Hire the Best BeamYourScreen Mikogo Specialists

I’m a highly Skilled and Certified IT professional specializing in CCTV installation, maintenance, and 24/7 CCTV remote monitoring. With over 8 years of hands-on experience, I have worked with leading security brands such as HIKVISION, DAHUA, AXIS, UNIVIEW, and HUAWEI to provide customized security solutions that ensure the utmost protection for homes and businesses. My expertise covers the complete lifecycle of CCTV systems, including initial setup, configuration, preventive maintenance, troubleshooting, and live monitoring. I have successfully monitored and supported clients across the globe, including in the United States, United Kingdom, Germany, Australia, Spain, Indonesia, and beyond. Key Highlights: ◆ CCTV configuration and monitoring tailored to your needs. ◆ Continuously monitor for 24 hours. ◆ Immediate response during work hours. ◆ Reporting based on client-specific requirements. ◆ Live streaming, video monitoring, and virtual security guard services. ◆ Playback video analysis and suspicious activity detection. ◆ Surveillance camera frame detection and investigation. ◆ 24/7 live monitoring to detect and address suspicious activity. ◆ Customized reporting and comprehensive ongoing support. I am committed to delivering top-notch security services that provide peace of mind and ensure my clients feel confident in the safety of their properties. Let’s collaborate to create a secure and protected environment tailored to your needs. Message me anytime 🙂 Thanks...........

Hey guys, I am a VFX artist. I am good at handling any complex shots, Green screen removal, Rotoscoping, Wire removal, Match Motion, Solving Camera, etc. If you need any help, I'm your guy! ✅Camera Tracking ✅Rotoscoping ✅Cleanup Artist ✅Compositing ✅Video Editing

I build deterministic AI video pipelines and content generation systems at scale. I specialize in replacing probabilistic model variance with rigid programmatic constraints, utilizing automated ComfyUI graph execution to run open-source models with absolute predictability. ### Featured Case Study: Deterministic Real Estate Video Platform I built and deployed an unsupervised, production-grade video automation pipeline on DigitalOcean that generates consistent clips at $0.39 compute cost. * **VLM Scoring Engine:** Upstream Python backend takes user image uploads and uses GPT Vision to parse spatial layouts into a custom scoring matrix. * **Deterministic Motion Mapping:** The scoring matrix programmatically maps the image to a validated motion profile, completely eliminating geometry hallucination and artificial zoom artifacts. * **Token-Order Prompt Engineering:** A custom prompt generator structures the token sequence by placing dynamic elements first. This forces the model’s cross-attention layers to anchor the scene, neutralizing "zoomish" jitter. * **Negative Prompt Mitigation:** Because models like Seedance, Kling, and Hailuo frequently misinterpret negative tokens, the compiler injects structural "anti-invention" logic directly into the positive prompt space. ### Engineering Hard Problems I Solve at Scale * **Deterministic Graph Automation:** Designing custom ComfyUI workflows optimized for API execution, forcing consistent outputs across thousands of automated runs. * **Open-Source Model Controls:** Eliminating character identity drift by structuring upstream prompt constraints, ControlNet matrices, and custom IP-Adapter configurations. * **Content Generation Scaling:** Structuring end-to-end Python automation loops with native error handling, backoff retry logic, and asynchronous execution queues. * **Aesthetic Threshold Validation:** Deploying automated GPT Vision classification loops to programmatically filter out model failures before delivery. ### Technical Infrastructure Stack * **Graph & Model Orchestration:** ComfyUI (ControlNet / IP-Adapter / custom nodes), FLUX.1 LoRA training, Seedance 2.0, Higgsfield, Hailuo, Kling. * **Infrastructure & Deployment:** Python, FastAPI, DigitalOcean, serverless compute nodes, ElevenLabs ### Production Pipeline Axioms * Elimination of the probabilistic: Same seed and structural inputs must produce identical outputs. * Token-attention control: Prompt structures must be engineered based on how diffusion networks interpret weights, not natural human language. * Autonomous error-handling: Pipeline architecture designed for high throughput and automated failure recovery. If you are scaling an AI video platform or your current ComfyUI API setups are too unpredictable—send over your current graph architecture. I debug the core constraint first.

