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

I help startups and executives ship production AI agent systems, multi-agent orchestration, RAG pipelines, and LLM automation with Claude Code, OpenClaw, Hermes, and n8n orchestration | 40+ projects | 100% Job Success. ✅ Top Rated Plus — Top 1% of AI Specialists & ML Engineers on Upwork ✅ Founder & CEO of TensorFold.ai | Lead AI Engineer at Origin Studios ✅ Published AI researcher (LLM reasoning & structured prompting) ✅ Working alongside senior engineers from NASA, Apple, Harvard & Warner Records WHAT I BUILD 🤖 OPENCLAW & CLAUDE AGENT EXTRACTION (12+ Projects) I build, optimise, and secure elite agentic environments. Most production setups bleed $100+/month because skills bloat tokens, secrets sit in markdown files, and memory drifts across sessions. I fix all three: - FRAMEWORK & MODELS**: Expert deployment of OpenClaw, NanoClaw, NemoClaw, and the Hermes Agent stack. - COST & TOKEN Optimisation: Hardened SKILL.md, compacted context windows, and vaulted credentials via OneCLI to slice monthly API costs by 40–70%. - OMNICHANNEL AGENT Routing: Seamlessly wiring autonomous agents across WhatsApp, Telegram, Discord, Slack, Signal, and iMessage. 📚 RAG & Knowledge Systems — multi-source RAG, hybrid search, knowledge graphs, document pipelines with Weaviate, Pinecone, Qdrant, FAISS, pgvector 🧠 LLM Engineering — GPT-4/5, Claude, Gemini, LLaMA, Mistral; fine-tuning with PEFT (LoRA, QLoRA), LLM evaluation, prompt optimisation, cost/latency tuning ⚙️ AI Automation & Backends — FastAPI production APIs (auth, streaming, logging), n8n and workflow automation, email/CRM/Slack integrations ☁️ Cloud & MLOps — GCP (Vertex AI, Cloud Run, BigQuery), Azure (AI Studio, Functions), Docker, CI/CD RECENT RESULTS 🎵 AI transformation for a major US record label — automated label management, A&R workflows, and executive communications end-to-end, turning a fully manual operation into an AI-first organisation. 🧑‍💼 Agentic AI "chief of staff" systems for two senior entertainment & investment executives — unified calendars, email, deal flow, and reporting into a single AI-powered command center running on autopilot. 🚗 End-to-end ETL + AI insights platform for the US automotive market — processing 6M+ records daily from 18,000 dealerships, taming extreme data noise and anomalies into decision-ready dashboards for dealership owners. 🚀 REVOPS 360 (idea → funded MVP) — built the entire GenAI layer for a B2B RevOps platform: lead-gen agents, campaign creators, pitch generators, and LinkedIn assistants with 20+ modular tools and LLM routing logic. Now entering VC phase. 🏆 Resume Matcher (NLP) — transformer-based candidate shortlisting that cut hiring time by 70%. HOW I WORK 1️⃣ Free scoping call → clear proposal with milestones and acceptance criteria 2️⃣ Sprint-based delivery with demos every cycle — you see progress, not promises 3️⃣ Production handoff: documentation, deployment, and post-launch support I respond within a few business hours (CET, overlap with US mornings), communicate in fluent English, and stick around after launch to improve what we ship. EXPERIENCE SNAPSHOT (5+ years) 🏢 Founder & CEO — TensorFold.ai (AI product & consulting company) 🤖 Lead AI Engineer — Origin Studios (agentic mesh systems & multi-agent orchestration for enterprise and entertainment clients) 🧠 ML Engineer — DFKI (German Research Center for Artificial Intelligence) 📊 Research Assistant — NYU Tandon School of Engineering (large-scale NLP on millions of Amazon products) 🌍 Generative AI Engineer — Eriko AI | ML Engineer — Ezy-AI | Consultant — Systems Limited 🏆 Top Rated Plus on Upwork since 2022 — 40+ projects, 100% client satisfaction 🎓 M.Sc. Computer Science (AI), RPTU Kaiserslautern-Landau, Germany 📄 Published researcher — LLM reasoning & structured prompting (large-scale experiments across multiple frontier models) Let's turn your AI idea into a working, revenue-driving product. 📬 Message me — I'll reply with a concrete plan, not a sales pitch.

