Freelance ML Engineers in Johar Town

Freelance ML Engineers in Johar TownFreelance ML Engineers in Johar Town

Projects People

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 ⚖️ 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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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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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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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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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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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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Cover image for RAG (Retrieval Augmented Generation) Pipeline

RAG (Retrieval Augmented Generation) Pipeline

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Lahore, Pakistan

AI Developer Data Analyst and ML Expert

AI Developer Data Analyst and ML Expert

Cover image for Spam_Email

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Cover image for Road Traffic Accident

Road Traffic Accident

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Cover image for Wild Blueberry Yield Prediction

Wild Blueberry Yield Prediction

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Johar Town, Pakistan

Data Scientist | Data Analyst | ML Engineer

Data Scientist | Data Analyst | ML Engineer

Cover image for Language Translation Model In Python | NLP Projects

Language Translation Model In Python | NLP Projects

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Cover image for Masked Language Modeling In Python | NLP Projects

Masked Language Modeling In Python | NLP Projects

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Cover image for Sentiment Analysis In Python | NLP Projects

Sentiment Analysis In Python | NLP Projects

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Cover image for Text Classification In Python | NLP Projects

Text Classification In Python | NLP Projects

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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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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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Cover image for Anchor Down - Transport & Logistics Platform

Anchor Down - Transport & Logistics Platform

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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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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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Khadija Subhani

Lahore, Pakistan

Backend & AI Engineer | Python, FastAPI, RAG Systems

New to Contra

Backend & AI Engineer | Python, FastAPI, RAG Systems

Cover image for Adversarial Attacks on AI-Based Robotic

Adversarial Attacks on AI-Based Robotic Vision Systems - A REASEARCH PAPER

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Cover image for AskRAG — RAG-Based Codebase Q&A

AskRAG — RAG-Based Codebase Q&A Tool Built a retrieval-augmented generation (RAG) tool that lets developers ask natural-language questions about any codebase and get accurate, context-aware answers. Designed and built the full backend using FastAPI, with FAISS for vector storage and all-MiniLM-L6-v2 embeddings for semantic search. Integrated Gemini 2.5 Flash for response generation, PostgreSQL/Supabase for data persistence, and GitHub OAuth for secure repo access. Also built the React/Vite frontend and resolved a critical authentication bug involving JWT cookie handling. A working prototype demonstrating practical LLM application design — from embedding pipelines to secure auth flows. Project link: https://github.com/khadijayy/askrag

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Cover image for Social Engineering in Cyber Security

Social Engineering in Cyber Security - A RESEARCH PAPER

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Cover image for Synapse — AI-Powered Team Formation

Synapse — AI-Powered Team Formation & Mentor-Matching Platform Built as a final year project — an AI-powered platform for team formation and mentor-matching, designed to help students and teams find the right collaborators using data-driven compatibility scoring. Built the Flutter frontend, the core matching engine (a seven-signal composite scoring system with a Random Forest collaboration predictor and SHAP-based explainability), the proximity module, and Firebase Cloud Messaging integration for real-time notifications. Also managed the deployment pipeline — backend on Render, frontend on Netlify. A fully deployed, functioning platform showcasing applied machine learning, mobile development, and real-time system design in one product.

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