Hire the Best Pattern Recognition Specialists

I build production-grade agentic AI systems — multi-agent pipelines, enterprise RAG platforms, and end-to-end LLM-powered products that actually ship. My recent work includes: A 10-node LangGraph RAG platform (NexusIQ) that unifies Confluence, Slack, Jira, Google Drive, and PDFs with hybrid vector + BM25 retrieval, cross-encoder reranking, and a hallucination guard — all under 2 seconds end-to-end. An autonomous B2B SDR agent, that handles lead discovery, qualification scoring, and personalised email drafting with human-in-the-loop approval via checkpointed LangGraph state machines. A real-time Pakistan Sign Language recognition system (D-VOICE) achieving 98.25% test accuracy using a hybrid TCN+Transformer model on MediaPipe landmarks — full-stack, live inference, deployed. A fully autonomous visual novel video generator that converts a natural-language prompt into a 60 second cinematic video via 4 specialised LangGraph agents — 66/66 tests passing. What I bring to your project: → Deep LangGraph expertise: state machines, interrupts, checkpointers, multi-agent coordination → Production RAG: hybrid dense + sparse retrieval, RRF fusion, reranking, hallucination detection → Full-stack delivery: FastAPI backends, React/Next.js frontends, PostgreSQL/MongoDB, Docker → Automation & no-code: n8n, Make, and Zapier for workflow automation and API integrations — useful when you need fast turnaround without custom code → Cloud: AWS experience (EC2, S3, Lambda) for deployment and infrastructure → Clean, documented code with real test coverage not just demos I'm a CS graduate, I work like a senior engineer: I scope projects carefully, communicate proactively, and deliver systems that hold up in production not just prototypes. If you're building an AI agent, a RAG system, an LLM-powered product, or need to automate workflows with n8n/Make/Zapier — or just need someone to turn a complex idea into working software, let's talk.

I build real-time AI systems that detect threats, track objects, and turn video into actionable insights ready for real-world deployment. If you need a reliable Computer Vision solution (not just a demo), I can design, train, and deploy it end-to-end. 🎯 What I Do I specialize in building production-ready Computer Vision systems that work in real environments not just controlled demos. From surveillance and safety to traffic analytics and automation, I help businesses turn video data into practical, usable intelligence. 🔧 Solutions I Build ✔ Real-Time Object Detection (YOLOv8 / YOLO11) ✔ Multi-Object Tracking (ByteTrack, DeepSORT) ✔ Surveillance & Threat Detection Systems ✔ Fire & Smoke Detection ✔ PPE / Safety Compliance Monitoring ✔ Traffic Monitoring & Speed Estimation ✔ OCR & Document AI ✔ End-to-End AI Systems (Data → Training → Deployment) 🧠 Why Clients Choose Me Most freelancers stop at training a model. I go further — I build complete systems that actually work in production. ✔ Optimized for real-time performance (high FPS, low latency) ✔ Designed for real-world conditions (low light, fog, motion blur) ✔ Strong focus on data quality & annotation (where most projects fail) ✔ Clean, scalable, deployment-ready code 💡 Most Computer Vision models fail outside the lab — I make sure yours doesn’t. 📊 Selected Projects 🔫 Real-Time Weapon Detection & Tracking AI-powered surveillance system for detecting and tracking firearms in live video streams → Helps improve security response time and monitoring 🔥 Real-Time Fire & Smoke Detection (107 FPS) Early hazard detection system designed for fast response in critical environments → Detects fire/smoke in real-time to reduce risk and damage 🦺 Construction Safety Monitoring (PPE Detection) Helmet detection system with live violation alerts → Improves worker safety and compliance on-site 🚗 Vehicle Speed Estimation System Tracking-based system for real-time speed analysis from video → Useful for traffic monitoring and smart city solutions ⚙️ Tech Stack AI / Deep Learning: PyTorch, YOLO (v8, v11), TensorFlow Computer Vision: OpenCV, real-time video processing pipelines Tracking: ByteTrack, DeepSORT Deployment: FastAPI, Flask, Docker, GPU acceleration Language: Python 🎬 What You Can Expect ✔ Demo available before starting ✔ Clean, well-documented code ✔ Fast communication & regular updates ✔ Scalable solutions ready for deployment ✔ Support with real-world challenges (lighting, motion, noise) 💡 How I Work I follow a complete pipeline: Data Collection → Annotation → Training → Optimization → Deployment You don’t just get a model you get a working system ready to use. 📩 Let’s Build Something Real Have an idea or project in mind? 👉 Send me a message I’ll break down the best approach and can even share a quick demo or plan before you commit.

