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Custom-trained AI vision systems that detect manufacturing defects, count warehouse stock, protect retail floors from theft, and inspect garments for fabric flaws built for industrial buyers who need a vision model that actually works on their data, not a generic demo. I work with the Brainy Neurals team as the model-builder for industry-applied computer vision. My focus is the layer between "we have cameras" and "we have actionable detection" collecting the dataset, annotating it, training the model, evaluating it against real production conditions, shipping it as a working system. WHAT I BUILD Defect detection and quality inspection surface scratches, weld defects, packaging flaws, print errors, missing components, assembly mis-orientations, fabric defects, garment inspection. Custom-trained YOLO and segmentation models on your production images, evaluated on the edge cases that matter for your defect distribution. Retail analytics and loss prevention footfall counting, dwell-time heatmaps, queue analytics, planogram compliance, shelf-out detection, theft and shoplifting detection, restricted-zone intrusion, customer journey mapping. Runs on existing store cameras. Warehouse and logistics vision pallet counting, dock monitoring, SKU recognition, package counting on conveyors, forklift safety zones, PPE compliance (helmet, vest, gloves, harness), worker fall detection. Reduces shrinkage, audit exposure, safety incidents. Textile and apparel inspection fabric defect detection across woven, knit, and non-woven materials. Holes, stains, weave faults, print misregistration, colour variation, missing stitches, garment QC at finishing. Sports analytics player tracking with persistent IDs, ball detection, action recognition (shots, passes, fouls, rebounds), zone-aware scoring, jersey-digit recognition, highlight clips. Healthcare and patient safety fall detection in wards and assisted living, gait analysis, hand hygiene compliance, bed occupancy, restricted-area monitoring. Pose-based detection without face recognition where regulation requires. THE STACK I USE YOLOv11 and YOLOv12 when throughput matters; RT-DETR and Mask R-CNN when precision matters more than speed; SAM and Grounding DINO when datasets are small and zero-shot bootstrapping helps. Tracking is ByteTrack or DeepSORT depending on occlusion. Pose uses MediaPipe and custom keypoints. Foundation: PyTorch, OpenCV, ultralytics, timm, albumentations. Annotation and dataset work is where most CV projects quietly fail. I work with Roboflow, Label Studio, CVAT, and build custom tooling when off-the-shelf options corrupt formats. Datasets version-controlled. Edge cases sampled deliberately. Class imbalance handled with focal loss, augmentation, or class-aware sampling. Evaluation goes beyond mAP. I report precision, recall, F1, confusion matrices on rare classes, and false-positive rates at the operating threshold you care about. If your cost of a false positive differs from a false negative, the model is tuned for that asymmetry. WHO I BUILD FOR Manufacturing automotive, electronics, food and beverage, pharma packaging (blister packs, labels). Industry 4.0 quality, MES, OEE teams. Warehouses and 3PLs pallet count automation, dock-to-stock, shrinkage reduction, returns inspection. Retail fashion, grocery, big-box, convenience. Loss prevention, store ops, planogram, customer-experience teams. Textile and apparel fabric mills, garment factories, finishing units, brand QA. Sports broadcast, performance analytics, training instrumentation. Construction and AEC progress detection, structural element counting, site safety, drone inspection. Healthcare patient fall prevention, ward safety, hand hygiene, infection-control compliance. HOW I WORK Projects start with a 30-minute call where I look at sample images or video from your environment. I tell you whether a model can do what you want, dataset size needed, realistic accuracy ceiling, and where the model will fail. I would rather decline than over-promise on a dataset that cannot support it. Pricing is fixed-scope per milestone annotation, baseline training, evaluation, retraining, integration handoff. Hourly only for maintenance after shipping. THE BRAINY NEURALS BACKING I work with the Brainy Neurals team 15 AI engineers, NVIDIA Inception Partner, AWS Activate, Microsoft for Startups. When a project needs camera infrastructure, edge deployment, or multi-camera coordination, that capacity sits with the team I bring them in cleanly, you do not manage two vendors. For pure model-building I lead end to end myself. LET'S TALK IF You have images or video from your environment, you know what you want detected, and need a model trained on YOUR data not a generic detector that misses 30% of edge cases. Send a sample with your first message. I reply within 24 hours with a feasibility read, dataset size, timeline.

