Hire the Best Artificial Intelligence Engineers in Islamabad, PK

⭐️Top Rated Plus — Top 1% on Upwork ⭐️ Over 100 Enterprise LLM and Computer Vision Solutions Delivered 💸 $5 Million+ Generated in revenue for top companies worldwide 🥇Gold Medalist in Computer Engineering & Microsoft Imagine Cup Winner I’m a Senior Computer Vision and AI, and Full-Stack Developer with 8+ years of experience building production-grade AI systems, Large Language Model (LLM) solutions, intelligent chatbots, and computer vision applications for startups and enterprises worldwide. I’ve helped 90+ companies across the US, Europe, and the Middle East launch scalable AI products and generate over $5M in revenue through automation, predictive systems, and generative AI. Currently, I lead Aeyron Technologies Pvt. Ltd. as CEO while delivering high-impact freelance AI solutions for global clients. If you’re looking for someone who can design, build, fine-tune, and deploy real AI systems and not demos, you’re in the right place. LLMs, Generative AI & Chatbots: • LLM fine-tuning and custom model training (LLaMA, LLaMA-2, BLOOM, OPT) • Prompt engineering and workflow optimization • RAG systems using LangChain, FAISS, ChromaDB • AI chatbot development and automation agents • API-based AI integrations for web and mobile applications Common use cases: AI assistants, document intelligence, knowledge-base bots, SaaS AI features, automated workflows. Computer Vision Expertise: • Object detection and tracking (YOLO, OpenCV, custom deep learning models) • OCR systems and document processing • Face recognition and biometric systems • Image segmentation and analytics • Video intelligence pipelines • 3D vision and stereo reconstruction • AR/VR vision-based applications Machine Learning & AI Engineering: • Predictive modeling and forecasting • NLP systems and text analytics • Time-series analysis • Reinforcement learning • Data pipelines and MLOps • AI automation tools • AI-powered dashboards and products Full-Stack & AI Product Development: Frontend: React, Angular, Flutter, Streamlit, Tailwind, Figma Backend: Node.js, Django, Flask, .NET, REST APIs Databases: MongoDB, PostgreSQL, MySQL, Firebase, SQL Server Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Nginx, Heroku I deliver end-to-end AI products from MVP to enterprise scale. AI/ML Tech Stack: PyTorch, TensorFlow, Keras, OpenCV LangChain, LlamaIndex, FAISS, ChromaDB NumPy, Pandas, Scikit-learn, Matplotlib AWS SageMaker, Rekognition, GCP Vision API Why Clients Choose Me: - Top Rated Plus freelancer (Top 1%) - Proven $5M+ revenue impact - Production-grade AI systems - Clear communication and fast delivery - Business-focused AI solutions Typical Projects: • Custom LLM fine-tuning and private GPT systems • AI chatbots for SaaS and customer support • Computer vision pipelines • AI-powered SaaS platforms • Intelligent data products • AI workflow automation

