Freelance AI Agent Engineers in Lahore

Freelance AI Agent Engineers in LahoreFreelance AI Agent Engineers in Lahore

Projects People

proLahore, Pakistan

AI Integration & Automation Engineer | Full-Stack Web Apps

$50k+: Earned

65x: Hired

4.9: Rating

130: Followers

Expert

Expert

+2

AI Integration & Automation Engineer | Full-Stack Web Apps

Cover image for Autonomous Multi-Agent Market Research System Development

Autonomous Multi-Agent Market Research System Development

3

12

Cover image for Magnai | UK Public Affairs

Magnai | UK Public Affairs

5

69

Cover image for Humoni - secure housing in under 72 hours

Humoni - secure housing in under 72 hours

5

122

Cover image for Wellbeing Wizard AI

Wellbeing Wizard AI

8

183

AI Agent Engineer(2)

proLahore, Pakistan

Claude, Codex AI SaaS | More Output, Less Tokens, Clean Code

7: Followers

Claude, Codex AI SaaS | More Output, Less Tokens, Clean Code

Cover image for The platform provides a holistic

The platform provides a holistic solution, offering improved asset management, user visibility, risk assessment, security maturity, and streamlined data management. Ultimately, the project aims to empower SMBs with the tools and insights needed to protect their assets from cyber threats effectively. http://app.assetcurve.io

1

134

Cover image for Autoplay AI gives product teams

Autoplay AI gives product teams a clear view of how users actually move through their software. Using AI-powered session analysis, it identifies friction points, confusing journeys, and drop-off patterns automatically. Instead of just showing what happened, it explains why users struggled and recommends practical improvements. The result is faster product decisions, stronger user experiences, and less guesswork across design and development.

0

130

Cover image for Voice-to-Voice AI Receptionist Assistant for

Voice-to-Voice AI Receptionist Assistant for Businesses My role. AI Agent (Voice-to-Voice AI bot Developer) Project description. Stella AI app, which is a voice-to-voice solution for businesses to manage orders, reservations, and FAQs. I walked through the app's features, including SMS marketing, 24/7 availability, and the ability to customize greeting messages and voice selections. We also explored how to set up a business profile and input a knowledge base and menu through JSON uploads. I demonstrated a live call interaction with Stella AI, showcasing its capabilities in booking appointments. I would love to hear your thoughts on the system and any feedback you might have! Skills and deliverables AI Agent Development AI Bot Artificial Intelligence Natural Language Processing Python

0

213

Cover image for AI based Session Replay Analysis

AI based Session Replay Analysis Tool Built on PostHog My role. Full-Stack Developer / AI Developer Project description. I walk you through the Autoplay app, a session replay analysis tool built on PostHog. We leverage AI to analyze thousands of sessions each week, providing session summaries, user flows, and key insights. I also demonstrate features like our chatbot for communication and the golden path analysis for user flows. I encourage you to explore the filtering options and the recommended issues generated weekly. Your feedback and engagement with the app would be greatly appreciated! Skills and deliverables Session Recording AI Development Full-Stack Development Python Large Language Model

1

201

AI Agent Engineer(5)

Lahore, Pakistan

Scaling B2B revenue via advanced agentic automation.

New to Contra

Scaling B2B revenue via advanced agentic automation.