I am not just an AI Engineer; I am a storyteller who connects the dots between complex data and business growth. With 5 years of hands-on experience and a robust academic foundation in Statistics and Engineering, I specialize in building AI systems that don't just work they innovate. Why work with me? I don’t just deliver code; I translate your high-level business needs into high-performing, production-ready AI systems that solve real-world bottlenecks. My Core Expertise: - AI Solutions: Text analysis & image recognition - AI Search: Smarter answers with RAG & advanced prompt design - Custom AI Models: Tailored GPT, Gemini, LLaMA, Claude & more - Vibe Coding: Cursor, Lovable, Antigravity, etc.. - AI Workflows: Multi-agent automation for complex tasks - Voice AI: Text-to-speech & speech-to-text (AWS, Google, Azure) - AI Visuals: From idea to image using DALL·E, Midjourney, Stable Diffusion - Automation: Zapier, Make, n8n & custom workflows - Smart Pipelines: Event-driven triggers, error handling & smooth operations AI Agents & Chatbots: I build sophisticated multi-agent and RAG frameworks. Examples include E-commerce virtual associates that drive sales and POS customer support agents that handle complex queries autonomously. Text-to-SQL & Analytics: I enable non-technical users to "talk to their data," providing instant, natural-language insights into sales, inventory, and KPIs. Intelligent Automation (n8n): I streamline operations by eliminating repetitive tasks. My AI-powered HR Agent workflow automatically parses, scores, and ranks candidates to find your "best fit" instantly. Computer Vision & OCR: Expert in YOLO and Qwen2.5-VL. I automate data entry from handwritten or digital invoices directly into structured JSON for accounting and inventory software. Full-Stack AI Deployment: I take models from notebooks to production. Expert in the full AI lifecycle, including MLOps, containerization (Docker), and scalable cloud deployment on GCP. The Toolbox: Frameworks: PyTorch, Keras, TensorFlow, Scikit-learn, OpenCV. LLM Ops & Orchestration: LangChain, LangFlow, DSPy, OpenAI API, Apple MLX. Deployment: Docker, GCP, MLOps pipelines. I am dedicated to delivering results that exceed expectations always on time and within budget. Let’s build your success story. Click the 'Invite' button to start a conversation!

Do you have an AI vision that needs to become a real, working product? I don't just build models; I engineer complete, scalable solutions that turn data into actionable insights and automation. For over five years, I've specialized in bridging the gap between cutting-edge Artificial Intelligence (AI) research and robust software that delivers real-world value. My core expertise lies in computer vision and machine learning, but my skill set is full-stack. This means I can own your project from the initial data pipeline, through model training and optimization, all the way to deploying a polished desktop application or a secure enterprise API. I thrive on building tools that work seamlessly for end-users, whether it's a retail manager, a traffic controller, or a sports coach. My strongest suit is developing intelligent systems that "see" and understand the world. I've built a retail analytics platform (CrowdIQ) that transforms standard CCTV into a source of business intelligence, tracking customer demographics and behavior. In the sports domain, I created PadelIQ, an analytics engine that uses computer vision to track player movement, posture, and court coverage from match footage, providing real-time coaching feedback. For public safety, I developed a traffic management system (OmniRoad AI) using advanced object detection for real-time accident and congestion monitoring. Beyond computer vision, I architect full-scale data science pipelines. A prime example is my telecom churn prediction project, where I built a machine learning model to identify at-risk customers and paired it with an interactive Power BI dashboard. This end-to-end approach—from data analysis to a clear visualization of insights—ensures the model's findings directly inform business strategy and retention actions. I also develop the tools and infrastructure that power AI applications. I've built secure, enterprise-grade systems like DevelmoGPT, a RAG-based LLM that allows for secure, semantic search over private company documents. From creating simple utilities like PDF-to-audio converters to designing complex role-based access systems, I ensure the foundation of any AI solution is reliable, secure, and maintainable. My process is collaborative and results-driven. I start by deeply understanding your business problem, not just the technical requirement. We'll then iterate through prototyping, development, and testing to ensure the final product not only meets specs but also delivers tangible ROI. I communicate clearly at every stage, providing demos and documentation so you're never in the dark. Let's connect. Share your project idea or challenge, and I'll provide a clear outline of how we can leverage AI, machine learning, or computer vision to build your intelligent solution. Click the invite button to start the conversation. /// The following is just for SEO. You can ignore it /// #computer vision #computer vision engineer #computer vision OpenCV #machine learning computer vision #deep learning computer vision #computer vision machine learning #machine learning python #nlp machine learning

