Hire the Best OpenVZ Specialists

Network & IT Infrastructure Expert | Mikrotik | VPN | Linux | Cloud With 25 years of experience in IT infrastructure and network engineering, I specialize in designing, securing, and optimizing network systems for businesses of all sizes. Whether you need a reliable VPN solution, a secure network setup, or an optimized server infrastructure, I can help you achieve your goals efficiently. What I Offer: Mikrotik & Network Configuration – Routing, Firewall, VLANs, QoS, Wireless VPN & Secure Networking – WireGuard, OpenVPN, IPsec, GRE tunnels Linux System Administration – Ubuntu, CentOS, Debian, server automation Cloud & Backup Solutions – Veeam, Rsync, ZFS, Proxmox, Disaster Recovery Server & API Hosting – OpenStreetMap servers, self-hosted solutions Troubleshooting & Performance Optimization – Network monitoring, security hardening I have worked with businesses, startups, and enterprise clients to ensure their IT infrastructure is secure, scalable, and high-performing. My approach is straightforward – I analyze, optimize, and deliver solutions that just work. Let’s connect and discuss how I can help with your project!

I design, optimize, and integrate real-time object detection and tracking pipelines for NVIDIA Jetson, RK3588, and cloud environments — with measurable gains in FPS, latency, and deployment stability. From YOLO training to TensorRT optimization and production integration, I build Computer Vision systems that work reliably on real hardware. If you need more than just a trained model — if you need a working AI system integrated into hardware or software — I deliver complete, production-ready solutions. 🎯 WHAT I DELIVER • End-to-End Deep Learning Pipelines Model architecture → dataset optimization → training → evaluation → deployment • Real-Time Object Detection & Multi-Object Tracking Optimized YOLO pipelines with stable tracking (DeepSORT / ByteTrack / BOT-SORT) • ⚡ Edge AI Acceleration & Performance Optimization TensorRT conversion, CUDA acceleration, latency reduction, memory tuning, FPS improvements • 🔗 AI Integration into Production Systems Jetson deployment, inference APIs, embedded integration, debugging, monitoring & system optimization 🏆 PROVEN EXPERIENCE • 5★ Upwork reviews for NVIDIA Jetson Nano, AGX & Orin deployments • Deployed Frigate and real-time CV pipelines on Jetson Orin NX • Optimized inference performance using TensorRT for improved real-time execution • Installed and configured LLM environments with secure key management & usage tracking • Research & production AI deployment experience at HBrain 🛠 TECH STACK Deep Learning: PyTorch, CNN architectures, YOLO variants Computer Vision: OpenCV, real-time video processing, detection & tracking Optimization: TensorRT, CUDA Systems: Linux, Embedded Systems, NVIDIA Jetson Languages: Python, C++ If you share your hardware target, dataset sample, or performance goal, I can propose a clear technical architecture and realistic delivery plan.

Senior FPGA Architect specializing in Xilinx Zynq and UltraScale+ platforms, delivering production-grade hardware architectures and high-performance embedded systems. I design scalable FPGA solutions from system architecture through RTL implementation, timing closure, Linux integration, and field deployment. My focus is building reliable, optimized, and maintainable systems — not just functional prototypes. Core Skills: FPGA Architecture & RTL Design -Verilog / VHDL (clean, timing-accurate RTL) -AXI4, AXI-Stream, AXI-Lite system design -High-throughput data pipelines -Custom IP core development -Timing closure & performance optimization -CDC handling and constraint strategy Xilinx Platforms -Zynq-7000 SoC -Zynq UltraScale+ MPSoC -Vivado (IP Integrator, Block Design, Constraints) -Vitis / SDK workflows Embedded Linux Integration -PetaLinux build systems -Device Tree customization -Kernel configuration & driver integration -U-Boot customization -PS–PL communication optimization Vision Acceleration & High-Speed Systems -Real-time image processing pipelines -MIPI CSI camera integration -Hardware acceleration using AXI-Stream architectures -DMA-based high-bandwidth transfers -Edge vision system optimization What I Deliver: -Clean and modular FPGA architecture -Production-ready Vivado & PetaLinux projects -Fully documented RTL and system design -Resource-optimized and timing-closed designs -Clear milestones and professional communication I work with startups, research teams, and industrial companies that require high-performance FPGA systems with long-term maintainability. If you need a Xilinx-focused architect who understands hardware, Linux, and system-level integration, I’m ready to support your project perfectly as you want from architecture to deployment.