Cover image for Enterprise AI Outbound Engine: Programmatic

Enterprise AI Outbound Engine: Programmatic Domain Auditing & Hyper-Personalized Lead Acquisition The Objective To eliminate the extremely low conversion rates associated with generic, high-volume cold email strategies. This asset was engineered to build an automated, zero-latency outbound prospecting infrastructure that conducts programmatic technical audits on target company websites in real time. By delivering immediate, hyper-personalized value to a prospect’s inbox, the system dramatically increases cold response rates and shortens sales pipeline velocity. System Architecture & Workflow Breakdown The underlying logic is built as an asynchronous, multi-stage agentic data pipeline that seamlessly processes targets from raw data cells to a finalized outbound delivery: Stage 1: Automated Data Ingestion & Polling: The system monitors a centralized data core (Google Sheets) via automated webhooks, continuously scanning for newly appended prospect leads and tracking operational states to prevent duplicate processing. Stage 2: Programmatic Web Scraping: The workflow executes custom HTTP GET requests to isolate, scrape, and ingest live front-end code, metadata, and structural configurations directly from the target company's domain. Stage 3: Multi-Layered LLM Synthesis: The raw web payload is dynamically passed through dual-stage Large Language Model (LLM) API completion nodes. The first node isolates optimization bottlenecks on the prospect's site. The second node acts as a context-aware copywriter, translating those raw gaps into a polished, bespoke audit tailored specifically to the business owner. Stage 4: Automated SMTP Deployment: The finalized custom audit and strategic pitch are formatted into an email payload and routed through an automated mail-server node to deliver the value statement directly to the decision-maker. Stage 5: Closed-Loop State Sync: Upon successful delivery, a final write-back module updates the primary database row with full timestamp logs and execution states, establishing a clean audit trail. Core Capabilities & Tech Highlights Context-Driven Hyper-Personalization: Completely bypasses basic name-merge fields by extracting live, domain-specific text to generate authentic, high-impact value statements unique to every recipient. Token-Optimized Payload Ingestion: Employs advanced parsing to strip out irrelevant source code before sending data to the LLM core, preserving maximum contextual relevance while drastically lowering API computational costs. Scale-Ready Asynchronous Architecture: Engineered to execute complex web audits and custom draft writing sequentially across hundreds of target leads simultaneously without causing operational bottlenecks or memory overloads. Inbound Funnel Multiplier: Directly interfaces with modern outbound deliverability systems, protecting domain authority by replacing blind spam with highly targeted, consultative tech audits.

0

49

Cover image for Premium 3D Dental Infrastructure: Dynamic

Premium 3D Dental Infrastructure: Dynamic AI-Driven Conversion Engine The Objective: To modernize patient acquisition for high-end clinical practices by replacing outdated, static web layouts with an immersive, high-converting digital ecosystem. The Solution: Engineered a premium, fully responsive dental web infrastructure designed to capture high-value leads automatically. Moving completely away from traditional static pages, this platform utilizes high-performance dynamic components and fluid visual animations to build instant brand authority. The ecosystem features seamless lead generation architectures paired with a fully integrated, highly autonomous Agentic AI Chatbot to guide users from initial discovery to booking. Core Capabilities & Tech Highlights: Dynamic 3D Web Experience: Implements cutting-edge animations and interactive UI layers that break the mold of standard medical websites, significantly maximizing user session duration. Agentic AI Integration: Features an intelligent conversational agent—not a basic keyword-matching chatbot—capable of interpreting complex patient inquiries, qualifying leads, and handling advanced intent workflows autonomously. High-Conversion Lead Capture: Strategically positioned, interactive lead generation forms mapped to user behavior to maximize data capture while minimizing friction. Automated Intake Pipelines: Built to capture user interactions and route pre-qualified inquiry data directly to back-end administrative systems, removing operational drag. The Impact: Developed a scalable, high-retention blueprint for the healthcare sector that transforms passive web traffic into automated, pre-qualified customer pipelines.

0

45

Cover image for AI Commerce Agent: Dynamic Product

AI Commerce Agent: Dynamic Product Retrieval System The Objective: To bridge the gap between inspiration and purchase by creating a seamless, agentic shopping experience for an e-commerce brand (Home Vibe Club). The Solution: Standard chatbots only return text, creating friction for the user. To solve this, I architected an advanced AI Commerce Agent capable of executing complex retrieval tasks. Instead of just answering questions, this agent actively queries the product database and renders interactive, highly visual product cards directly within the chat interface. Core Capabilities & Tech Highlights: Agentic Workflows: The AI autonomously decides when to trigger a product search based on user intent. Dynamic UI Rendering: Automatically injects clickable, aesthetic product cards into the conversation stream. Conversational Commerce: Reduces the barrier to entry, allowing users to browse, discover, and access products without ever leaving the chat window. High-Retention Design: Built with a dark-mode, premium aesthetic to keep users engaged and increase session duration. The Impact: Transformed a static browsing experience into an interactive, high-conversion sales pipeline.