🚀 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 | 𝟭𝟲 𝗬𝗲𝗮𝗿𝘀 | $𝟭.𝟰𝗠+ 𝗘𝗮𝗿𝗻𝗲𝗱 | 𝗛𝗮𝗻𝗱𝘀-𝗢𝗻 𝗘𝘅𝗽𝗲𝗿𝘁 There are engineers who chase the technology, and a rare few who have outlasted every wave of it. After 16 years, 40,000 hours, and $1.4M+ delivered, I no longer count projects. I count the businesses that cannot run without what I built. AI did not make me an expert. It arrived to find one already here. The line between intelligence that impresses and intelligence you can trust is everything, and trust is what I build. AI Solutions Architect specializing in LLM, RAG, and AI agent systems, wired into the enterprise stacks your business already runs on. 🏅 Top Rated Plus on Upwork | 16 Years Experience | 40,000+ Hours 🏅 AI Solutions Architect | LLM Applications | Generative AI | Agentic Workflows 🏅 Production AI for startups, funded companies, and enterprise teams 🏅 Domains: Healthcare (HIPAA, HL7, EHR/EMR), Construction Tech, EdTech, SaaS 🏅 Expert in Python, OpenAI, Claude, LangChain, LangGraph, AWS, Azure, .NET, SQL Most freelancers can build an AI demo. Few can put that AI into a real production system without breaking it. That is the gap I fill: I take AI from idea to deployment, wired into the .NET and enterprise systems your business already runs on. 🔹 𝗟𝗟𝗠 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 ✔ AI copilots and assistants ✔ Document intelligence and summarization engines ✔ Enterprise search and Q&A systems ✔ RAG knowledge retrieval platforms ✔ Workflow automation platforms 🔹 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 ✔ Multi-agent systems (LangChain, LangGraph, CrewAI, AutoGen) ✔ AI automation with OpenAI, Claude, n8n, Make, Zapier ✔ Voice AI agents for calls and support (Vapi, Retell AI, Twilio, Deepgram) ✔ Document processing pipelines ✔ CRM/ERP integration (Salesforce, HubSpot, Dynamics) 🔹 𝗥𝗔𝗚 & 𝗟𝗟𝗠 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 ✔ Multi-source RAG with vector databases (Pinecone, Weaviate, Qdrant) ✔ LLM fine-tuning (PEFT, LoRA, QLoRA) and prompt engineering ✔ Production AI APIs with auth, logging, and streaming (FastAPI) ✔ Open and closed models: GPT, Claude, Gemini, Llama, Mistral 🔹 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 My 16-year foundation is what makes the AI hold up in production: ✔ Backend: .NET / ASP.NET Core, C#, Python, Node.js, NestJS ✔ Frontend: React, Angular, Next.js, TypeScript ✔ Cloud & DevOps: Azure, AWS, AWS Bedrock, Docker, Kubernetes, CI/CD ✔ Data: SQL Server, PostgreSQL, MongoDB, Redis ✔ Security & compliance: SOC 2, HIPAA, GDPR, PII/PHI/PCI redaction 💼 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 ✔ 𝗖𝗼𝗻𝘃𝗼𝗦𝗲𝗻𝘀𝗲 𝗔𝗜: Enterprise Conversation Intelligence Platform An AI platform that analyzes 100% of business calls, where manual review catches under 5%. It delivers 99%+ transcription accuracy across 50+ languages, real-time sentiment analysis, automated compliance monitoring with PII/PHI/PCI detection and redaction, BANT lead scoring, agent performance scoring, and a white-label chat assistant that embeds in one line of code. Stack: OpenAI, LLMs, Speech-to-Text, NLP, RAG, Vector Databases, Agentic Workflows, Python, .NET Core, Azure AI Services, Built SOC 2 Type II, HIPAA, and GDPR compliant. 🏆 𝗢𝘁𝗵𝗲𝗿 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 🏆 𝗥𝗘𝗜𝗗 𝗛𝗲𝗮𝗹𝘁𝗵: Built an AI-driven healthcare ecosystem with intelligent document processing, workflow automation, healthcare knowledge retrieval, patient engagement automation, and secure AI-assisted decision support, powered by LLMs and cloud-native architecture, for a regional health system serving seven counties and 80+ locations across Indiana and Ohio. 🏆 𝗖𝗮𝗹𝗶𝗺𝗮𝘁𝗶𝗰 𝗟𝗠𝗦: Engineered a white-label, multi-tenant education platform with AI-powered content discovery, semantic search, recommendation engines, analytics, and workflow automation. The platform serves 500+ learning centers across multiple countries, has processed $50M+ in tuition, and handles 100K+ monthly enrollments. 🏆 𝗣𝗿𝗼𝗷𝘂𝗹: Architected intelligent workflow automation, document intelligence, predictive project tracking, AI-assisted estimating, and operational analytics into a construction management SaaS trusted by 5,000+ contractors, with 300,000+ projects managed on the platform across North America. 🔥 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗛𝗶𝗿𝗲 𝗠𝗲 ✔ 16 years of production delivery, not just AI demos ✔ AI tied to business outcomes that save time and convert users ✔ Full pipeline: architecture, fine-tuning, RAG, deployment, MLOps ✔ Clear communication and long-term ownership, from architecture to support 📬 𝗟𝗲𝘁'𝘀 𝗧𝗮𝗹𝗸 The best projects start with a clear problem, not a long spec. Tell me what you are building, where it is stuck, and what success looks like. I will come back with a straight answer and a real plan. Trust is what I build. Let's start. Syed