Edge AI and computer vision deployment on NVIDIA Jetson, RK3588, and embedded hardware. Your model works in the notebook. On the device, it misses its deadline. That gap is where I work. I'm a Top Rated engineer with an MS in Artificial Intelligence Engineering and active research in efficient vision-model deployment on embedded hardware. I get vision models to meet real latency, power, and thermal budgets on constrained devices, and I prove it with measurements taken on your target hardware, not estimated from spec sheets. Most performance problems I'm brought in for aren't model problems. They're measurement problems: teams size hardware from FLOPs or spec-sheet TOPS, and real silicon disagrees, sometimes by more than a factor of two on the configurations I've measured. I start by measuring what your system actually does, then fix what the numbers point at. ▪️ EDGE AI & COMPUTER VISION 🎯 Hardware selection, vendor-neutral. Which board, which accelerator, which precision, for this workload and this budget? I take no margin on hardware, which is the only reason the recommendation is worth anything. If the cheaper option wins, that's what the report says. 🔍 Feasibility & technical assessment. Can this model run on this hardware, at this accuracy, inside this budget? I answer with measured evidence before you commit to a board, a sensor, or an architecture. It's the cheapest engagement you'll run, and it prevents the most expensive mistakes. 📊 Measurement & benchmarking. Worst-case latency (p99, not averages), power draw, thermal derating under sustained load, and where your pipeline actually spends its time. Locked clocks, warm-up discarded, medians over hundreds of runs. This is the protocol real deployments require. ⚙️ Deployment engineering. ONNX export with numerical-parity verification, engine building and optimization, pipeline restructuring, quantization and precision selection, memory and bandwidth tuning. From notebook to production on the hardware you're actually shipping. 🧠 Model development under constraint. Building or adapting detection, classification, and tracking models to fit a budget measured first, rather than training something large and hoping it fits later. ▪️ PLATFORMS NVIDIA Jetson (Nano, Orin Nano, Orin NX) with TensorRT and CUDA. This is where my research sits and where most of my measured deployment work has been done. Rockchip RK3588 and RK3588S boards (Forlinx, Radxa, Orange Pi) with the RKNN toolchain. I've written the bring-up and verification methodology for this family, including the silicon-variant and toolchain-host constraints that catch teams out. Raspberry Pi 4, 5 and CM4/CM5 modules, including Pi paired with an NPU accelerator where the SoC alone isn't enough. Also: Hailo, Coral Edge TPU, OpenVINO targets, other ARM SBCs, and small x86 plus discrete GPU edge boxes. On a platform I haven't measured yet, the approach is identical. The methodology is platform-neutral; the numbers never are. Experience tells me where to look, your hardware tells me what's true. Real-time detection, tracking and perception on optical and thermal (EO/IR) imagery. Offline and connectivity-denied deployments, SWaP-constrained systems, air-gapped and regulated environments. I test on real edge hardware, so I catch what cloud-only engineers miss: thermal throttling after twenty minutes in an enclosure, brownouts under inference load, preprocessing mismatches that silently cost accuracy, engines that don't transfer between machines. ▪️ RECENT CLIENT WORK ✅ Assessed an edge vision system before a 10-to-100+ unit rollout, identifying production risks that would have surfaced as field failures across the fleet ✅ Audited a PyTorch/C++ inference pipeline on embedded hardware and isolated the real bottleneck, which was not where the team had been optimising ✅ Defined the production architecture and MLOps roadmap for a new AI product, including the hardware decision ▪️ HOW I WORK I treat your project as an engineering problem: clear about what's achievable, honest about trade-offs, and specific about what I measured versus what I estimated. If something won't work on your hardware, you'll hear it early, and that is usually worth more than the work itself. Every engagement ships with its evidence: the raw measurements, the conditions they were taken under, and what I could not measure. You should be able to check my numbers, not just trust them. For larger engagements I scale delivery with a small specialist team, and can contract through our UK affiliate where a UK entity is required. 🛠️ Tools: PyTorch, TensorRT, ONNX, RKNN, CUDA, C++, OpenCV, NVIDIA Jetson, Rockchip RK3588, Raspberry Pi, Embedded Linux, Python, Docker If you're scaling a vision system, choosing hardware for a deployment, or holding a benchmark table that doesn't look right, tell me the workload and the target hardware and I'll tell you what I'd measure first.

I build mobile products that power real business — from customer orders and payments to bookings, deliveries, marketplaces and daily operations. I’ve delivered **40+ React Native and Flutter apps** across eCommerce, healthcare, delivery, taxi, marketplaces, real estate, fitness, education and business platforms. My role goes beyond writing mobile code. I take ownership from architecture and development to integrations, testing and production launch, so you have one accountable developer who understands both the app and the business workflow behind it. 🛠️ What I Help Businesses Build eCommerce & marketplace apps with products, checkout, payments and order management On-demand & delivery apps with GPS, live tracking, driver workflows and real-time updates Booking & service apps for taxis, appointments and location-based services Business & POS apps for orders, operations and customer workflows Healthcare & AI apps with chat, AI integrations, reports and location-based services Consumer apps for fitness, education, communities and subscriptions Existing mobile products that need new features, performance improvements or technical cleanup 🚀 Real Products I’ve Delivered Glotelho — eCommerce Production eCommerce app with product discovery, cart, checkout, order tracking and push notifications. Delivery Driver — Delivery Operations Driver app with real-time order acceptance, GPS navigation, delivery status and earnings tracking. YOURTAXI — On-Demand Mobility Taxi booking app with driver tracking, fixed-price rides, digital payments and airport support. HealthGPT — Healthcare + AI AI-powered healthcare app with symptom checking, medical chatbot, report scanning and nearby healthcare services. Asan Billing — Restaurant Operations POS app supporting takeaway, dine-in, online orders, real-time order management and custom deals. Listed & Miltrade — Real Estate + Marketplace Property discovery, maps, advanced filtering, alerts, listings, buying/selling and community functionality. 🤝 Why Clients Work With Me You get a product-focused developer, not someone who only completes tickets. I think about: The user — Is the workflow simple and reliable? The business — Does the app support the actual operation? The technology — Can it handle new users, features and integrations? The launch — Is it tested and ready for real customers? I can handle the mobile side from: Idea / Figma → Architecture → Development → Integrations → Testing → App Store & Google Play → Post-launch improvements 🔧 Core Stack React Native · Expo · Flutter · TypeScript · Dart · Firebase · Node.js · REST APIs · Stripe · Google Maps · Twilio 🎯 Best Fit I’m a strong fit when the mobile app is an important part of the business — whether you’re: * Launching a new product * Building an MVP with a path to production * Replacing a manual business workflow * Taking over an existing React Native or Flutter app * Adding payments, subscriptions, maps or real-time features * Fixing performance and reliability problems * Scaling an existing mobile product If your mobile app is going to be used by real customers or run an important part of your business, I can take ownership of the mobile product and help you get it from where it is today to production. 40+ apps delivered. Real-world products. One accountable mobile product partner.

