platform
Development of Athena IQ AI Chatbot Platform
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Cover image for Comprehensive Development of Convex Backend for Client Commander
Comprehensive Development of Convex Backend for Client Commander
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6
Cover image for Rlly
Rlly
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4
Cover image for Development of Silentsheet Text Editor
Development of Silentsheet Text Editor
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5
Hugging Face(1)
Muhammad Umair's avatar
Muhammad Umair
Lahore, Pakistan
AI Engineer building AI agents, LLM apps, RAG systems
New to Contra
AI Engineer building AI agents, LLM apps, RAG systems
Cover image for Developed an AI-powered KYC verification
Developed an AI-powered KYC verification feature that compares a user's National ID/CNIC photo with their selfie using facial embeddings. The system detects and processes both images, generates face embeddings, compares facial similarity, and automatically determines whether the identity match meets the verification criteria.
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Cover image for Developed a custom AI assistant
Developed a custom AI assistant integrated with Telegram using the OpenAI SDK. The agent was connected to private business data and designed to provide context-aware, personalized responses through a simple Telegram chat interface. The solution focused on private knowledge integration, custom AI behavior, and automated conversational assistance.
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Cover image for AI Organization & Business Automation We
AI Organization & Business Automation We developed and tested a complete AI-powered business organization designed to automate customer communication, sales, operations, marketing, and business management. The system uses multiple specialized AI agents coordinated through a central Chief of Staff AI. The workflow can handle customer conversations, qualify leads, manage CRM records, schedule meetings, generate Google Meet links, understand voice messages, and escalate important matters to the business owner. The core AI platform has already been built and tested successfully. The remaining phase focuses mainly on official API integrations, production infrastructure, security, and deployment to make the system reliable and scalable for real-world business operations.
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Cover image for A Python pipeline that reads
A Python pipeline that reads incoming payment documents PDFs, scans, spreadsheets, even phone photos and turns them into database-ready JSON for a logistics company's accounting system. The hard part wasn't extraction, it was trust. In accounting, a wrong number is worse than no number, so the pipeline never guesses: anything ambiguous comes back as null with a note, and every run reconciles sums and counts to the exact cent before it returns anything.
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Hugging Face(1)
Muhammad Hassan's avatar
Muhammad Hassan
Lahore, Pakistan
Full Stack AI Engineer
Full Stack AI Engineer
Cover image for Lingopal.ai
Lingopal.ai
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4
Cover image for Image Key Wording
Image Key Wording
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3
Cover image for Realiste.ai
Realiste.ai
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5
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