0

57

Cover image for Autonomous AI Voice Agent: 24/7

Autonomous AI Voice Agent: 24/7 Inbound Call & Appointment Scheduler Built an end-to-end autonomous AI Voice Agent designed to handle inbound business calls, answer FAQs with ultra-low latency, and book client appointments directly into calendar systems. 🛠️ Key Features & Technical Architecture: • Natural Conversational AI: Integrated Vapi AI for lifelike, natural-sounding voice interactions with zero awkward delays. • Custom Python Backend: Engineered robust backend logic using Python to manage dynamic call flow states, session context, and lead data. • Automated Scheduling Sync: Connected real-time webhook integrations to check live availability and instantly lock in calendar bookings during the call. • 24/7 Business Coverage: Eliminates missed inquiries and converts cold inbound calls into confirmed client appointments automatically. 💻 Tech Stack: Vapi AI, Python, Webhooks, REST APIs, Calendar Integration

0

43

AI Agent Engineer(3)

Lahore, Pakistan

ML AI | Backend | Computer Vision | GenAI | LLM Agents

New to Contra

ML AI | Backend | Computer Vision | GenAI | LLM Agents

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

1

78

Cover image for French Legal AI Assistant &

French Legal AI Assistant & Agentic RAG System Overview I designed, built, and deployed a specialized Legal AI Assistant for French lawyers using agentic RAG, legal data pipelines, vector search, reranking, open-source LLMs, and citation-grounded answer generation. The system allowed lawyers to ask legal questions and receive answers grounded in French law articles, legal references, and relevant judicial cases. Problem / Challenge Legal data is very different from normal document data. A generic RAG pipeline using fixed-size chunks often breaks legal meaning, misses important context, or retrieves incomplete references. The main challenges were: 🔹 Legal documents had different structures and lengths 🔹 Articles and laws could not be randomly split into fixed-size chunks 🔹 Each answer needed traceable legal references 🔹 Retrieval had to understand legal scope, not just semantic similarity 🔹 The system needed to reduce hallucinations for legal users 🔹 Deployment had to respect privacy and regulatory requirements My Expertise I worked as the Lead AI Engineer / Agentic RAG Developer responsible for the complete system design and implementation. My responsibilities included: 🔹 Legal data pipeline architecture 🔹 Document parsing and preprocessing 🔹 Custom legal chunking strategy 🔹 Vector database design 🔹 Agentic RAG workflow development 🔹 Retrieval optimization and reranking 🔹 Open-source LLM deployment 🔹 Backend API development with FastAPI 🔹 Secure Azure cloud deployment 🔹 Multi-tenant system support French Legal Data Engineering Pipeline I built an automated ETL pipeline to process thousands of French legal documents, articles, and judicial cases. The pipeline handled: 🔹 Raw legal document ingestion 🔹 Text cleaning and normalization 🔹 Legal article extraction 🔹 Section-aware document structuring 🔹 Custom chunk generation 🔹 Metadata extraction for article number, article title, section, source, and reference 🔹 Embedding generation 🔹 Vector database ingestion 🔹 Repeatable updates for future legal data expansion The chunking strategy was designed so legal articles were not cut in the middle or separated from their meaning. Agentic RAG Workflow Instead of using a simple one-step vector search, I built a LangGraph-based agentic RAG workflow. The workflow included: 🔹 User query understanding 🔹 Legal intent detection 🔹 Legal domain and scope identification 🔹 Generation of 2–5 targeted legal search queries 🔹 Retrieval of relevant chunks for each query 🔹 Deduplication of repeated results 🔹 Reranking of retrieved legal evidence 🔹 Source-grounded answer generation This improved tested retrieval accuracy from around 50% to 95%+. Retrieval, Citations & Case Law The retrieval system was designed to make answers transparent and verifiable. I implemented: 🔹 Vector search for semantic legal retrieval 🔹 Reranking to improve relevance 🔹 Metadata-based source traceability 🔹 Citation-backed answer generation 🔹 Article-level legal references 🔹 Typesense-based retrieval for French judicial cases 🔹 Supporting case law returned with legal answers This allowed lawyers to verify the exact legal source behind each generated response. Open-Source LLM & Cloud Deployment I evaluated and deployed open-source LLM infrastructure for private legal AI usage. The deployment included: 🔹 Qwen2.5:14B for French legal reasoning 🔹 Ollama and vLLM for model serving 🔹 Embedding and reranker models on a private Azure GPU VM 🔹 NVIDIA T4 16GB GPU optimization 🔹 Python/FastAPI backend APIs 🔹 Secure Azure deployment in the France region 🔹 Multi-tenant isolated access 🔹 GitHub CI/CD and Linux server management The system was designed for privacy, reliability, and regulatory compliance. Technologies Used 🔹 Python 🔹 FastAPI 🔹 LangChain 🔹 LangGraph 🔹 LangSmith 🔹 Ollama 🔹 vLLM 🔹 Qwen2.5:14B 🔹 ChromaDB 🔹 Typesense 🔹 Vector Databases 🔹 Reranking Models 🔹 Embedding Models 🔹 Azure Cloud 🔹 Linux 🔹 GitHub CI/CD Impact 🔹 Built a production-ready legal AI assistant for lawyers 🔹 Improved retrieval accuracy from ~50% to 95%+ in tested scenarios 🔹 Reduced hallucinations through citation-grounded generation 🔹 Enabled lawyers to verify answers using article and case references 🔹 Created a scalable legal data pipeline for thousands of documents 🔹 Deployed private open-source LLM infrastructure for legal compliance 🔹 Delivered a strong foundation for future legal AI workflows

