Freelance ML Engineers in Karachi
Freelance ML Engineers in Karachi
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Mufasil Iqbal
Karachi, Pakistan
Innovative Solution-Driven Developer
$1k+
Earned
1x
Hired
4.9
Rating
1
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Innovative Solution-Driven Developer
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Getz Pharma | Gastro Guru
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22
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Foods Inn | AI Restaurant Bot
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17
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Get Licensed | Revenue Forecasting Algorithm
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9
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Elegant Homes | Property Assistance Bot
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17
ML Engineer
(4)
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Daniyal Abbas
Karachi, Pakistan
AI/ML Engineer | Generative AI Expert | Python & Full Stack
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AI/ML Engineer | Generative AI Expert | Python & Full Stack
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Face Verification Attendance System
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7
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Agile Employee Referral Platform
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8
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AI Powered Blockchain System
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11
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ML Engineer
(3)
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osama zaman
Karachi, Pakistan
i am a student of ai and ml
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i am a student of ai and ml
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Comparative Analysis Heart Disease Prediction
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4
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Triage Model using LightGBM
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5
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oct-GAN Implementation
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4
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BirdCLEF+ 2026 Submission
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6
ML Engineer
(6)
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Abdul Wahab
pro
Karachi, Pakistan
Lead Full Stack Developer | AI/ML Engineer | Data Scientist
New to Contra
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Lead Full Stack Developer | AI/ML Engineer | Data Scientist
0
I am a senior full-stack developer and technical lead with 8 years of experience building scalable web and mobile applications. My expertise includes AI/ML-powered solutions, LLM integrations, automation, and AI-assisted development. I work with React, Next.js, Node.js, Express, Angular, Python, Go, TypeScript, JavaScript, MongoDB, PostgreSQL, etc. I am pursuing a master's in AI. I build cross-platform mobile apps using React Native & Flutter, solving complex technical problems.
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AI Clinical Phenotype Mapping Platform Development
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NewGenia: Clinical bioinformatics for clinicians
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4
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H2O Home Luxury E-commerce Website Redesign
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0
ML Engineer
(3)
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Turyal Neeshat
Karachi, Pakistan
Senior Python Developer specializing in AI/ML and Chatbots
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Senior Python Developer specializing in AI/ML and Chatbots
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Ai Chatbot Developer | Python | LLM | VAPI | GHL
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19
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Sr.Python Dev | AI ML Engineer | Generative AI | Chatbots Expert
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26
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AI-Powered Restaurant Reservation System Handling 5000+ Queries
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17
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(2)
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muneeb arshad
Karachi, Pakistan
Data Scientist
9
Followers
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Data Scientist
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Skin Disease Identification using CNNs
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5
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Financial Performance Dashboard
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6
1
Retail Fashion Boutique Sales Analytics 2025
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8
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OpenSky Flight Data Analysis Project
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4
ML Engineer
(1)
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Adeel Khan
Karachi, Pakistan
Entry-level Data & SEO professional with analytics skills
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Entry-level Data & SEO professional with analytics skills
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I will do SQL queries, a SQL database project, ER diagram. Hi, If you are looking for SQL, MySQL ER diagrams,s and database projects, then you are on right place. The following are the services I provide. SQL, MYSQL, SQLite queries SQL, MYSQL Database or Schema Designing SQL, MYSQL Database Programming SQL, MYSQL tables creation -SQL, MYSQL queries SQL, MYSQL functions SQL, MYSQL triggers SQL, MYSQL procedures SQL, MYSQL injections SQL, MYSQL complex queries ER diagrams and Schemas SQL, MYSQL Database Development Relational Algebra queries Normalization upto BCNF What makes my services different from others... 100% customer's satisfaction Top Quality Quick Turnaround Availability 24/7 100% unique unlimited revisions
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Stop treating your freelance lead generation like a messy checklist. Tracking client pitches, job board applications, and contract conversations in scattered notes apps or clunky spreadsheets is a recipe for missed revenue. When you scale your freelance business, your intake pipeline is everything. If a prospective client reaches out for an intro call, you need to know exactly which pitch deck you sent them, what their budget parameters were, and when you last followed up. The solution? Turn your job search into a visual workspace. Here is the exact setup I use to manage my opportunities: 1. Centralized Asset Hub: Every application entry holds the exact portfolio link, custom proposal version, and job description text before it gets taken down. 2. Visual Kanban Statuses: Move opportunities seamlessly from Pitching ➔ Interviewing ➔ Contract Proposal ➔ Closed/Signed. 3. Follow-Up Reminders: Keep clean checkboxes for daily micro-tasks so a warm lead never goes cold. To help fellow independents skip the administrative headache, I packaged my personal system into a clean, minimal dashboard. The Job Application Tracker Notion Template gives you a ready-to-use pipeline to manage applications, interviews, and follow-ups in one view. It's built to keep your pipeline clean so you can focus entirely on executing great client discovery calls. Grab the tracker for just $3 here: gumroad.com (http://gumroad.com) How are you currently tracking your active freelance pitches and contract leads this month?