Resilient, observable infrastructure designed to scale with your business. Six years of GCP, Kubernetes, and SRE expertise reducing downtime, cutting cloud costs, and eliminating deployment risk. ● 6+ years of hands-on experience as a DevOps & Cloud Engineer specializing in Google Cloud Platform (GCP), Kubernetes orchestration, and SRE practices. ● Expertise in Infrastructure as Code (IaC) using Terraform and Ansible for automated, scalable, and resilient cloud architectures. ● Strong proficiency in Kubernetes (GKE & EKS), including cluster optimization, autoscaling, service mesh, and workload management. ● Advanced CI/CD automation skills using Jenkins, GitHub Actions, and GitLab CI for zero-downtime deployments. ● Deep Linux systems expertise with advanced shell scripting (Bash) and Python for system hardening and performance optimization. ● Specialized in Observability using Prometheus, Grafana, ELK, and Stackdriver to reduce incidents and monitor SLAs. ● Proven track record in designing secure, HIPAA-compliant, and multi-tenant SaaS infrastructures. KEY RESPONSIBILITIES 1. Cloud Architecture & Infrastructure as Code (IaC) ● Architected and deployed scalable GCP environments using Compute Engine, GKE, Cloud Storage, and VPC. ● Automated end-to-end infrastructure provisioning using Terraform modules for VPC, Cloud NAT, IAM, and Cloud SQL. ● Implemented configuration management via Ansible to ensure environment standardization and reduce operational overhead. 2. Kubernetes Orchestration & Containerization ● Designed and managed GKE-based microservices with node pool optimization and secure service communication. ● Hardened Kubernetes security using RBAC policies, network policies, and private clusters. ● Streamlined application packaging and deployment using Docker and Helm-based charts. 3. CI/CD Pipeline Engineering ● Engineered robust CI/CD pipelines in GitHub Actions, Jenkins, and GitLab CI for container builds and automated testing. ● Implemented advanced deployment strategies, including Canary, Blue-Green, and Rolling updates, improving system uptime by 35%. ● Integrated automated rollback mechanisms and artifact versioning to ensure delivery pipeline reliability. 4. SRE, Monitoring & Observability ● Built comprehensive observability frameworks using Prometheus, Grafana, and Stackdriver for real-time metrics and alerting. ● Integrated SLO-based alerting and error budgets into incident workflows to improve service reliability. ● Optimized system performance by automating failover, pod disruption budgets, and resilient service deployments. 5. Security, Compliance & Networking ● Ensured data protection and compliance (including HIPAA) using KMS encryption, IAM least-privilege, and audit logging. ● Secured cloud networks using VPC Service Controls, ingress/egress firewalls, and IAM conditions. ● Managed identity and access through IAM and RBAC to enforce strict tenant isolation in multi-tenant SaaS platforms. 6. Event-Driven & Serverless Solutions ● Designed high-performance event-driven workflows using Pub/Sub, Cloud Functions, and EventArc, achieving up to 60% latency reduction. ● Integrated Cloud Run for serverless execution and cost-effective scaling of background processes.

I am a Computer Engineer specializing in Cyber Security, AI/ML Automation, and Full-Stack Python Development. I bridge the gap between building cutting-edge software and keeping it highly secure against modern threats. Whether you need an automated AI agent, a secure web platform, or a deep vulnerability assessment, I deliver clean, optimized, and strictly tested solutions. What I bring to your project: 🛡️ Cybersecurity & Threat Protection Vulnerability Assessments & Penetration Testing Secure Authentication Systems & Data Privacy Cybersecurity Tool Development & Threat Intelligence 🤖 AI, ML & Automation AI Agent Development & LLM Integrations (Chatbots, RAG) Machine Learning Automation & Data Scraping Intelligent Data Processing & Workflow Automation 💻 Full-Stack & Software Development End-to-end Web & Desktop Applications (Python, Next.js, React) Robust Database Design & API Integrations Responsive Front-End Development & UX Optimization Why Choose Me? I have a proven track record of strictly adhering to complex technical guidelines and delivering high-quality code. Having successfully executed highly secure, isolated-environment projects for enterprise-level standards (including research studies and architecture testing), I understand the importance of strict compliance, zero-data leaks, and meeting tight deadlines. I am highly detail-oriented, a clear communicator, and accountable for outcomes. Let’s connect and discuss how I can add secure, intelligent value to your next project!

Ravinder S. — Top Rated. $100K+ Earned. 25K+ Hrs. I'm a highly experienced Virtual Assistant and Content Manager dedicated to optimizing your business operations. My 96% Job Success Rate and Top Rated status are built on a foundation of delivering reliable, high-speed execution in key areas: Web Research, Data Scraping, Video Content Management, and Technical Support. If you need to migrate thousands of videos, build a clean email list, or manage large-scale data projects, my team and I are ready to take on the challenge and ensure your goals are met efficiently and professionally. INVITE ME TO YOUR JOB!!! YouTube Teachable Frame Wistia Udemy WordPress Download Upload Google Drive Dropbox

I am an Electric Vehicle Powertrain Engineer with 4+ years of hands-on experience in battery pack design, thermal modeling, and powertrain development. I’ve worked across global projects including digital twin modeling, battery analytics, and EV design. 🔹 Key Highlights: 🔋 Battery Pack Engineering: Designed and built a 15kWh Lithium-ion battery pack for a retrofitted SUV project, handling end-to-end development. 🌍 Global Collaboration: Delivered results for clients across India, Australia, and South America on projects ranging from e-bike battery systems to four-wheeler pack design. 🧠 Digital Twin & Simulation: Served as a simulation engineer for a Battery Electric Bus Digital Twin, optimizing performance and battery behavior under varied operating cycles. 🚚 Fleet-Focused Battery Optimization: Developed hardware and software for EV fleet owners to predict battery health, charging behavior, and replacement schedules using AI & analytics. 🛠️ Tool Expertise: Proficient in MATLAB/Simulink, SolidWorks, Python, Computer Vision, Machine Learning, and Generative AI. I’m looking for innovative projects in: -EV powertrain and battery design -Battery SoH/SoC prediction & analytics -Telematics and AI-based fleet optimization -Digital twins for EV systems -Building MVPs Let’s collaborate to drive the future of clean mobility through smart engineering and data-driven solutions.

M.Tech from YMCA in Computer Science and Engineering My Strong points which assure you best quality work Professionalism Incredible Technical skills Excellent writing skills Meeting deadline at any cost Hard Working Skills : SEO skills, Technical writing , Article writing , Assignments , Computer related skills, Information retrieval, Data mining, etc.