Freelance Software Engineers in Lahore
Freelance Software Engineers in Lahore
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Abubakar Chan
pro
Lahore, Pakistan
AI Integration & Automation Engineer | Full-Stack Web Apps
$50k+
Earned
65x
Hired
4.9
Rating
123
Followers
Expert
Expert
+2
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AI Integration & Automation Engineer | Full-Stack Web Apps
5
Magnai | UK Public Affairs
5
58
6
LynxFlowHealth
6
172
5
Hoopoe Social Club
5
75
5
Flyyt Time | Elevate your aviation career
5
92
Software Engineer
(4)
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Nivyan B
pro
Lahore, Pakistan
Fullstack AI Developer for Ambitious Startups
21
Followers
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Fullstack AI Developer for Ambitious Startups
4
Promptly - AI System for Converting Ideas to Specs
4
6
5
Quanta: A Natural-Language SQL Workspace for Teams
5
11
9
Swerv Auto: SaaS Platform for Car Dealerships
2
9
12
8
Development of EasyBar: A Modern Marketplace for Rebar Ordering
1
8
12
Software Engineer
(5)
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Azhar M
Lahore, Pakistan
Fullstack Developer
5.0
Rating
2
Followers
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Fullstack Developer
0
Sawah — Travel & Tourism Platform for Middle Eastern Cities
0
31
0
My Textbook
0
19
0
Vankrupt Games
0
44
0
CanCS (Canada Courier Systems)
0
25
Software Engineer
(2)
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Ali Amin
Lahore, Pakistan
Expert software developer ⚡️
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Expert software developer ⚡️
0
Dunya (Social Travel Booking App)
0
19
0
Product Updates
0
18
0
Mobile App Development (Audioh)
0
12
0
Ecommerce site
0
7
Software Engineer
(5)
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Muhammad Ahmad Mansoor
Lahore, Pakistan
Engineering intelligent solutions with AI.
5.0
Rating
2
Followers
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Engineering intelligent solutions with AI.
0
I just completed a production-ready AI Lead Generation Agent designed to automate how businesses discover, verify, and export qualified leads across multiple data sources. This system replaces manual lead hunting with an intelligent, filter-driven pipeline that aggregates business data, verifies contact information, and delivers CRM-ready outputs in real time. 🔑 What this agent does: • Searches businesses by location, industry, and keywords • Aggregates data from Yellow Pages, Google Maps (API-ready), and extensible sources • Applies smart filters (company size, founding date, industry relevance) • Automatically verifies emails, phones, and websites • Deduplicates leads for clean datasets • Exports structured CSVs for sales & marketing teams • Supports real-time queries via a FastAPI backend • Schedules daily exports and weekly reports 🧠 Tech Stack Highlights: • Python + FastAPI (async, high-performance backend) • Selenium-based scraping with anti-bot handling • Modular lead source orchestration • Glassmorphism UI with real-time search • CSV-based persistence (lightweight & scalable) This project was built with real business use cases in mind — sales pipelines, outreach automation, and scalable lead discovery — not just experimentation. 🎥 Full walkthrough video: 👉 I’m actively building and sharing end-to-end AI systems focused on automation, data intelligence, and real-world impact. hashtag#AI (https://www.linkedin.com/search/results/all/?keywords=%23ai&origin=HASH_TAG_FROM_FEED) hashtag#ArtificialIntelligence (https://www.linkedin.com/search/results/all/?keywords=%23artificialintelligence&origin=HASH_TAG_FROM_FEED) hashtag#LeadGeneration (https://www.linkedin.com/search/results/all/?keywords=%23leadgeneration&origin=HASH_TAG_FROM_FEED) hashtag#Automation (https://www.linkedin.com/search/results/all/?keywords=%23automation&origin=HASH_TAG_FROM_FEED)hashtag#SoftwareEngineering (https://www.linkedin.com/search/results/all/?keywords=%23softwareengineering&origin=HASH_TAG_FROM_FEED) hashtag#FastAPI (https://www.linkedin.com/search/results/all/?keywords=%23fastapi&origin=HASH_TAG_FROM_FEED) hashtag#WebScraping (https://www.linkedin.com/search/results/all/?keywords=%23webscraping&origin=HASH_TAG_FROM_FEED)hashtag#SaaS (https://www.linkedin.com/search/results/all/?keywords=%23saas&origin=HASH_TAG_FROM_FEED) hashtag#Startup (https://www.linkedin.com/search/results/all/?keywords=%23startup&origin=HASH_TAG_FROM_FEED) hashtag#Entrepreneurship (https://www.linkedin.com/search/results/all/?keywords=%23entrepreneurship&origin=HASH_TAG_FROM_FEED)hashtag#TechProjects (https://www.linkedin.com/search/results/all/?keywords=%23techprojects&origin=HASH_TAG_FROM_FEED) hashtag#AIProjects (https://www.linkedin.com/search/results/all/?keywords=%23aiprojects&origin=HASH_TAG_FROM_FEED) hashtag#BuildInPublic (https://www.linkedin.com/search/results/all/?keywords=%23buildinpublic&origin=HASH_TAG_FROM_FEED)hashtag#BusinessGrowth (https://www.linkedin.com/search/results/all/?keywords=%23businessgrowth&origin=HASH_TAG_FROM_FEED) hashtag#SalesTech (https://www.linkedin.com/search/results/all/?keywords=%23salestech&origin=HASH_TAG_FROM_FEED) hashtag#B2B (https://www.linkedin.com/search/results/all/?keywords=%23b2b&origin=HASH_TAG_FROM_FEED)