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Why You Should Stop Making Your Own Planners Your time is worth more than a $5 template. I know the feeling. You open a blank Canva page, ready to build the "perfect" system. Two hours later, you’re still spiraling over font pairings and whether that shade of pink is too pink. You don’t have a planning problem; you have a design fatigue problem. When you spend all your creative energy building the tool, you have none left to actually use it. That’s why I created the 12-Month Pastel Floral Monthly Planner. The "Done-For-You" Advantage: Instant Professionalism: Skip the "amateur" look and start with a minimal, modern aesthetic designed for clarity. Seasonal Flow: You get 12 unique, colorful themes already matched to the vibe of the month from January’s soft dawn to October’s cool blue. Full Flexibility: It’s not a locked PDF. You can still change the fonts or move the "Monthly Goals" section in Canva if your needs shift. Dual-Use: Whether you want to plan on your iPad or prefer the tactile feel of a printed page, the work is already done for you. The Bottom Line: Stop wasting your Sunday afternoons on grid lines. Invest in a system that inspires you to show up, then get back to the work that actually matters. [CTA: Grab the template at the link in bio / planorastudioo.gumroad.com/l/aesthetic-pastel-monthly-planner (https://planorastudioo.gumroad.com/l/aesthetic-pastel-monthly-planner)]
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Aesthetic Digital Planner – 2026 Edition Project Overview I designed a 10‑page customizable digital planner that blends clean minimalism with soft pastel aesthetics. Built as an editable Canva template, this planner is optimized for digital use across iPad, tablet, laptop, and mobile. Buyers can also print it if they prefer a physical version, but the product is delivered as an instant digital download. Features Editable in Canva – personalize layouts to fit your workflow. Daily, Weekly & Monthly Pages – structure your schedule with clarity. Notes Section – capture ideas, reflections, and reminders. Multi‑Device Friendly – works seamlessly on iPad, tablet, laptop, and mobile. Premium Aesthetic – soft pastel colors, clean typography, and balanced layouts. Deliverables Gumroad‑ready product mockups (hero image, multi‑device layouts, close‑up detail shots). SEO‑optimized product title, description, and tags for Gumroad Discover. Marketing copy for Medium, Pinterest, and Contra portfolio. Refund policy and trust badges for buyer confidence. Why It Works This planner isn’t just a tool it’s a lifestyle upgrade. By combining functionality (editable, multi‑layout, instant download) with design appeal (minimal, pastel, professional), it positions itself as a premium digital product that resonates with students, freelancers, and professionals worldwide. Call to Action Explore the full product here: Aesthetic Digital Planner 2026 (https://planorastudioo.gumroad.com/l/aesthetic-planner-2026)
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81
ML Engineer
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Tehseen Aizaz
Karachi, Pakistan
AI Engineer
New to Contra
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AI Engineer
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⚡ DocuMind Intelligence Hub — RAG System A lightweight, modern Retrieval-Augmented Generation (RAG) system designed for instant PDF querying and semantic document analysis. ✨ Key Features 🚀 Blazing Fast Answers: Powered by Groq Llama 3.1 8B Instant LLM. 🔍 Semantic Vector Search: In-memory ChromaDB integration for exact context retrieval. 📍 Source Citations: Grounded answers with page-level document citations to prevent hallucinations. 🎨 Modern UI: Responsive and clean interface built with Streamlit and custom styling. 🛠️ Tech Stack Frontend: Streamlit Vector Database: ChromaDB LLM Engine: Groq API (Llama 3.1) PDF Parser: PyPDF https://document-inteliigence-rag-2tjute5rb5zdhxesfbujew.streamlit.app/ (https://document-inteliigence-rag-2tjute5rb5zdhxesfbujew.streamlit.app/)https://github.com/tehseenaizaz2/document-inteliigence-rag.git