0

80

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

2

93

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

2

77

AI Agent Engineer(2)

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 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

1

1

129

Cover image for AI-Powered Expense Automation Platform

AI-Powered Expense Automation Platform

2

9

Cover image for Agence Mission Control – 24 Agentic Software Due Diligence

Agence Mission Control – 24 Agentic Software Due Diligence

2

8

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

2

4

370

AI Agent Engineer(3)

proLahore, Pakistan

Full Stack Web & Mobile Dev | Next Js | AI Agent | React

1x: Hired

5.0: Rating

28: Followers

Full Stack Web & Mobile Dev | Next Js | AI Agent | React

Cover image for AI-Powered Automated Tech News Blogger

AI-Powered Automated Tech News Blogger

1

27

Cover image for Northward Capital Investment Platform Development

Northward Capital Investment Platform Development

2

16

Cover image for Chat Buddy – Real-Time Mobile Chat Application Development

Chat Buddy – Real-Time Mobile Chat Application Development

2

12

Cover image for Prodigi Studios

Prodigi Studios

1

11

AI Agent Engineer(1)

Lahore, Pakistan

Sr.Full Stack Consultant and Developer with 8+ years of exp

$10k+: Earned

1x: Hired

5.0: Rating

13: Followers

Sr.Full Stack Consultant and Developer with 8+ years of exp

AI-Driven Brand Intelligence Platform Integration

0

16

Cover image for Exploring structured prompting with Kittl.
For

Exploring structured prompting with Kittl. For this entry, I created a cinematic luxury footwear concept that captures the moment just before completion, where each component comes together to form the final design. The project includes a women’s high heel video and a three-image sneaker composition, focusing on detail, craftsmanship, and premium aesthetics through realistic textures and refined branding. This highlights how structured prompting can transform an idea into a visually polished result.