With 5+ years of experience and 150+ successful projects, I help businesses build high-performance Computer Vision and AI Agent systems that work in production — not just in theory. 🚀 What I Build ✔ AI Agents & Automation Pipelines (OpenClaw, LangChain, CrewAI, AutoGen) ✔ Semantic Search & RAG Systems using vector databases (FAISS, pgvector, OpenSearch) ✔ Personal AI Assistants with persistent memory & full system access ✔ Object Detection & Multi-Object Tracking (YOLO26, YOLOv12, YOLO11, YOLOv8, DeepSORT, ByteTrack, BOT-SORT) ✔ Real-Time Video Analytics & Surveillance Systems ✔ Face Recognition & Liveness Detection ✔ Image Segmentation (U-Net, DeepLabV3+, Semantic & Instance) ✔ OCR & Document AI (Tesseract, Google Document AI, PaddleOCR) ✔ Industrial Defect Detection & Quality Control ✔ Medical Image Analysis ✔ Traffic & Vehicle Detection Systems ✔ Retail Analytics & Customer Behavior Tracking ✔ Edge AI Deployment (Jetson, TensorRT, CUDA, Docker, AWS) ✔ Model Optimization (FPS, latency, memory efficiency) ⚡ What I Deliver ✔ End-to-end AI systems (data pipelines → model serving → deployment → monitoring) ✔ LLM and AI agent architectures (RAG, tool use, function calling, multi-agent workflows) ✔ Semantic search and vector database solutions (OpenSearch, FAISS, pgvector) ✔ Real-time computer vision systems (detection, classification, tracking, segmentation) ✔ Custom YOLO model training on your own dataset (YOLOv8, YOLO11, YOLO26) ✔ Multi-camera surveillance & smart monitoring systems ✔ Video analytics pipelines with real-time alerting & reporting ✔ Scalable AI infrastructure on AWS (SageMaker, EKS, Lambda, EC2) ✔ Production-grade APIs and backend services ✔ Optimization of existing AI systems (lower latency, reduced cloud costs, improved reliability) 🧠 Core Expertise Computer Vision · AI Agents · OpenClaw · Deep Learning · Machine Learning · Object Detection · Multi-Object Tracking · Image Segmentation · Real-Time AI · Video Analytics · OCR · Data Annotation · Edge AI · Generative AI · LLM Integration · RAG Systems 🛠 Tech Stack AI & Vision: PyTorch · TensorFlow · Keras · OpenCV · MediaPipe · YOLO variants · Faster R-CNN · Vision Transformers AI Agents: OpenClaw · LangChain · CrewAI · AutoGen · RAG · LLMs · GPT-4 · Gemini Tracking & Optimization: DeepSORT · ByteTrack · BOT-SORT · TensorRT · CUDA Backend & Deployment: FastAPI · Flask · Docker · AWS · Jetson · REST APIs 🌍 Industries I Serve Retail · Security & Surveillance · Healthcare & Medical · Industrial & Manufacturing · Traffic Management · Smart Cities · Agriculture · Sports Analytics 💡 Why 150+ Clients Chose Me ✔ 100% Job Success Score — Top Rated on Upwork ✔ 5+ years delivering real-world AI systems ✔ Production-ready, scalable solutions ✔ Strong optimization — high FPS, low latency ✔ Clear communication & on-time delivery 📩 Let's Work Together Looking to build a Computer Vision system, AI Agent, Object Detection model, or Real-Time AI solution? 👉 Message me now — I'll help you design the best approach and deliver a scalable, production-ready solution fast.

Specialized in custom AI pipelines: character LoRAs, virtual try-on systems, and identity-preservation engines. Built for AI influencers, startups, YouTube creators, and brands that need consistency across thousands of frames — not generic tools that break on the hard cases. Perfect 5.0 rating across every closed project, 30+ production LoRAs deployed, full handover of files and workflows so you fully own what I build. 🚀 CORE SERVICES ● AI Influencer & Character Engines — full identity + style + scene pipeline. Consistent character across thousands of frames, multiple poses, lighting setups, and editorial scenes. ● Virtual Try-On Pipelines — photo-real garment swap for bridal, fashion, and e-commerce. Custom-built, preserves lace, 3D appliqué, sheer mesh, and accessories where IDM-VTON or CatVTON break. ● Custom Character & Style LoRAs — trained for AI influencers, animation studios, and illustrators wanting their drawing style replicated at production scale. ● ComfyUI Pipelines: Advanced workflows using IP-Adapter,Redux,ControlNet, PuLID. 🛠️ TECHNICAL STACK (depth across the stack, picked per project) ● Diffusion: Flux Klein, Flux.dev, Qwen Image 2512, Z-Image, SDXL, ● Identity / Character/ Style: native LoRA training, Flux, Qwen, Wan, Z-Image and ect. ● Video: Wan 2.2, LTX-V2,Seedance 2.0,Kling ● LLM / VLM: Qwen2.5-VL, Qwen3-VL, Florence-2 ● Segmentation: SAM3, Grounded-SAM ● Training: ai-toolkit, kohya ● Face-aware 4K upscale + restoration chains 💡 THE EDGE 6 years as a professional tattoo artist before AI. The hand-drawn anatomy training catches AI glitches in hands, limbs, faces, and proportions that most pure-engineer freelancers miss. Production-grade identity preservation, not approximations. 🖌️ PREMIUM TATTOO (BY REQUEST) Selective custom tattoo work for $300+ projects only. Studio-quality designs, anatomy-correct, stencil-ready output. Not my main service — but the door is open if you've seen my tattoo portfolio and want a piece. WHAT YOU GET Final .safetensors files, ComfyUI workflows, and full documentation — yours to run on your own infrastructure. No model lock-in, no recurring license fees. Production-ready from day one.