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Juris AI — Multi-Agent Legal Command Center A supervisor-orchestrated AI system that automates client intake, legal research, scheduling, and follow-up for law firms. Overview Juris AI is a full-stack legal-tech dashboard built around a Supervisor Agent architecture — one central engine that delegates work across five specialized sub-agents, each handling a distinct part of a law firm's client pipeline. Instead of a single chatbot, this is a coordinated multi-agent workflow: intake, research, scheduling, outreach, and follow-up all operating under one live control center. Core Features 🧠 Supervisor Agent Engine Central dashboard that monitors and orchestrates all five sub-agents in real time, with live status indicators (Operational / Ready / Active / Standing By) for each one. 📋 Qualification Agent (Client Intake) Captures client name, email, and practice area, then runs an AI evaluation on case details to classify eligibility and route new leads automatically. 📚 Research Agent (RAG-Powered) A retrieval-augmented generation engine connected to an internal case-law vector database. Lawyers can query legal precedents in plain English and get relevant results pulled directly from indexed case law. 📅 Meeting Agent Schedules attorney–client consultations directly from the dashboard, capturing date, time, and client details, and syncing them to an availability log. ✉️ Outreach Agent Generates personalized client email drafts from a few key talking points — ready to review and dispatch without starting from a blank page. 🔔 Followup Agent Tracks clients with pending responses or outstanding document signatures and triggers automated reminder emails/SMS with one click. 📊 Live Analytics Dashboard Visualizes supervisor delegations and RAG query volume over the week, plus a live multi-agent activity log showing every action each agent takes in real time. Tech Stack Frontend: Custom HTML/CSS/JavaScript dashboard — dark command-center UI with a modular card layout Backend: Python AI Layer: RAG (Retrieval-Augmented Generation) pipeline over an internal legal document vector store Architecture: Supervisor–sub-agent orchestration pattern (one router agent delegating to task-specific agents) What's Included Full multi-agent dashboard (Supervisor, Intake, Research, Meeting, Outreach, Followup) RAG-based legal precedent search connected to a case-law database Real-time activity logging across all agents Responsive, professional dark-themed UI built specifically for legal workflows Clean, modular codebase — easy to extend with new agents or connect to a real case-management backend Ideal For Law firms and legal-tech startups looking to automate repetitive parts of client intake and case management — or as a foundation to extend into a full practice-management platform. Available Add-Ons Real user authentication & role-based access (partners, associates, paralegals) Integration with a live case-management database Custom sub-agents (billing, contract review, e-discovery, etc.) Deployment & hosting setup
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:→ A Coder agent writes the actual implementation → A Reviewer agent — a completely separate AI persona — reviews it for correctness, edge cases, and security issues → If rejected, the Coder revises based on specific feedback (up to 3 rounds) → Once approved, a Tester agent writes real pytest tests from scratch → Tests run in a sandbox. If they fail, the Coder fixes the code and the cycle repeats
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I built an AI agent that doesn't just chat — it actually does things. 🛰️ Most "AI chatbot" projects stop at answering questions. I wanted to go further, so I built an autonomous customer support agent that can: ✅ Look up real orders from a database ✅ Calculate and process refunds — with a confirmation step before anything is committed ✅ Create support tickets automatically ✅ Search actual policy documents (RAG) instead of guessing answers ✅ Detect when it's stuck and escalate to a human ✅ Understand English, Urdu, and Roman Urdu — automatically ✅ Take voice input and reply back with voice ✅ Resist prompt-injection attempts It's powered by Groq (Llama 3.3 70B) with real function-calling — not hardcoded if/else logic. The agent decides which tool to use, when to chain multiple tools together, and when a human needs to step in. I also built a live analytics dashboard on top of it, so every ticket, refund, and escalation is tracked in real time. This project taught me more about how production AI agents actually work than any tutorial could — tool orchestration, guardrails, and the messy reality of getting LLMs to behave reliably. 🔗 Code on GitHub: https://github.com/tehseenaizaz2/ai-support-agent.git (https://github.com/tehseenaizaz2/ai-support-agent.git)🎥 Demo: https://ai-support-agent-cl72uu3tk9vdxgoeufifxu.streamlit.app/ #AI #MachineLearning #LLM #Groq #Python #AIAgents #OpenToWork #Freelance #Streamlit
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