1

164

Cover image for 🔥 Full-Stack Development - RankBee

🔥 Full-Stack Development - RankBee AI I worked as a Full-Stack Developer on RankBee an AI visibility platform that helps brands track and improve how they appear across AI search engines. 💡 Key contributions: ⚡ Interactive dashboards for AI visibility ⚡ Tools to track competitors and benchmark presence ⚡ AI-driven content optimization workflows ⚡ Prompt-based testing systems ⚡ Streamlined data processing into actionable insights The platform shows how AI interprets a brand which competitors are recommended and how to optimize content for better AI visibility. I focus on solving complex technical challenges and delivering products that give businesses a real advantage. If you’re developing AI-driven tools or ambitious platforms, let’s collaborate.

2

2

202

Cover image for I also designed and developed

I also designed and developed https://infinite-compute.com/, a cloud-powered platform that enables users to access high-performance GPU machines and run demanding 3D tools directly from the web without expensive local hardware. I built the complete system architecture myself including the frontend backend services and cloud infrastructure focusing on performance reliability and secure access to remote computing resources. The platform provides a responsive interface to launch and manage GPU sessions while the backend handles session orchestration user management and compute allocation. The system was designed to maintain stable remote sessions efficiently manage resources and provide secure authentication so developers designers and 3D artists can run heavy software on demand from anywhere.

0

147

AI Agent Engineer(1)

Muhammad Abdullah

Lahore, Pakistan

AI Automation Builder | Website Design

New to Contra

AI Automation Builder | Website Design

Cover image for [4:07 PM, 7/6/2026] Abdullah: AI

[4:07 PM, 7/6/2026] Abdullah: AI agent that handles scheduling end-to-end 🤖📅 [4:07 PM, 7/6/2026] Abdullah: • Hold context-aware conversations (with memory across the session) • Check your Google Calendar availability • Book new appointments directly • Send confirmation emails via Gmail • Log every interaction to Google Sheets for tracking [4:08 PM, 7/6/2026] Abdullah: No manual back-and-forth. No double bookings. Just a conversational front door that turns “can we find time to talk?” into a booked, confirmed, logged event — automatically. This is the kind of workflow I build for real estate and home services businesses who are tired of losing leads to slow follow-up. If you’re exploring how AI automation could save your team hours every week, let’s talk.

1

228

Cover image for Built a fully automated cold

Built a fully automated cold email outreach system using n8n, Gmail and Google Sheets. The system sends personalized cold emails to leads automatically, follows up with those who don't reply, tracks every response and logs replies directly into Google Sheets — all without any manual work. Results: 100% follow-up rate Replies tracked automatically Zero manual sending Runs 24/7 on autopilot

0

16

Cover image for A walkthrough of Solstice Timepieces — a cinematic luxury wa...

A walkthrough of Solstice Timepieces — a cinematic luxury watch brand landing page built in Framer. Watch the full scroll experience: the hero's letter-reveal animation, staggered product card entrances, the interactive Case/Dial/Strap detail viewer, and the slow cinematic zoom on the lifestyle section. Every transition was hand-tuned for pacing to match the unhurried, deliberate feel of a luxury brand — no bounce, no rush, just smooth, intentional motion from top to bottom.

2

84

"A custom brand website design service for fashion, eyewear, and product businesses. I build premium, conversion-focused storefronts with interactive elements (product customizers, animated sections), custom typography, and professional product photography — all tailored to your brand's identity. Recent example: VELO, a concept eyewear brand site featuring an interactive frame customizer with 4 colorways, a feature grid, 360° product photography display, testimonials, pricing tiers, and FAQ — all in a premium dark aesthetic. What you get: a fully designed, functional website concept ready to build out, or a complete working site depending on your package. Feel Free To Message me

1

103

AI Agent Engineer(1)