Freelance ML Engineers in Johar TownFreelance ML Engineers in Johar Town
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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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138
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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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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106
ML Engineer(2)
Muhammad Danish Nadeem's avatar
Muhammad Danish Nadeem
Lahore, Pakistan
Generative AI Developer
New to Contra
Generative AI Developer
Cover image for Engineered a personalized news recommendation
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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45
Cover image for This Music Genre Classification System
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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Cover image for Drug discovery usually takes 10
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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67
Cover image for AI-Powered Resume Screening System Tired of
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
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ML Engineer(3)
Hammad Tahir's avatar
Hammad Tahir
Lahore, Pakistan
AI Developer & ML Engineer: Top-notch Expertise
AI Developer & ML Engineer: Top-notch Expertise
Cover image for Yolo v10 - Object Detection and tracking
Yolo v10 - Object Detection and tracking
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328
Cover image for AI Agents workflow
AI Agents workflow
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Cover image for Computer Vision - Detection and Segmentation with Yolo V9
Computer Vision - Detection and Segmentation with Yolo V9
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52
Cover image for RAG (Retrieval Augmented Generation) Pipeline
RAG (Retrieval Augmented Generation) Pipeline
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38
ML Engineer(5)
Waqas Ali's avatar
Waqas Ali
Lahore, Pakistan
AI Developer Data Analyst and ML Expert
AI Developer Data Analyst and ML Expert
Cover image for Spam_Email
Spam_Email
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6
Cover image for Road Traffic Accident
Road Traffic Accident
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8
Cover image for Wild Blueberry Yield Prediction
Wild Blueberry Yield Prediction
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15
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ML Engineer(3)
Saud Saleem's avatar
Saud Saleem
proLahore, Pakistan
Top Rated Plus Freelancer & Top 1% Talent
$5k+
Earned
2x
Hired
5.0
Rating
18
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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Cover image for ADHD-Friendly AI Automation Workflows
ADHD-Friendly AI Automation Workflows
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41
Cover image for Anchor Down - Transport & Logistics Platform
Anchor Down - Transport & Logistics Platform
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17
ML Engineer(1)
Ayesha Javed's avatar
Ayesha Javed
Lahore, Pakistan
Where Founder Vision Is Engineered into Agentic AI Products.
47
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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Cover image for Personalized Tutoring in AI, Automation, and Digital Workflows
I have been promoted to "Super Tutor" on Preply.😍 -5 Star Rating✨ -70+ Lessons Completed -30+ Students taught Click 👇 to: Get 30% off your trial lesson with me. (https://preply.com/en/?pref=MzEzODYxMTI=&id=1790865324.975789&ep=w1) Syllabus included: - AI - Automations - Agentic AI - GitHub/Linkedin Optimization - AI Filmmaking - AI Workflows - Business Workflows - AI Consulting Let me guide you from where you are, assess your level, design your personalized syllabus, and start learning!
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Cover image for Ghibli-Style Milestone Animation The Context/Problem: I need...
Ghibli-Style Milestone Animation The Context/Problem: I needed a unique visual asset to celebrate reaching 15,000 followers on LinkedIn and showcase my creative AI capabilities. The Solution/Execution: I built a custom Google AI workflow to generate a 10-second, four-scene animated short film styled entirely in a Studio Ghibli aesthetic. The Value Delivered: The video merged technical prompting with storytelling, generating much impressions within hours and proving AI's power for scroll-stopping brand assets.
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160
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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530
ML Engineer(1)
Zeeshan Gardezi's avatar
Zeeshan Gardezi
proLahore, Pakistan
Full-Stack AI/ML Engineer | Web & Mobile Apps | SaaS & MVPs
6
Followers
Full-Stack AI/ML Engineer | Web & Mobile Apps | SaaS & MVPs
Cover image for Building an AI-Powered Platform for
Building an AI-Powered Platform for Conversations Across Languages What happens when two people need to communicate but don’t speak the same language? I am working on an AI-powered multilingual communication platform designed to make conversations easier across language barriers. The platform allows a user to speak or type a message in their preferred language. It processes the input, translates the message, and returns the result as both readable text and generated audio. When automated translation is not enough for a complex or sensitive conversation, the experience can also provide access to additional human language support. My contribution focused on strengthening the technical foundation behind this experience, including: Voice-to-text processing Multilingual translation Text-to-speech generation Native-script transcription Backend performance Concurrent request handling Web and mobile consistency Testing and feedback workflows One of the biggest challenges was ensuring that the product did more than simply list multiple languages as “supported.” It also needed to: Process different writing systems Produce understandable native-script output Maintain translation and transcription quality Generate consistent audio responses Handle multiple language-processing tasks efficiently Provide a reliable experience across web and mobile devices I approached the platform as a complete communication system rather than a collection of disconnected AI features. Translation quality, speech processing, backend architecture, accessibility and human support all needed to work together to create a useful experience. Over the next few weeks, I’ll share more about how I approached multilingual transcription quality, backend scalability and speech integration while protecting client confidentiality. This case study contains recreated visuals and anonymized technical information. The client identity, product name, original interface, user information and proprietary workflows have been intentionally excluded. What do you think is the biggest challenge when building a multilingual product: accuracy, response time or accessibility?
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Cover image for Passerelle AI | Multilingual Communication
Passerelle AI | Multilingual Communication Platform for Healthcare & Legal Services
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Cover image for Project Title: ASAPP CRM —
Project Title: ASAPP CRM — AI-Powered Real Estate Lead Management Short Description: A role-based real estate CRM that centralizes lead capture, assignment, follow-ups, communication, reporting, and AI-powered sales workflows. Project Description: I led the full-stack development of ASAPP CRM, a real estate sales platform designed to help teams manage leads, communication, follow-ups, and daily operations from one centralized system. The Challenge Real estate teams were receiving leads from multiple channels and relying on disconnected tools for assignment, communication, and follow-ups. This made it difficult to track lead activity, maintain accountability, and respond to opportunities on time. The Solution I helped create a scalable CRM platform featuring: • Role-based dashboards for administrators, managers, and agents • Automatic lead capture from social channels • Round-robin and manual lead assignment • Complete activity history when leads are transferred • SMS, WhatsApp, and email communication from the lead profile • Follow-up calendar for overdue, upcoming, and completed activities • Real-time lead pipeline and conversion monitoring • AI-powered lead scoring and sales forecasting • Next-best-action recommendations • AI chatbot for lead qualification • Context-aware email and SMS drafting • Mobile access and live lead-count widgets The Result ASAPP CRM gave sales teams a clearer view of their pipeline, improved lead ownership, and made follow-ups easier to manage. Its automated follow-up workflow also helped reduce the missed-meeting ratio by 2%. My Role: Lead Full-Stack Developer Skills: CRM Development, TypeScript, Node.js, Express.js, MongoDB, REST APIs, RBAC, AI Integration, Workflow Automation
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Cover image for Transportive | Luxury Ride Booking
Transportive | Luxury Ride Booking & Transport Management Platform
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244
ML Engineer(2)