Most computer vision projects fail not in training — but in deployment. Models that hit 95% accuracy in the lab break down when lighting shifts, hardware stutters, or the camera feed isn't clean. I build systems engineered to survive those conditions — and I've done it across industries, hardware platforms, and deployment environments. I'm a Computer Vision Engineer specializing in end-to-end AI pipelines — from raw camera input to real-time inference, deployed on edge hardware, cloud APIs, or both. ━━ Core services ━━ → Object detection & multi-object tracking — YOLOv8, YOLOv5, ByteTrack, BOTSort, MMDetection → Segmentation, pose estimation & keypoints — MediaPipe, custom model architectures → Edge AI deployment — NVIDIA Jetson Orin/Nano, Raspberry Pi, Hailo — TensorRT, ONNX, INT8/FP16 → Cloud & API deployment — FastAPI, Docker, AWS GPU instances, REST & WebSocket inference APIs → Video analytics & smart camera systems — safety monitoring, defect detection, zone tracking, people counting ━━ Systems I've shipped ━━ ✓ Real-time fall detection on NVIDIA Jetson — production-deployed, sub-100ms latency ✓ Zone-based people tracking & monitoring for safety-critical environments ✓ Industrial defect detection pipeline — TensorRT-optimized, running on constrained edge hardware ✓ End-to-end smart camera system: camera → inference → dashboard & real-time alerts ✓ OpenCV video analytics pipelines with custom pre/post-processing and business logic ━━ What makes my work different ━━ Most CV engineers deliver a model file. I deliver a working system — optimized, integrated, and running reliably in your environment. I lead a small team and personally own system architecture, optimization strategy, and core AI engineering on every project. You get senior-level technical execution, not delegation to juniors. Edge or cloud. Jetson or GPU server. Prototype or production scale. I've built across all of it. ━━ How a typical project runs ━━ 1. Discovery — review your hardware targets, data sources, and latency requirements before any code is written 2. Architecture — design the full pipeline: model selection, optimization path, deployment stack, integration points 3. Build & optimize — iterative development with benchmarked FPS and accuracy metrics at each stage 4. Deployment — containerized, documented, and running on your target environment 5. Handover — clean codebase, inline documentation, and a session so your team can maintain it independently ━━ Full tech stack ━━ Models: YOLOv8, YOLOv5, YOLOv7, MMDetection, Detectron2, PyTorch, TensorFlow, ONNX Runtime Tracking: ByteTrack, BOTSort, DeepSORT, StrongSORT, custom zone logic & counting algorithms Optimization: TensorRT INT8/FP16, ONNX quantization, model pruning, batch inference tuning Edge hardware: NVIDIA Jetson Orin/Nano, Raspberry Pi 4/5, Hailo-8, Coral TPU Cloud & infra: FastAPI, Flask, Docker, AWS EC2/Lambda, GCP, RTSP/RTMP stream processing Vision utilities: OpenCV, FFmpeg, GStreamer, PIL/Pillow, custom pipeline components ━━ Project types I take on ━━ → Greenfield CV systems — full pipeline from scratch to production deployment → Model optimization — take an existing model and make it production-fast on your hardware → Edge porting — migrate a cloud-based CV system to Jetson, Raspberry Pi, or Hailo → Pipeline debugging — diagnose and fix latency, accuracy, or stability issues in live systems → Inference API — wrap your CV model as a scalable, low-latency REST or WebSocket API → PoC → production — take a working demo and harden it for real-world deployment at scale → Team augmentation — embedded senior CV engineer for sprints or longer-term engagements ━━ Industries served ━━ Manufacturing & quality control — defect detection, visual inspection, production line monitoring Safety & security — real-time threat detection, perimeter monitoring, crowd analytics Retail & logistics — shelf analytics, people counting, queue management, warehouse tracking Healthcare — patient monitoring support systems, lab automation, medical imaging pipelines Agriculture — crop health detection, drone-based aerial inspection, field monitoring systems ━━ Common questions ━━ Work with our existing dataset? Yes — I assess quality, recommend augmentation strategies, and fine-tune models on your labeled data. Edge or cloud deployment? Both — Jetson, Raspberry Pi, and Hailo at the edge; AWS GPU instances and containerized APIs in the cloud. Can you take our prototype to production? That's one of my most common engagements — hardening, optimizing, and deploying existing concepts for real-world reliability. Documentation and handover included? Always. Clean code, inline comments, deployment instructions, and a dedicated handover session on every project. If you need computer vision that performs beyond lab conditions — on real hardware, with real data, in real-world environments — let's talk.