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Building the Future of Hiring: Real-Time AI Interviews I’m excited to share a demo of our AI-based recruiter automation tool, designed to streamline recruitment funnels with real-time video interviews, deep skill analytics, and cheating detection. In this video, I demonstrate the full candidate journey: 🔹 Backend Automation: The system extracts skills from my resume and matches them against the job description automatically. 🔹 Interactive Interview: I speak directly with "Higher Vision AI" about my experience in Computer Vision, GenAI, and Agentic AI across industries like security surveillance and e-commerce. 🔹 Technical Deep Dives: We discuss real-world challenges, such as implementing voice-to-voice interaction using LiveKit and how I adapted to new integration hurdles. 🔹 Instant Feedback: The session wraps up with a comprehensive dashboard displaying my interview score, resume score, summary, and skills audit. I also discuss how I stay ahead of trends using resources like daily.dev (http://daily.dev). 🎧 Note: Please excuse the slight echo on the agent's voice in this screen recording; it is a result of the recording setup, not the live system! #AgenticAI (https://www.linkedin.com/search/results/all/?keywords=%23agenticai&origin=HASH_TAG_FROM_FEED) #TalentAcquisition (https://www.linkedin.com/search/results/all/?keywords=%23talentacquisition&origin=HASH_TAG_FROM_FEED) #ComputerVision (https://www.linkedin.com/search/results/all/?keywords=%23computervision&origin=HASH_TAG_FROM_FEED) #PeopleAnalytics (https://www.linkedin.com/search/results/all/?keywords=%23peopleanalytics&origin=HASH_TAG_FROM_FEED) #VoiceAI (https://www.linkedin.com/search/results/all/?keywords=%23voiceai&origin=HASH_TAG_FROM_FEED) #FutureOfWork (https://www.linkedin.com/search/results/all/?keywords=%23futureofwork&origin=HASH_TAG_FROM_FEED) #SkillAssessment (https://www.linkedin.com/search/results/all/?keywords=%23skillassessment&origin=HASH_TAG_FROM_FEED) #InterviewIntelligence (https://www.linkedin.com/search/results/all/?keywords=%23interviewintelligence&origin=HASH_TAG_FROM_FEED) #LLM (https://www.linkedin.com/search/results/all/?keywords=%23llm&origin=HASH_TAG_FROM_FEED) #SecureHiring (https://www.linkedin.com/search/results/all/?keywords=%23securehiring&origin=HASH_TAG_FROM_FEED) #TechRecruitment (https://www.linkedin.com/search/results/all/?keywords=%23techrecruitment&origin=HASH_TAG_FROM_FEED)
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I wanted to make an AI talk to me like a real human. Not a chatbot that waits for you to finish speaking. Not a voice note exchange. I wanted an AI that could listen while I spoke, interrupt naturally, and respond instantly — like a personal assistant or customer-care agent. Something that didn’t just reply, but could actually do things — send emails, check dashboards, automate tasks. So I started small. I used a basic text model with Kokui for speech-to-text. The first time it responded, it felt magical — until it started ignoring me mid-sentence, replying late, or not speaking at all. Latency was awful. It wasn’t a conversation; it was waiting for a robot to remember it existed. I upgraded to DeepGram, tuned the audio, and still, it felt disconnected. I wanted real-time. I wanted the AI to exist in time with me, not after me. So I went deep into research. GitHub, StackOverflow, documentation black holes, even different AI platforms — but nothing gave me the real-time link I needed. Then I found one line buried in a doc: “OpenAI uses LiveKit for real-time voice.” That changed everything. LiveKit works like Zoom — a room where participants join and talk. I built my agent to join a LiveKit room, then I joined as well. And for the first time, I wasn’t sending messages to a server — I was talking to an AI inside the same space. The first test stunned me. Latency dropped to about 50ms. The AI listened while I spoke, and responded instantly. For the first time, it felt alive. Then came a strange bug. The AI joined once, but couldn’t reconnect after leaving. I rewrote code, regenerated tokens, nothing worked — until I realized LiveKit doesn’t let you rejoin a room with the same token. I changed the room name and boom — it worked flawlessly. Now it runs inside LiveKit Sandbox, talking and listening in real-time. It can send emails, check dashboards, handle automation — all with almost zero delay. I started out trying to make a talking AI. What I built feels more like a digital employee — one that works, listens, and speaks in real time. And