🔴🔴🔴 I build reliable real-time video experiences that people actually trust from telehealth appointments and remote consultations to live broadcasting platforms and interactive streaming products I specialize in WebRTC, video pipelines, FFmpeg, Gstreamer and scalable streaming infrastructure. My focus is not only making video "work". but making it stable and smooth under real-world conditions My experience includes: ✅ WebRTC video/audio communication ✅ Live streaming platforms and broadcast workflows ✅ FFmpeg and GStreamer media pipelines ✅ Real-time stream processing ✅ Video transcoding, recording and playback optimization ✅ RTMP / HLS /WebRTC streaming architectures ✅ Media server integration(Wowza and custom solutions ✅ WebSocket-based real-time features ✅ Node.js and Python backend development ✅ C++ multimedia development ✅ HIPPA-focuesd healthcare video solutions I have worked on platforms involving: ✔️ Telemedicine and virtual healthcare visits ✔️ Secure patient-provider video communication ✔️ Live education and webinar systems ✔️ Streaming dashboards and monitoring tools ✔️ Interactive broadcast platforms ✔️ Video SaaS applications My engineering approach: 🎥 Low latency first A video platform is only successful when users forget the technology exists. I optimize latency, buffering, synchronization, and reliability. 🔒 Security and compliance mindset For healthcare and sensitive applications, I understand the importance of secure architecture, protected data handling, and HIPAA-oriented development practices. ⚙️ Full-stack ownership I can handle the complete streaming lifecycle: 💠 Frontend video interfaces 💠 Backend APIs 💠 Media processing pipelines 💠 Streaming infrastructure 💠 Cloud deployment 💠 Performance optimization Typical technologies I work with: WebRTC | FFmpeg | GStreamer | C++ | Python | Node.js | WebSockets | AWS | Docker | Linux | Media Servers If you need someone who understands both the engineering details behind video infrastructure and the product experience users see, I can help build your streaming solution from architecture to production. Let’s create a streaming platform that works smoothly when real users are watching, talking, and depending on it.