Top-Rated professional with 8+ years of experience in machine learning, deep learning, artificial intelligence, data science, and predictive analytics. I design, train, and deploy production-grade models in natural language processing (NLP), computer vision, reinforcement learning, and retrieval-augmented generation (RAG) using cutting-edge frameworks like PyTorch, TensorFlow, Keras, and Hugging Face Transformers. My strength is delivering end-to-end AI solutions—from data engineering and feature engineering to MLOps and cloud deployment—on AWS SageMaker, Google Cloud Vertex AI, Docker, and Kubernetes. CORE SERVICES • Large Language Model (LLM) Development • Custom GPT-4, GPT-3.5, Llama 3, Mixtral, and open-source transformer fine-tuning • Retrieval-augmented chatbots, question-answering systems, knowledge-base search • Prompt engineering, evaluation, and agentic workflows with LangChain, LangGraph, LlamaIndex, LangFlow • Computer Vision and Multimodal AI • Image classification, object detection, segmentation, OCR, and visual search • Vision-language models, CLIP, BLIP, and multimodal transformers for product recommendation and analytics • YOLO, Detectron2, OpenCV, and TensorRT optimization for edge and cloud • Advanced Machine Learning & Deep Learning • Supervised learning, unsupervised learning, reinforcement learning, semi-supervised learning • Neural networks, CNN, RNN, LSTM, Transformers, BERT, RoBERTa, FastText, XGBoost, LightGBM, CatBoost • Time-series forecasting, anomaly detection, recommender systems, speech recognition, audio processing • End-to-End MLOps and Data Engineering • Data pipelines, ETL, Apache Spark, feature stores, CI/CD, GitHub Actions • Scalable deployment on AWS, GCP, Docker, Kubernetes, serverless functions • Monitoring, drift detection, automated retraining, model registry, and A/B testing IMPACT HIGHLIGHTS • Boosted recommendation accuracy by 22 percentage points with deep collaborative filtering and matrix factorization • Cut inference latency 40 % using GPU optimization, TensorRT, and autoscaling clusters • Reduced cloud costs 30 % through optimized resource allocation and spot instances • Delivered more than 50 production AI projects across e-commerce, fintech, healthcare, and SaaS TECHNICAL STACK Python, SQL, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Keras, Hugging Face Transformers, SpaCy, NLTK, FastText, BERT, RoBERTa, OpenCV, YOLO, Detectron2, CLIP, BLIP, TensorRT, Apache Spark, Docker, Kubernetes, AWS (EC2, S3, SageMaker, Lambda), Google Cloud (Vertex AI, BigQuery, Cloud Functions), Git, GitHub Actions, Tableau, Power BI, Matplotlib, Seaborn, R-Shiny EDUCATION AND CERTIFICATIONS • MSc in Data Science, University of Waterloo (full-merit scholarship). Thesis in multimodal NLP and computer vision • BSc in Computer Science, University of Bradford (Top 1 %, merit scholarship) • 20+ professional certificates: Stanford Deep Learning, Machine Learning and NLP specializations, Google TensorFlow Developer, Google Data Analytics, AWS Certified Machine Learning, Google Cloud Professional Data Engineer WHY HIRE ME • Proven ability to translate complex deep-learning research into scalable cloud solutions that raise accuracy, speed, and ROI • Expertise across the full data lifecycle: data collection, preprocessing, feature engineering, model training, hyperparameter tuning, deployment, monitoring, and maintenance • Clear, prompt communication in English, reliable delivery, and transparent project management using Agile and Scrum Invite me to discuss how we can apply cutting-edge machine learning, deep learning, and AI to solve your business challenges and accelerate growth.

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!