the best part? It doesn’t feel like the future anymore. It feels like now. #AI (https://www.linkedin.com/search/results/all/?keywords=%23ai&origin=HASH_TAG_FROM_FEED) #ArtificialIntelligence (https://www.linkedin.com/search/results/all/?keywords=%23artificialintelligence&origin=HASH_TAG_FROM_FEED) #LiveKit (https://www.linkedin.com/search/results/all/?keywords=%23livekit&origin=HASH_TAG_FROM_FEED) #VoiceAI (https://www.linkedin.com/search/results/all/?keywords=%23voiceai&origin=HASH_TAG_FROM_FEED) #AITools (https://www.linkedin.com/search/results/all/?keywords=%23aitools&origin=HASH_TAG_FROM_FEED) #MachineLearning (https://www.linkedin.com/search/results/all/?keywords=%23machinelearning&origin=HASH_TAG_FROM_FEED) #AIAssistant (https://www.linkedin.com/search/results/all/?keywords=%23aiassistant&origin=HASH_TAG_FROM_FEED) #AIInnovation (https://www.linkedin.com/search/results/all/?keywords=%23aiinnovation&origin=HASH_TAG_FROM_FEED) #TechDevelopment 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1
🚀 Built an AI Receptionist for Healthcare — Here's What It Can Do Managing a healthcare front desk is challenging. Calls, appointment scheduling, patient questions, and administrative tasks often overwhelm staff, leading to long wait times and missed opportunities to deliver a great patient experience. To address this, I built an AI Receptionist MVP designed specifically for healthcare providers. It can answer calls, schedule appointments, manage inbound and outbound communication, and respond to patient inquiries—all while staying within appropriate clinical boundaries. Here's what it demonstrated during a live test with our demo clinic, Evergreen Community Health Center: 🧠 Intelligent Patient Conversations Rather than following a fixed script, the AI understands context and knows its limitations. ✅ Recognized that dermatology wasn't offered and suggested available services instead: General Practice Pediatrics Physical Therapy Dental Care ✅ Clearly avoided giving medical advice by responding: "As a receptionist, I'm not qualified to provide medical advice." ✅ Offered the appropriate next steps by either: Booking a GP appointment for an initial assessment, or Transferring the caller to clinical staff for medical questions. 📅 Smart Appointment Scheduling The AI schedules appointments based on both clinic policies and patient preferences. During the demo, it: Collected the patient's information. Suggested the next available appointment. Adjusted the booking when the patient requested a later time. Checked clinic operating hours automatically and successfully booked a 5:00 PM appointment before closing. 💳 Administrative Automation Beyond booking appointments, the AI also handled routine administrative tasks by: Explaining consultation fees. Answering policy-related questions. Confirming referral procedures. Collecting the patient's email for appointment confirmation. ⚡ Built for Scale Unlike a traditional reception desk, the AI can handle thousands of conversations simultaneously. That means: No busy signals No waiting queues No missed calls Better patient accessibility 24/7 ⚙️ Easily Customizable Every healthcare provider operates differently. The AI can be configured with: Clinic-specific services Staff availability Business hours Appointment rules FAQs Internal workflows making it adaptable to virtually any healthcare organization. This project demonstrates how conversational AI can streamline healthcare operations while allowing staff to spend more time focusing on patient care. I'm excited to continue expanding its capabilities with integrations such as EMR/EHR systems, multilingual support, voice biometrics, and intelligent call routing. 💬 If you're exploring AI solutions for healthcare, I'd love to connect and discuss how conversational AI can modernize patient engagement. #AI #ArtificialIntelligence #HealthcareAI #HealthTech #VoiceAI #AIReceptionist #Automation #ConversationalAI #PatientExperience #GenerativeAI #LLM #Innovation
1
36
Software Engineer
(3)
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Ahmad Saddiqui
Lahore, Pakistan
Senior AI Engineer | AI Agents, Automation & SaaS Solutions
New to Contra
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Senior AI Engineer | AI Agents, Automation & SaaS Solutions
0
1. Executive Summary Auto Social Publishing is a SaaS automation platform that allows businesses and agencies to publish social media content at scale using Excel spreadsheets. The platform enforces admin approvals, prevents duplicate posting, provides real‑time execution visibility, and tracks usage‑based costs for transparent billing. It is built for operational teams and agencies that require control, reliability, auditability, and predictable pricing when automating social media workflows. 2. What This Automation Is A hosted SaaS system that: Converts Excel files into social media posts Publishes to Instagram and Facebook using Ayrshare Enforces approval‑based access control Streams real‑time execution logs Tracks per‑client usage and cost