23+ years in Linux/Windows administration, DevOps, and cloud infrastructure. I build, secure, and scale production systems 24/7 — for MSP clients and direct engagements across industries. If your server is down, your deployment is failing, or you need infrastructure built right the first time — I'm the engineer you call. ━━ SERVER & SYSTEMS ━━ Linux (CentOS, Debian, Ubuntu, Amazon Linux, Rocky Linux) and Windows Server (2012–2025). Active Directory, Group Policy, Intune, hybrid identity. Nginx, Apache, Sendmail, Qmail, Postfix, Exim — MTA setup, Dovecot, SpamAssassin, OpenDKIM, SPF/DKIM/DMARC. Veeam, Acronis, cloud-native DR. Hypervisors: KVM, VMware ESXi, Hyper-V, Proxmox VE — HA clusters, live migration, Ceph/ZFS, Proxmox Backup Server. Redis, Varnish. QNAP NAS — storage management, Plex Media Server deployment, VPN tunnel integration. WHM/cPanel, Plesk, Virtualmin, CloudPanel, CyberPanel. ━━ CLOUD INFRASTRUCTURE ━━ AWS: EC2, ECS, EKS, RDS, S3, Route 53, IAM, VPC, CloudWatch, Lambda, API Gateway, Elastic Disaster Recovery. GCP: Cloud Run, Cloud Build, Firestore, GKE, IAM, VPC, Pub/Sub, Cloud Storage, Secret Manager, Cloud Monitoring. Cloudflare (WAF, Workers, Zero Trust, CDN). DigitalOcean, Hetzner, Vultr. MinIO: S3-compatible object storage on bare metal, VMs, Kubernetes — distributed mode, SSE-S3/KMS, lifecycle policies, drop-in S3 for backups and MLOps. Railway: Full-stack PaaS — GitHub/Docker auto-build, managed DBs (PostgreSQL, MySQL, Redis), private networking, env variables, cron workers, auto-scaling. ━━ SECRETS MANAGEMENT ━━ HashiCorp Vault: Dynamic secrets for AWS IAM, databases, cloud providers — TTL-bound credentials, auto-revoke. PKI for internal CA and on-demand TLS. Vault Secrets Operator for Kubernetes (etcd-free pod injection). Raft HA, RBAC, audit logging, Shamir unseal. Transit engine for encryption-as-a-service. CI/CD integration to eliminate hardcoded credentials. ━━ DEVOPS & CI/CD ━━ Docker, Kubernetes (EKS + self-managed: kubeadm, k3s, RKE2), Helm, Kamal. GitHub Actions, GitLab CI, Bitbucket Pipelines. Terraform, Ansible. ArgoCD, Flux (GitOps). Prometheus, Grafana, Datadog. Traefik: Cloud-native ingress — auto TLS, Docker/K8s service discovery, ForwardAuth, rate limiting, canary routing. Caddy: Zero-config-TLS reverse proxy — automatic HTTPS, on-demand certs. Preferred for self-hosted stacks. ━━ NETWORKING & SECURITY ━━ WireGuard, OpenVPN (MFA/ZTNA), IPSec/Libreswan, Xray/REALITY. Tailscale/Headscale — self-hosted mesh VPN, VPS tunnel setup, ACL policies, subnet routing. MikroTik, Juniper, SonicWall, Fortinet (FortiGate, FortiManager, FortiAnalyzer). pfSense, OPNsense. BGP, OSPF. Auth0, OAuth2, OIDC, Duo Security. LDAP/RADIUS, 802.1x, NPS/AD CS/Intune. ━━ DEVELOPMENT & AUTOMATION ━━ Python: FastAPI, Flask, Django, RESTful APIs, OpenAI API, ETL pipelines (Airbyte), orchestration (Airflow, n8n), data processing (pandas), Retool internal tools. Clean, documented, production-ready code. ━━ CONTAINERIZATION & DEPLOYMENT ━━ Docker Compose, Kubernetes manifests, Helm. Portainer, Coolify, Elestio, Traefik, Caddy. MinIO (K8s Operator/Tenant). Nextcloud, n8n, self-hosted app deployment. Vercel, Railway, Netlify, Replit. ━━ MSP & VOIP ━━ Duo Security, SpamTitan, ScreenConnect, ESET, Acronis. M365 multi-tenant administration. Asterisk and Vicidial (AWS + on-prem) — SIP trunks, IVR, call center setup, NetSIP integration. ━━ LEGACY & EARLY CAREER ━━ Foundational background in Windows desktop application development (VB, C#, Access) and web development (Core PHP, Laravel). ━━ WHAT CLIENTS HIRE ME FOR ━━ ► Emergency triage: servers down, services failing, breaches in progress ► Greenfield AWS/cloud environments built to security and compliance best practices ► CI/CD pipelines rebuilt to work reliably — no more failed deployments at 2am ► Self-hosted stacks that cut cloud bills without cutting uptime ► Kubernetes from scratch: EKS, k3s, RKE2 — setup, Helm, GitOps, day-2 operations ► HashiCorp Vault rollouts — eliminate hardcoded credentials across all pipelines ► Proxmox VE clusters: HA, live migration, Ceph storage, Proxmox Backup Server ► Network redesigns: Zero Trust, WireGuard mesh, BGP multi-homed, FortiGate, pfSense ► Ongoing managed infrastructure support and 24/7 incident response ► GCP solution design & delivery — Cloud Run, microservices, IAM, developer onboarding/offboarding ► Infrastructure, Security & Application Audits — server, network, database, cloud, and web stack ━━ INDUSTRIES SERVED ━━ SaaS · Fintech · Healthcare · E-commerce · Legal · Real Estate · Media · Education · Government · Telecoms · Startups · Enterprise. Single-server MVPs to multi-region, multi-account production environments. ━━ COMMUNICATION & PROCESS ━━ I don't disappear after the kickoff call. Clear updates at every stage, thorough documentation, and a proper handover on every engagement. Timezone-flexible. Slack, Teams, WhatsApp, Zoom, or Webex. If the work matters, it gets done right.

Senior escalation and performance engineer with deep experience across distributed systems, virtualization platforms, and GPU- accelerated environments. Focused on low-level Linux debugging, performance diagnostics, observability, and tooling/telemetry development (Python/bash). I approach problems as a big-picture thinker, focused on whole system analysis and understanding how interactions across hardware, virtualization layers, and distributed components produce real-world behavior. Over the past decade I've specialized in resolving the most complex, multi-layer technical issues within enterprise environments - bridging compute, storage, hypervisors, networking, and largescale virtualized stacks. I work at the hardware/software boundary to uncover root causes, stabilize systems, and enable durable fixes. Recent work includes: * GPU performance debugging (NVIDIA) and advanced instrumentation * Distributed systems analysis and cross-team technical investigations