Senior AI Engineer with 5+ years of experience building production-grade AI solutions, enterprise web applications, and cloud infrastructure on AWS. I help businesses move beyond AI prototypes to reliable, scalable systems that deliver measurable results. My work spans the complete engineering lifecycle — from requirements analysis and system architecture to development, deployment, and production support. I specialize in integrating large language models into real business workflows, backed by strong full-stack and DevOps foundations that ensure the entire system, not just the AI layer, performs at scale. What I Do AI Engineering: LLM integration (OpenAI, ChatGPT), LangChain, RAG pipelines, AI workflow automation, intelligent system design Full Stack Development: React, Next.js, Node.js, Python, Express.js, MongoDB, REST APIs (MERN/MEAN) Cloud & DevOps: AWS (CDK, Lambda, EC2, SES, SNS), Docker, CI/CD pipelines, infrastructure design and deployment Why Clients Work With Me Production mindset: I build AI systems designed for reliability, security, and maintainability — not demos that break under real usage End-to-end ownership: from business requirements to deployed, monitored production environments Clear communication: I explain technical decisions in terms both engineers and stakeholders understand Proven delivery: a consistent record of shipping complex projects on time, across multiple industries If you need an engineer who can design, build, and ship AI-powered products end to end — let's talk.

Are you looking to build production-ready AI applications, automated agent workflows, or scalable full-stack platforms? I am a senior AI Research Engineer and Full-Stack Developer holding an M.Eng. in Electrical Engineering. I specialize in bridging the gap between cutting-edge Machine Learning research and robust, production-grade software architecture. With a 100% Job Success Score, I help startups and enterprises deploy intelligent systems that drive real business value. My Core Expertise Includes:🚀 GenAI & LLM Architecture: Building advanced Multi-Agent frameworks, custom RAG (Retrieval-Augmented Generation) pipelines, and prompt engineering using OpenAI, Gemini, and Claude. 💻 Full-Stack Development: Designing high-performance backends and web applications using Python, Django, FastAPI, and MySQL/PostgreSQL. 🤖 Machine Learning & Data Science: Predictive modeling, data mining, and custom algorithm development using Scikit-Learn and PyTorch. 📱 Cross-Platform Apps: Rapid deployment of mobile solutions utilizing modern frameworks. Why Work With Me? Architectural Precision: As a trained engineer, I don't just write code; I design systems optimized for cost, speed, and strict data security. Production-First Mindset: I specialize in taking raw AI concepts and turning them into stable, deployed applications with seamless API integrations. Clear, Proactive Communication: I work closely with your team to ensure timelines are met and technical complexities are translated into clear business milestones. Let’s turn your vision into a scalable, intelligent product. Click "Invite to Job" to discuss your project requirements today.

Hello! I am a dedicated software developer combining a rigorous Computer Science background with hands on expertise in AI, backend development, and data engineering. I don't just write code. I build robust, scalable systems that solve real business problems and save you time. My Technical Expertise Includes: AI & Machine Learning: Smart AI Chatbots: Developing custom RAG-based assistants using LangChain and Hugging Face to chat with your PDFs and company documents. Computer Vision: Training and deploying custom Object Detection models (like YOLO) for real-world applications. Software & Automation: Python Automation: Creating efficient scripts for web scraping, task automation, and workflow optimization. Backend & API Development: Designing structured databases (MongoDB, SQL) and building seamless API integrations. Custom Applications: Developing utility/moderation bots and robust Java applications. Data Visualization: Tableau Dashboards: Designing interactive, stunning dashboards that translate complex datasets into clear KPIs and business trends. I pride myself on writing clean, well commented code and delivering projects on time. Send me a message, and let's discuss how we can bring your project to life!