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Proposals & Contract Automation is a fully hosted SaaS platform designed to streamline the creation, delivery, tracking, and signing of proposals and contracts. It replaces fragmented workflows involving documents, emails, follow-ups, and manual approvals with a unified, AI- assisted system. The platform reduces sales cycle time, improves close rates, and provides a professional client experience through automated workflows, secure public access links, and centralized tracking. This automation is an end-to-end deal-to-signature system that enables businesses to: • Create proposals and contracts from templates • Use AI to assist content drafting • Send documents securely to clients • Track acceptance, rejection, and signatures • Automate reminders and expirations • Manage users and approvals at scale
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82
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RagChatBot is a fully hosted AI Knowledge Assistant that allows businesses to convert their internal documents (PDFs, policies, FAQs, guides) into an intelligent, customer‑facing chatbot. The system uses Retrieval‑Augmented Generation (RAG), meaning the AI answers questions only from company‑provided data, with traceable citations. This removes hallucinations, improves trust, and makes AI responses audit‑friendly. The product is delivered as a SaaS platform. Clients do not install anything locally. They sign up, upload documents, and deploy a chat widget on their website within minutes This automation replaces: - Manual knowledge lookup by staff - Static FAQ pages - Repetitive customer support conversations RagChatBot acts as a 24/7 AI employee that understands company knowledge and answers questions consistently and instantly
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The Gmail Fraud Detection System is a fully hosted SaaS platform that continuously monitors Gmail inboxes to identify phishing, scam, and fraudulent emails. It uses a hybrid detection approach combining fast, rule-based analysis with optional AI-powered inspection—to deliver high accuracy while keeping operational costs low. The platform is designed with enterprise-grade access control, manual user approval, and per- user AI cost visibility, making it safe, scalable, and financially predictable. It serves both individual users and organizations that want proactive inbox protection without deploying or managing infrastructure.
1
86
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(4)
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Abdullah Tariq
Lahore, Pakistan
Experienced Web Developer & Backend Engineer
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Experienced Web Developer & Backend Engineer
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Climatebase
0
15
0
LegalAtoms - E-filing your legal case documents
0
20
0
Paypal - Online Payment System
0
22
0
Primero (UNICEF) - Case Management System
0
27
Software Engineer
(5)
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Abdul Rafay
Lahore, Pakistan
I Build Web MVP and AI SaaS Products for Startups & founders
New to Contra
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I Build Web MVP and AI SaaS Products for Startups & founders
0
Okani Travels
0
1
0
Drop PR
0
4
0
Enterprise Software Agency Website | React, Next.js, TypeScript & API Project description. A high-end corporate software development platform for DZone Technologies, built with React, Next.js, TypeScript, and Node.js. Showcases full-stack capabilities through a strategic landing experience, comprehensive services ecosystem, portfolio, testimonials, and careers sections. Strong focus on modern Web Development, responsive design, performance optimization, SEO, and professional UX. Powered by clean API architecture and API Integration, this scalable Web Application positions the company as a trusted digital transformation partner
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Media Professional Portfolio | React, Next.js & Responsive UI Project description. A modern personal portfolio website for Matt Rangel, a media and performance-marketing professional with 5+ years of agency experience. Built with React and Next.js, it showcases his executive summary, core strengths, professional journey, certifications, and contact details through a clean, responsive interface. Features a structured experience timeline, skills sections, and smooth navigation built with reusable components and optimized HTML/CSS layouts. This polished Web Application combines personal branding, credibility, and lead generation
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43
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(24)
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