Hi! I work with image and video data annotation for computer vision projects. I focus on clean, accurate labels and always follow project guidelines carefully. I have experience with bounding boxes, polygons, semantic segmentation, and image masking. I understand how annotation quality affects model performance, so I pay close attention to details and edge cases. Tools I use: CVAT | Roboflow | LabelMe | MakeSense.ai and any other I can quickly adapt to new annotation platforms if needed. If you need a reliable annotator who delivers consistent and well-structured datasets, I’m ready to help. Skills: -Image & Video Annotation -Bounding Boxes -Polygon Annotation -Semantic Segmentation -Image Masking As a competitive and quick learner, I ensure top-notch outputs. Your project deserves the best start, and I’m here to provide it through precise and reliable data annotation.

🔹 Top Rated Machine Learning Engineer | Expert in Detection, Tracking, Classification & OCR I specialize in building high-accuracy computer vision models — from object detection and classification to keypoint detection and OCR. With deep experience in YOLO (v8–v11), TensorFlow, and PyTorch, I’ve delivered results across industries including healthcare, logistics, and agriculture. 🚀 Highlighted Projects: 🔍 License Plate Recognition & Number Swapping — for Korean and Kazakh vehicles 🏥 COVID-19 & Viral Pneumonia Detection — 95%+ accuracy using X-ray images 🍎 Fruit Detection (Apple, Peach, Potato) — precision object detection with YOLO 📄 OCR & Keypoint Detection — paper/card ID localization and tracking 🏎️ Speed Estimation & Vehicle Tracking — model fusion using YOLO + Deep SORT ⚙️ Core Skills & Tools: YOLOv5/v8 | TensorFlow | PyTorch | OpenCV | ONNX Object Detection, Classification, OCR, Keypoint Detection High-speed model training on RTX 4080 Super As a Top Rated freelancer, I deliver clean, efficient, and production-ready models on time and with clear communication. Let’s bring your vision to life. 📩 Message me — I respond quickly and build fast.

Robots that don't know where they are, can't navigate reliably, or fail when moved from simulation to real hardware — these are the problems I solve. I specialise in the full autonomy stack for mobile robots: LiDAR and Visual SLAM for mapping and localisation, Nav2 configuration and tuning for reliable navigation, multi-robot simulation across Gazebo Classic, Gazebo Harmonic, and Isaac Sim, and perception pipelines for detection and scene understanding. My background is Computer Engineering with an MSc in AI — I work equally well on research platforms and production deployments. WHAT CLIENTS TYPICALLY HIRE ME FOR ☑ SLAM that doesn't drift — LiDAR-inertial (solid-state and mechanical), RGB-D, monocular, and visual-inertial pipelines on real hardware ☑ Nav2 that actually works — Ackermann, differential-drive, and tracked robots, including the failure modes that generic tutorials don't cover ☑ Multi-robot simulation — namespace isolation, TF management, QoS configuration for 5-10 robot systems across Gazebo Classic, Harmonic, and Isaac Sim ☑ Perception integration — real-time object detection, point cloud segmentation, thermal inspection, published as ROS 2 topics for downstream use ☑ Sensor fusion — EKF tuning, IMU characterisation, LiDAR-camera extrinsic calibration ☑ Consulting and technical advisory — architecture review, root cause diagnosis, and implementation roadmaps for SLAM, navigation, and simulation projects HARDWARE I HAVE WORKED WITH DIRECTLY ☑ Unitree L2 solid-state LiDAR ☑ Intel RealSense RGB-D camera ☑ FLIR AX8 thermal camera ☑ RPLiDAR A-series (2D mechanical LiDAR) TRACK RECORD 100% Job Success Score. 5-star reviews on all completed contracts. HOW I WORK I take fixed-price and hourly contracts. Before starting any project I ask the questions that prevent wasted weeks — what sensor, what environment, what the failure looks like, and what the real constraint is. That diagnostic step is usually where the value is. I also take consulting engagements alongside implementation work — architecture review, root cause diagnosis, and technical direction for anyone who needs an outside perspective on why something is not working.